Learn STEM by Doing (and having fun)!

science fair board

The Ultimate Science Fair Project Guide – From Start to Finish

When our daughter entered her first science fair, we kept seeing references to the Internet Public Library Science Fair Project Resource Guide .  However, the IPL2 permanently closed… taking the guide with it.  Bummer !  After now participating in over a half-dozen elementary school science fairs (including a first-place finish!), we created our own guide to help other students go from start to finish in their next science fair project.  If this is your first science fair, have fun!  If you’ve done it before, we hope this is your best one!  Let’s science!

*Images from Unsplash

How to Use the STEMium Science Fair Project Ultimate Guide?

good hypothesis for science fair

If you are just starting off and this is your first science fair, here’s how to get started:

  • Start with the STEMium Science Fair Project Roadmap . This is an infographic that “maps” out the process from start to finish and shows all the steps in a visual format.
  • Getting Started – Why Do a Science Fair Project . Besides walking through some reasons to do a project, we also share links to examples of national science fair competitions, what’s involved and examples of winning science fair experiments .  *Note: this is where you’ll get excited!!
  • The Scientific Method – What is It and What’s Involved . One of the great things about a science fair project is that it introduces students to an essential process/concept known as the scientific method.  This is simply the way in which we develop a hypothesis to test.
  • Start the Process – Find an Idea . You now have a general idea of what to expect at the science fair, examples of winning ideas, and know about the scientific method.  You’re ready to get started on your own project.  How do you come up with an idea for a science fair project?  We have resources on how to use a Google tool , as well as some other strategies for finding an idea.
  • Experiment and Build the Project . Time to roll up those sleeves and put on your lab coat.
  • Other Resources for the Fair. Along the way, you will likely encounter challenges or get stuck.  Don’t give up – it’s all part of the scientific process.  Check out our STEMium Resources page for more links and resources from the web.  We also have additional experiments like the germiest spot in school , or the alka-seltzer rocket project that our own kids used.

Getting Started – Why Do a Science Fair Project

For many students, participating in the science fair might be a choice that was made FOR you.  In other words, something you must do as part of a class.  Maybe your parents are making you do it.  For others, maybe it sounded like a cool idea.  Something fun to try.  Whatever your motivation, there are a lot of great reasons to do a science fair project.

  • Challenge yourself
  • Learn more about science
  • Explore cool technology
  • Make something to help the world! (seriously!)
  • Win prizes (and sometimes even money)
  • Do something you can be proud of!

Many students will participate in a science fair at their school.  But there are also national competitions that include 1000s of participants.  There are also engineering fairs, maker events, and hackathons.  It’s an exciting time to be a scientist!!  The list below gives examples of national events.

  • Regeneron Science Talent Search
  • Regeneron International Science and Engineering Fair
  • Google Science Fair
  • Conrad Challenge
  • Microsoft Imagine Cup
  • JSHS Program
  • Exploravision

What’s the Scientific Method?

Before we jump into your project, it’s important to introduce a key concept:  The Scientific Method .  The scientific method is the framework scientists use to answer their questions and test their hypothesis.  The figure below illustrates the steps you’ll take to get to the end, but it starts with asking a question (you’ve already finished the first step!).

scientific method - for the science fair

After we find a problem/idea to tackle, and dig into some background research, we create a guess on a potential solution.  This is known as our hypothesis.

Example of a Hypothesis

My brother can hold his breath underwater longer than I can (“our problem”) –> how can I hold my breath longer? (“our question”) –>  if I drink soda with caffeine before I hold my breath, I will be able to stay underwater longer (“our solution”).  Our hypothesis is that using caffeine before we go underwater will increase the time we hold our breath.  We’re not sure if that is a correct solution or not at this stage – just taking a guess.

Once we have a hypothesis, we design an experiment to TEST our hypothesis.  First, we will change variables/conditions one at a time while keeping everything else the same, so we can compare the outcomes.

Experimental Design Example

Using our underwater example, maybe we will test different drinks and count how long I can hold my breath.  Maybe we can also see if someone else can serve as a “control” – someone who holds their breath but does not drink caffeine.  For the underwater experiment, we can time in seconds how long I hold my breath before I have a drink and then time it again after I have my caffeine drink.  I can also time how long I stay underwater when I have a drink without caffeine.

Then, once we finish with our experiment, we analyze our data and develop a conclusion.

  • How many seconds did I stay underwater in the different situations? 
  • Which outcome is greater?  Did caffeine help me hold my breath longer? 

Finally, (and most important), we present our findings. Imagine putting together a poster board with a chart showing the number of seconds I stayed underwater in the different conditions.

Hopefully you have a better sense of the scientific method.  If you are completing a science fair project, sticking with these steps is super important.  Just in case there is any lingering confusion, here are some resources for learning more about the scientific method:

  • Science Buddies – Steps of the Scientific Method
  • Ducksters – Learn About the Scientific Method
  • Biology4kids – Scientific Method
  • National Institute of Environmental Health Sciences – Scientific Method

What Science Fair Project Should I Do?

science fair - keep an open mind

And science is no different.

Just know that if you can get through the idea part, the rest of the science fair is relatively smooth sailing.  Remember to keep an open mind and a positive outlook .  Each year 100s of 1000s of kids, teenagers and college students come up with new projects and ideas to test.  You’ve got this!

What Makes a Great Science Fair Project?  Start with a Problem To Solve

good hypothesis for science fair

As we discuss below, good science experiments attempt to answer a QUESTION.  Why is the sky blue?  Why does my dog bark at her reflection?  First, we will step through some ways to find TESTABLE QUESTIONS.  These questions that you create will be what you work on for your science fair project.  Pick something fun, something interesting and something that you are excited about.  Not sure what that looks like?  Step through some of the tips below for help.

Use the Google Science Fair Idea Generator

Are you surprised Google made a tool for science fair projects??  Our post called the low-stress way to find a science fair project gives a more in-depth overview about how to use it.  It’s a great first stop if you’re early in the brainstorming process.

Answer your own questions

good hypothesis for science fair

  • What type of music makes you run faster?
  • Can boys hold their breath underwater longer than girls?
  • How can I be sure the sandwich I bought is gluten free?
  • If we plant 100 trees in our neighborhood, will the air be cleaner?

Still stuck? Get inspiration from other science fair projects

good hypothesis for science fair

Check out the Getting Started section and look at some of the winning science project ideas, our STEMium experiments and our Resource page.  We’ve presented a ton of potential idea starters for you – take time to run through some of these, but our suggestion is to give yourself a deadline to pick an idea .  Going through the lists could take you longer than you think, and in many cases sometimes it’s just better to pick something and go for it!  The next section will take you through how to create testable questions for your project.

Starting Your Project: Find A Testable Question

The best experiments start with a question.  Taking that a step further, the questions you useyou’re your science fair project should be ones that are TESTABLE.  That means something you can measure.  Let’s look at an example.  Let’s say I’m super excited about baking.  OH YEA!!  I love baking.  Specifically, baking cakes.  In fact, I love baking cakes so much that I want to do a science project related to cakes.  We’ve got two questions on cakes that we created.  Which question below could be most useful for a science fair project:

1)  Can eating cake before a test improve your score?

2)  Why isn’t carrot cake more popular than chocolate cake?

The second question isn’t necessarily a bad question to pick.  You could survey people and perhaps tackle the question that way.  However, chances are you will get a lot of different answers and it will probably take a lot of surveys to start to pick up a trend.

Although, the first question might be a little easier.  How would you test this?   Maybe you pick one type of cake and one test that you give people.  If you can get five people to take the test after eating cake and five people take the test with no cake, you can compare the test results.  There might be other variables beyond cake that you could test (example: age, sex, education).  But you can see that the first question is probably a little easier to test.  The first question is also a little easier to come up with a hypothesis.

At this point, you’ve got an idea.  That was the hard part!  Now it’s time to think a little more about that idea and focus it into a scientific question that is testable and that you can create a hypothesis around .

What makes a question “testable”?

Testable questions are ones that can be measured and should focus on what you will change.  In our first cake question, we would be changing whether or not people eat cake before a test.  If we are giving them all the same test and in the same conditions, you could compare how they do on the test with and without cake.  As you are creating your testable question, think about what you WILL CHANGE (cake) and what you are expecting to be different (test scores).  Cause and effect.  Check out this reference on testable questions for more details.

Outline Your Science Project – What Steps Should I Take?

good hypothesis for science fair

Do Background Research / Create Hypothesis

Science experiments typically start with a question (example: Which cleaning solution eliminates more germs?).  The questions might come up because of a problem.  For example, maybe you’re an engineer and you are trying to design a new line of cars that can drive at least 50 mph faster.  Your problem is that the car isn’t fast enough.  After looking at what other people have tried to do to get the car to go faster, and thinking about what you can change, you try to find a solution or an answer.  When we talk about the scientific method, the proposed answer is referred to as the HYPOTHESIS.

good hypothesis for science fair

  • Science Buddies
  • National Geographic

The information you gather to answer these research questions can be used in your report or in your board.  This will go in the BACKGROUND section.  For resources that you find useful, make sure you note the web address where you found it, and save in a Google Doc for later.

Additional Research Tips

For your own science fair project, there will likely be rules that will already be set by the judges/teachers/school.  Make sure you get familiar with the rules FOR YOUR FAIR and what needs to be completed to participate .  Typically, you will have to do some research into your project, you’ll complete experiments, analyze data, make conclusions and then present the work in a written report and on a poster board.  Make a checklist of all these “to do” items.  Key things to address:

  • Question being answered – this is your testable question
  • Hypothesis – what did you come up with and why
  • Experimental design – how are you going to test your hypothesis
  • Conclusions – why did you reach these and what are some alternative explanations
  • What would you do next? Answering a testable question usually leads to asking more questions and judges will be interested in how you think about next steps.

Need more help?  Check out these additional resources on how to tackle a science fair project:

  • Developing a Science Fair Project – Wiley
  • Successful Science Fair Projects – Washington University
  • Science Fair Planning Guide – Chattahoochee Elementary

Experiment – Time to Test That Hypothesis

Way to go!  You’ve found a problem and identified a testable question.  You’ve done background research and even created a hypothesis.  It’s time to put it all together now and start designing your experiment.  Two experiments we have outlined in detail – germiest spot in school and alka-seltzer rockets – help show how to set up experiments to test variable changes.

The folks at ThoughtCo have a great overview on the different types of variables – independent, dependent and controls.  You need to identify which ones are relevant to your own experiment and then test to see how changes in the independent variable impacts the dependent variable .  Sounds hard?  Nope.  Let’s look at an example.  Let’s say our hypothesis is that cold weather will let you flip a coin with more heads than tails.  The independent variable is the temperature.  The dependent variable is the number of heads or tails that show up.  Our experiment could involve flipping a coin fifty times in different temperatures (outside, in a sauna, in room temperature) and seeing how many heads/tails we get.

One other important point – write down all the steps you take and the materials you use!!  This will be in your final report and project board.  Example – for our coin flipping experiment, we will have a coin (or more than one), a thermometer to keep track of the temperature in our environment.  Take pictures of the flipping too!

Analyze Results – Make Conclusions

Analyzing means adding up our results and putting them into pretty pictures.  Use charts and graphs whenever you can.  In our last coin flipping example, you’d want to include bar charts of the number of heads and tails at different temperatures.  If you’re doing some other type of experiment, take pictures during the different steps to document everything.

This is the fun part….  Now we get to see if we answered our question!  Did the weather affect the coin flipping?  Did eating cake help us do better on our test??  So exciting!  Look through what the data tells you and try to answer your question.  Your hypothesis may / may not be correct.  It’s not important either way – the most important part is what you learned and the process.  Check out these references for more help:

  • How to make a chart or graph in Google Sheets
  • How to make a chart in Excel

Presentation Time – Set Up Your Board, Practice Your Talk

Personally, the presentation is my favorite part!  First, you get to show off all your hard work and look back at everything you did!  Additionally, science fair rules should outline the specific sections that need to be in the report, and in the poster board – so, be like Emmett from Lego Movie and read the instructions.  Here’s a loose overview of what you should include:

  • Title – what is it called.
  • Introduction / background – here’s why you’re doing it and helping the judges learn a bit about your project.
  • Materials/Methods – what you used and the steps in your experiment. This is so someone else could repeat your experiment.
  • Results – what was the outcome? How many heads/tails?  Include pictures and graphs.
  • Conclusions – was your hypothesis correct? What else would you like to investigate now?  What went right and what went wrong?
  • References – if you did research, where did you get your information from? What are your sources?

The written report will be very similar to the final presentation board.  The board that you’ll prepare is usually a three-panel board set up like the picture shown below.

science fair board

To prepare for the presentation, you and your partner should be able to talk about the following:

  • why you did the experiment
  • the hypothesis that was tested
  • the data results
  • the conclusions.

It’s totally OK to not know an answer.  Just remember this is the fun part!

And that’s it!  YOU DID IT!! 

Science fair projects have been great opportunities for our kids to not only learn more about science, but to also be challenged and push themselves.  Independent projects like these are usually a great learning opportunity.  Has your child completed a science fair project that they are proud of?  Include a pic in the comments – we love to share science!!  Please also check out our STEMium Resources page for more science fair project tips and tricks .

STEMomma is a mother & former scientist/educator. She loves to find creative, fun ways to help engage kids in the STEM fields (science, technology, engineering and math).  When she’s not busy in meetings or carpooling kids, she loves spending time with the family and dreaming up new experiments  or games they can try in the backyard.

Leave a Comment Cancel reply

Notify me of follow-up comments by email.

Notify me of new posts by email.

The Science Fair: Hypothesising and Testing with Statistics – A Practical Guide

Avatar of Michelle Connolly

Table of Contents

The Science Fair: Science fairs ignite a spirit of discovery and offer a platform for young minds to apply the scientific method to their own innovative ideas. By encouraging students to ask questions, science fair projects become an adventure into formulating hypotheses. As we navigate through the diverse world of free science fair projects, the focus remains on developing a deep understanding of the subject at hand. This involves designing experiments that are both creative and rooted in rigorous scientific principles , from gathering data to interpreting results.

The Science Fair LearningMole

The heart of a science fair lies in its ability to transform textbook theories into tangible experiences. Progressing from a mere concept to conducting statistical analysis, the process teaches budding scientists the importance of assessing hypothesis validity. Understanding probability, comparing different groups, and considering sample sizes are core components of this exploration. As participants relate their findings to the natural world, they leverage educational resources like LearningMole to summarise project outcomes, answering frequently asked questions along the way.

Key Takeaways

  • Engaging with science fairs strengthens the practical application of the scientific method.
  • Statistical analysis is a critical tool for validating hypotheses in science fair projects.
  • Resources like LearningMole support the educational journey from theory to practical discovery.

Formulating Hypotheses

The Science Fair

When we approach a science fair project, the heart of our investigation lies in our hypotheses. These are the foundational statements that we put to the test through our experiments.

Understanding Hypotheses

A hypothesis is a clear, testable statement of prediction. It forms the basis for an experiment designed to test its validity. The hypothesis often stems from previous knowledge and observations, leading to a reasonable assumption that can be tested scientifically. In the context of a science fair, we formulate two types of hypotheses: the null hypothesis , which predicts no effect or change, and the alternative hypothesis , which represents our actual prediction about the outcome.

For instance, if we’re testing a new plant food, our null hypothesis could be that this food will not significantly affect plant growth compared to the standard food. Conversely, our alternative hypothesis would be that the plant food will result in noticeable differences in growth.

Constructing a Good Hypothesis

To construct a good hypothesis , we must ensure that it is not only testable but is also based on known information and provides a direction for our investigation. A well-formulated hypothesis establishes the variables we will study and hints at the potential relationship between them.

For example, a robust hypothesis might state, “If plants are given the new plant food, then they will grow taller than plants given the standard food over a period of four weeks.” This gives us a clear prediction that can be measured, the variable being the plant food type, and sets the stage for our experimental design.

Designing the Experiment

When we’re gearing up for a science fair , the design of our experiment is crucial. We need to lay a clear foundation that includes identifying all the variables and ensuring we have a robust control group.

Identifying Variables

To begin, we identify the independent variable , which is what we’ll change or manipulate throughout the experiment. It’s essential because it’s the source of our observed effects. Next, we acknowledge our dependent variable , the aspect we measure or observe while conducting the experiment. The dependent variable provides us with the data we need to analyse. It’s also important to consider other variables that could affect the outcome, as a fair test requires that these are kept constant whenever possible.

Establishing Control Groups

The control group is our baseline; it does not receive the independent variable treatment. This group allows us to compare results and determine the independent variable’s actual impact. Having a control group elevates the reliability of our findings by providing a point of reference against which we can measure any changes linked to the independent variable. The goal is to maintain a fair test where only the independent variable’s effects are measured and extraneous variables are controlled or minimised.

Gathering Data

The Science Fair LearningMole

In the pursuit of scientific enquiry, data is our most valuable asset. It allows us to observe patterns , draw conclusions, and validate our hypotheses. To ensure our science fair projects are grounded in reliable evidence, we must be meticulous in gathering data.

Methods of Collection

When we collect data, the methods we choose must align with our objectives. If our project investigates the growth of seedlings , we might observe and record the height of the plants daily. Should we explore the weight of earthworms , a precise scale becomes imperative for measuring samples. In some instances, we employ structured observations, taking note of variables in an organised manner. In other cases, we might use experiments where we control conditions to see the effect on our subjects. Both approaches are vital in the pursuit of accurate and meaningful data.

Organising Data in Tables

Once we have our data, the next crucial step is organisation. We usually display data in a table , which is a clear format for delineating values and maintaining records. For example:

Sample NumberSeed TypeDay 1 Height (cm)Day 7 Height (cm)
1Sunflower2.05.5
2Sunflower2.36.0
3Pumpkin1.84.3

This table format allows us to easily compare observations and discern trends or anomalies in our data. By keeping our tables neat and our categories distinct, we make the process of analysing data and formulating results considerably more efficient and accurate.

Conducting Statistical Analysis

When we engage in scientific exploration, especially at a science fair, adopting a robust statistical approach is vital. We wield statistics as a tool to make sense of our data, and this section will guide you through the intricate process of performing statistical analysis.

Understanding Inferential Statistics

Inferential statistics allow us to draw conclusions from our data by making inferences about a population based on a sample. When we calculate measures such as the mean , variance , and standard deviation , we’re essentially summarising our data in a way that enables us to infer properties about the larger population from which our sample is drawn.

Consider this scenario: If we’re exploring average heights, we don’t need to measure every individual in a population. By selecting a sample and computing the average and standard deviation , we have a snapshot of the population’s height distribution.

Calculating Test Statistics

Once we understand the basics of inferential statistics, our next step is calculating the test statistic . This is a key aspect of hypothesis testing where the difference we observe in our sample may reflect a true effect rather than just random variation.

To calculate a test statistic, we must choose an appropriate statistical test. For example, if we’re comparing the means of two groups, we might use a t-test. We’ll use our collected data to compute this statistic, which might look something like this:

GroupSample Size (n)Mean (average)Standard Deviation (s)
130175 cm10 cm
230165 cm12 cm

Our test statistic helps us assess the likelihood of our observed difference under the null hypothesis —the assumption that there is no effect or difference. If the test statistic surpasses a certain critical value based on the chosen significance level (often set at 0.05), we have reason to reject the null and consider our results statistically significant.

By mastering these concepts and methods, we pave the way for clearer, more precise scientific communication, and harness the full power of statistics to lend credibility to our findings.

Assessing Hypothesis Validity

In science fairs and research alike, the validity of a hypothesis is critical. We meticulously evaluate evidence to support or refute our predictions through rigorous statistical testing .

Evaluating Significance Levels

The significance level, often denoted as alpha (α), is a threshold that we set before conducting a hypothesis test. This allows us to decide whether the evidence is strong enough to reject the null hypothesis. In many scientific studies, a common value for α is 0.05, meaning there is a 5% chance of rejecting the null hypothesis when it is actually true. When determining the significance level, it’s crucial to consider factors such as the context of the study and the potential for Type I errors (false positives).

Interpreting P-Values

The p-value is the probability of obtaining test results at least as extreme as the observed results, assuming that the null hypothesis is correct. If a p-value is lower than the predetermined significance level, we say the result is statistically significant. This means it is unlikely to have occurred by chance, and the null hypothesis can be rejected. However, it’s important to interpret p-values with caution. They do not indicate the probability that the hypothesis is true, nor do they reflect the size or importance of an effect. When assessing p-values, we also factor in the degrees of freedom , which relates to the number of independent pieces of information in the data set.

Understanding Probability and Chance

Before diving into the intricacies of science fairs and statistical tests, we must grasp the essential roles that probability and chance play in the process. These concepts form the backbone of hypothesising and help us interpret our experimental outcomes.

The Role of Probability in Testing

Probability serves as the cornerstone for our decision-making during hypothesis testing. We utilise it to determine the likelihood that our results are due to chance rather than any actual effect. For example, in a science fair context, if we’re assessing whether a certain fertilizer increases plant growth, the probability helps us express the confidence in our results. It’s the foundation upon which we calculate the proportion of times an outcome would occur under a specific hypothesis.

Statistical significance is often associated with a probability threshold, typically set at 5% or lower, indicating the factor at which we’re willing to reject the null hypothesis. This probability, or p -value, informs us about the chance of observing our experiment’s results, or something more extreme, if there really were no effect at all.

Randomness and Chance Factors

Our experiments and observations often involve elements of randomness and chance, factors that can significantly influence outcomes. The role of randomness in testing is to ensure that the effects we notice are reflective of true relationships rather than coincidental patterns.

For instance, in the normal distribution, the bell curve illustrates how the random variables we measure are likely to be distributed. Most values are expected to cluster around the mean, with fewer falling towards the extremes. This distribution helps us understand and anticipate the range of variability inherent in our data due to chance. By acknoledging these chance factors, we can better isolate the variables we’re testing and measure their true effect with greater precision.

Comparing Different Groups

When we look at scientific studies, especially those showcased at science fairs, comparing different groups becomes pivotal. We’re fascinated by the differences and what these tell us about our hypotheses.

Measuring Group Differences

We often use t-tests to measure the differences between groups. This helps us understand if the average height, or any other variable we’re interested in, is significantly different from one group to another. When setting up our experiments, we define these groups carefully – perhaps a treatment group and a control group – to ensure we’re making accurate comparisons.

Using a t-test allows us to compare the average (mean) values of the two groups and determine if any observed difference is likely due to chance or if it’s statistically significant. For example, let’s say we’re at a science fair, and students are testing whether a new kind of fertiliser affects plant growth. They would measure the average height of plants in both the group that received the fertiliser and the control group that did not.

Analysing Between-Group Variability

Analysing between-group variability involves looking at the variance within each group and comparing it between groups. We’re interested not just in the mean but also in how spread out the data is – the variance tells us that. This is crucial when interpreting the results of a t-test ; because even if two groups have the same mean, how much the data points vary can influence whether we consider the results conclusive.

For instance, in our science fair example, we might find that the average plant height is the same in both groups. However, if one group’s heights are much more varied than the other’s, it could suggest underlying factors at play that a simple average won’t reveal. It’s these nuances that make statistics so vital to understanding our world.

Considering Sample Sizes

When we embark on a scientific journey, it’s vital that we give thoughtful consideration to the size of our sample, as it can profoundly influence the validity and reliability of our research findings.

The Impact of Sample Size on Results

Sample size is the number of observations in a study and is a critical element we must address in research design. Larger sample sizes generally provide more reliable results, as they reduce the effect of outliers and increase the likelihood that the sample accurately represents the population.

However, choosing the correct sample size is not always straightforward. Statistical significance might be affected by sample size; with smaller samples, it’s harder to find a significant effect even if one exists. Conversely, if we use too large a sample, even minute effects can seem statistically significant.

When we, the researchers, decide on the sample size, we need to consider various factors:

  • The expected effect size : We’re looking for evidence in our data that supports our hypothesis, and a larger effect size requires a smaller sample to detect.
  • The level of precision we desire: A smaller margin of error requires a larger sample size.
  • Resource limitations : We often have to balance the ideal sample size with what’s practical and affordable.

Here’s a concise breakdown:

Factor Affecting Sample SizeInfluence on Sample Size
Expected effect sizeLarger effect size → Smaller sample size needed
Desired precisionHigher precision → Larger sample size required
Resource constraintsLimited resources → Sample size may be constrained

In considering variables, we need to understand the relationship between variables and outcomes. A more complex study with many variables might require a larger sample size to distinguish the effects of each variable on the outcome.

Ultimately, the decisions we make on sample size will affect the power of a statistical test, which is the probability of correctly rejecting a false null hypothesis. A study’s power increases with sample size, which means we are more likely to detect true effects when they exist.

In conclusion, it’s crucial that we approach the topic of sample size with diligence and care. It’s a component that can make or break the significance and credibility of our research.

Relating to the Natural World

The beauty of a science fair project lies in its ability to connect us to the natural world around us. Through hands-on experiments, we test hypotheses that draw on the phenomena we observe in nature, leading to a wealth of understanding and appreciation for the environment.

Experiments in Natural Settings

When we conduct science projects in natural settings , it’s crucial to choose a testable question that relates directly to the phenomena we’re investigating. For example, understanding how cold winters affect the local fauna in Alaska can be an intriguing study. In contrast, exploring how wildlife thrives in the warm climate of Florida offers a different set of observations and testable parameters.

By designing experiments in these varying conditions, we learn not only about specific environments but also about the broader concepts that govern life across the natural world . Whether it’s monitoring temperature effects on plant growth or observing animal adaptations to seasonal changes, our findings contribute to the collective knowledge of ecology and environmental science .

Our experiments and the subsequent analysis hinge on the strength of our statistical testing. We apply rigorous statistical methods to evaluate our data, ensuring that our conclusions are sound and reflect genuine trends or patterns in nature.

Leveraging Educational Resources

In our ever-evolving quest for knowledge, we recognise the value of incorporating a variety of educational resources to support and enhance the learning experience. It is pivotal that we utilise these resources effectively to reinforce theoretical understanding and practical application, particularly within the realm of experimental science education.

Utilising Science Videos and Instructions

We find that integrating science videos into our learning framework offers visual and auditory reinforcements that can simplify complex theories and rules of science fair projects. These multimedia tools are particularly beneficial when attempting to break down intricate experiments or when illustrating scientific concepts that may be abstract when read from a textbook.

For instance, a video demonstrating the statistical methods used in hypothesis testing can provide a dynamic and memorable educational experience. It aids in cementing the conceptual knowledge and the practical skills necessary to conduct successful science experiments and interpret the resultant data.

By offering free science fair project resources, such as step-by-step guides and instructional videos, we are equipping learners with the tools to explore the realms of science in a structured yet flexible manner. These resources serve as a bridge between education and experience, encouraging students to apply their learning in practical, real-world situations.

It’s essential for us to remember that education isn’t just about absorbing information; it’s about engaging with content actively and critically. We ensure that the resources we select not only adhere to the established educational rules but also encourage a more profound insight into the scientific method and its applications.

Summarising the Project Outcomes

The Science Fair LearningMole

When we reach the end of a science fair project, it’s crucial to effectively summarise the outcomes. It’s about presenting the results in a way that supports our initial predictions and lets us understand the value of our work.

Drawing Conclusions from Data

In this part of our project, we focus on the statistics that have been gathered and employ formulas to analyse the data. It’s time to look at the results and see if they align with our hypothesis. We use various statistical tests to determine if the differences we’ve observed are significant or if they could be due to chance.

Charts or graphs : These visual aids are quite helpful when it comes to summarising large data sets. They can illustrate trends and patterns that support our conclusions.

Statistical evidence : Here’s where we apply statistical formulas to test our predictions. If the data reveals a significant effect, it indicates that our results are unlikely to have happened by chance. We use the outcome of these tests to substantiate our claims and demonstrate the value of our project.

Contextualising results : By comparing our findings with standard values and past research, we add depth to our conclusions. We can say for certainty that our work not only supports the existing body of knowledge but also adds to it.

In short, by summarising the outcomes of our science fair project, we wrap up our research in a cohesive and coherent package. Our conclusions don’t just highlight what we’ve learned; they give us insights that can be applied to future scientific exploration.

Frequently Asked Questions

Let’s explore some common queries around crafting and testing hypotheses at science fairs, which will help us set a firm foundation for our scientific inquests.

How does one formulate a hypothesis for a science fair project?

We begin by identifying a problem or question and then proposing a clear, concise statement that predicts the outcome of our experiment. This prediction, or hypothesis, should be based on initial observations or scientific principles .

Could you outline the key steps in the scientific method used for experiments?

Certainly, we first pose a question, gather background information, and construct a hypothesis. Our next steps include designing and conducting an experiment to test our hypothesis, analysing the data, and drawing conclusions that will confirm or refute our initial hypothesis.

What characteristics make a hypothesis testable in the context of statistical analysis?

A testable hypothesis must be precise and measurable. It should state a clear relationship between variables that we can assess through observation and experimentation, allowing us to use statistical analysis to determine the validity of the hypothesis.

Can you provide examples of effective hypotheses for primary school level science projects?

One example could be, “If we water plants with warm water, then they will grow taller than plants watered with cold water.” It’s specific, testable, and age-appropriate, allowing youngsters to observe the effects easily.

What is the role of statistics in testing a hypothesis during a science fair?

Statistics help us interpret our experimental data rigorously, letting us quantify the likelihood that our observations are due to chance. This strengthens our conclusion by providing a scientific basis for evaluating our hypothesis.

How might one distinguish a robust hypothesis from a weak one in scientific inquiry?

A robust hypothesis is not only testable but also grounded in scientific knowledge. It addresses all the variables, is falsifiable, and precisely predicts an outcome, whereas a weak hypothesis might be vague, not directly testable, or based on a subjective premise.

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

Related Posts

The Role of Music Teachers: Amazing Champions in Nurturing Future Musical Talent

The Role of Music Teachers: Amazing Champions in Nurturing Future Musical Talent

Music and the Brain: Unlocking Enhanced Cognitive Skills Through Incredible Instrumental Learning

Music and the Brain: Unlocking Enhanced Cognitive Skills Through Incredible Instrumental Learning

Overcoming Stage Fright: Secrets to Boosting Your Performance Confidence

Overcoming Stage Fright: Secrets to Boosting Your Performance Confidence

Science Fair Wizard

  • Pick a topic
  • Determine a problem
  • Investigate your problem
  • Formulate a hypothesis

Experimenting

  • Define the problem
  • Select your variables
  • Draft your hypothesis
  • Write your procedure
  • Get permissions
  • Test your hypothesis
  • Compile your data
  • Write your research paper
  • Construct your exhibit
  • Prepare your presentation
  • Show Time! Pre-science fair checklist
  • Submit your paperwork

PLANNING

Step 5C: Draft your hypothesis

Your draft hypothesis statement should include the following:

  • the question or problem you are trying to answer;
  • how the independent variable will be changed;
  • the measurable or testable effect it will have on the dependent variable ;
  • and your best guess as to what you think the outcome will be.

Use the space on the Experiment Design Worksheet to draft your hypothesis statement.

Tip: A hypothesis problem can be stated in different ways.  Here are some examples:

As a question: Does temperature affect the rate of plant growth? As a statement: Temperature may affect the rate of plant growth. As an if/then statement: If temperature is related to the rate of plant growth, then changing the temperature will change the rate of plant growth.

A hypothesis is a statement that predicts the outcome of your experiment, and is informed by the research you have done on your topic.

next

The digital library project

-->
 

Every time you read about doing an experiment or starting a science fair project, it always says you need a hypothesis.  How do you write a hypothesis?  What is it?  How do you come up with a good hypothesis?

 

 

 

of Your Favorite Company!

What is a hypothesis?

No.  A hypothesis is sometimes described as an educated guess.  That's not the same thing as a guess and not really a good description of a hypothesis either.  Let's try working through an example.

If you put an ice cube on a plate and place it on the table, what will happen?  A very young child might guess that it will still be there in a couple of hours.  Most people would agree with the hypothesis that:

An ice cube will melt in less than 30 minutes.

You could put sit and watch the ice cube melt and think you've proved a hypothesis.  But you will have missed some important steps.

For a good science fair project you need to do quite a bit of research before any experimenting.  Start by finding some information about how and why water melts.  You could read a book, do a bit of Google searching, or even ask an expert.  For our example, you could learn about how temperature and air pressure can change the state of water.  Don't forget that elevation above sea level changes air pressure too.

Now, using all your research, try to restate that hypothesis.

An ice cube will melt in less than 30 minutes in a room at sea level with a temperature of 20C or 68F.

But wait a minute.  What is the ice made from?  What if the ice cube was made from salt water, or you sprinkled salt on a regular ice cube?  Time for some more research.  Would adding salt make a difference?  Turns out it does.  Would other chemicals change the melting time?

Using this new information, let's try that hypothesis again.

An ice cube made with tap water will melt in less than 30 minutes in a room at sea level with a temperature of 20C or 68F.

Does that seem like an educated guess?  No, it sounds like you are stating the obvious.

At this point, it is obvious only because of your research.  You haven't actually done the experiment.  Now it's time to run the experiment to support the hypothesis.

A hypothesis isn't an educated guess.  It is a tentative explanation for an observation, phenomenon, or scientific problem that can be tested by further investigation.

Once you do the experiment and find out if it supports the hypothesis, it becomes part of scientific theory.

Notes to Parents:

  • Every parent must use their own judgment in choosing which activities are safe for their own children.  While Science Kids at Home makes every effort to provide activity ideas that are safe and fun for children it is your responsibility to choose the activities that are safe in your own home.
  • Science Kids at Home has checked the external web links on this page that we created.  We believe these links provide interesting information that is appropriate for kids.  However, the internet is a constantly changing place and these links may not work or the external web site may have changed.  We also have no control over the "Ads by Google" links, but these should be related to kids science and crafts.  You are responsible for supervising your own children.  If you ever find a link that you feel is inappropriate, please let us know.

Kids Science Gifts   Science Experiments   Science Fair Projects   Science Topics   Creative Kids Blog

Kids Crafts   Privacy Policy   Copyright © 2016 Science Kids at Home, all rights reserved.

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, generate accurate citations for free.

  • Knowledge Base

Methodology

  • How to Write a Strong Hypothesis | Steps & Examples

How to Write a Strong Hypothesis | Steps & Examples

Published on May 6, 2022 by Shona McCombes . Revised on November 20, 2023.

A hypothesis is a statement that can be tested by scientific research. If you want to test a relationship between two or more variables, you need to write hypotheses before you start your experiment or data collection .

Example: Hypothesis

Daily apple consumption leads to fewer doctor’s visits.

Table of contents

What is a hypothesis, developing a hypothesis (with example), hypothesis examples, other interesting articles, frequently asked questions about writing hypotheses.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess – it should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations and statistical analysis of data).

Variables in hypotheses

Hypotheses propose a relationship between two or more types of variables .

  • An independent variable is something the researcher changes or controls.
  • A dependent variable is something the researcher observes and measures.

If there are any control variables , extraneous variables , or confounding variables , be sure to jot those down as you go to minimize the chances that research bias  will affect your results.

In this example, the independent variable is exposure to the sun – the assumed cause . The dependent variable is the level of happiness – the assumed effect .

Here's why students love Scribbr's proofreading services

Discover proofreading & editing

Step 1. Ask a question

Writing a hypothesis begins with a research question that you want to answer. The question should be focused, specific, and researchable within the constraints of your project.

Step 2. Do some preliminary research

Your initial answer to the question should be based on what is already known about the topic. Look for theories and previous studies to help you form educated assumptions about what your research will find.

At this stage, you might construct a conceptual framework to ensure that you’re embarking on a relevant topic . This can also help you identify which variables you will study and what you think the relationships are between them. Sometimes, you’ll have to operationalize more complex constructs.

Step 3. Formulate your hypothesis

Now you should have some idea of what you expect to find. Write your initial answer to the question in a clear, concise sentence.

4. Refine your hypothesis

You need to make sure your hypothesis is specific and testable. There are various ways of phrasing a hypothesis, but all the terms you use should have clear definitions, and the hypothesis should contain:

  • The relevant variables
  • The specific group being studied
  • The predicted outcome of the experiment or analysis

5. Phrase your hypothesis in three ways

To identify the variables, you can write a simple prediction in  if…then form. The first part of the sentence states the independent variable and the second part states the dependent variable.

In academic research, hypotheses are more commonly phrased in terms of correlations or effects, where you directly state the predicted relationship between variables.

If you are comparing two groups, the hypothesis can state what difference you expect to find between them.

6. Write a null hypothesis

If your research involves statistical hypothesis testing , you will also have to write a null hypothesis . The null hypothesis is the default position that there is no association between the variables. The null hypothesis is written as H 0 , while the alternative hypothesis is H 1 or H a .

  • H 0 : The number of lectures attended by first-year students has no effect on their final exam scores.
  • H 1 : The number of lectures attended by first-year students has a positive effect on their final exam scores.
Research question Hypothesis Null hypothesis
What are the health benefits of eating an apple a day? Increasing apple consumption in over-60s will result in decreasing frequency of doctor’s visits. Increasing apple consumption in over-60s will have no effect on frequency of doctor’s visits.
Which airlines have the most delays? Low-cost airlines are more likely to have delays than premium airlines. Low-cost and premium airlines are equally likely to have delays.
Can flexible work arrangements improve job satisfaction? Employees who have flexible working hours will report greater job satisfaction than employees who work fixed hours. There is no relationship between working hour flexibility and job satisfaction.
How effective is high school sex education at reducing teen pregnancies? Teenagers who received sex education lessons throughout high school will have lower rates of unplanned pregnancy teenagers who did not receive any sex education. High school sex education has no effect on teen pregnancy rates.
What effect does daily use of social media have on the attention span of under-16s? There is a negative between time spent on social media and attention span in under-16s. There is no relationship between social media use and attention span in under-16s.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

  • Sampling methods
  • Simple random sampling
  • Stratified sampling
  • Cluster sampling
  • Likert scales
  • Reproducibility

 Statistics

  • Null hypothesis
  • Statistical power
  • Probability distribution
  • Effect size
  • Poisson distribution

Research bias

  • Optimism bias
  • Cognitive bias
  • Implicit bias
  • Hawthorne effect
  • Anchoring bias
  • Explicit bias

Prevent plagiarism. Run a free check.

A hypothesis is not just a guess — it should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations and statistical analysis of data).

Null and alternative hypotheses are used in statistical hypothesis testing . The null hypothesis of a test always predicts no effect or no relationship between variables, while the alternative hypothesis states your research prediction of an effect or relationship.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

McCombes, S. (2023, November 20). How to Write a Strong Hypothesis | Steps & Examples. Scribbr. Retrieved June 18, 2024, from https://www.scribbr.com/methodology/hypothesis/

Is this article helpful?

Shona McCombes

Shona McCombes

Other students also liked, construct validity | definition, types, & examples, what is a conceptual framework | tips & examples, operationalization | a guide with examples, pros & cons, get unlimited documents corrected.

✔ Free APA citation check included ✔ Unlimited document corrections ✔ Specialized in correcting academic texts

Back Home

  • Science Notes Posts
  • Contact Science Notes
  • Todd Helmenstine Biography
  • Anne Helmenstine Biography
  • Free Printable Periodic Tables (PDF and PNG)
  • Periodic Table Wallpapers
  • Interactive Periodic Table
  • Periodic Table Posters
  • Science Experiments for Kids
  • How to Grow Crystals
  • Chemistry Projects
  • Fire and Flames Projects
  • Holiday Science
  • Chemistry Problems With Answers
  • Physics Problems
  • Unit Conversion Example Problems
  • Chemistry Worksheets
  • Biology Worksheets
  • Periodic Table Worksheets
  • Physical Science Worksheets
  • Science Lab Worksheets
  • My Amazon Books

Hypothesis Examples

Hypothesis Examples

A hypothesis is a prediction of the outcome of a test. It forms the basis for designing an experiment in the scientific method . A good hypothesis is testable, meaning it makes a prediction you can check with observation or experimentation. Here are different hypothesis examples.

Null Hypothesis Examples

The null hypothesis (H 0 ) is also known as the zero-difference or no-difference hypothesis. It predicts that changing one variable ( independent variable ) will have no effect on the variable being measured ( dependent variable ). Here are null hypothesis examples:

  • Plant growth is unaffected by temperature.
  • If you increase temperature, then solubility of salt will increase.
  • Incidence of skin cancer is unrelated to ultraviolet light exposure.
  • All brands of light bulb last equally long.
  • Cats have no preference for the color of cat food.
  • All daisies have the same number of petals.

Sometimes the null hypothesis shows there is a suspected correlation between two variables. For example, if you think plant growth is affected by temperature, you state the null hypothesis: “Plant growth is not affected by temperature.” Why do you do this, rather than say “If you change temperature, plant growth will be affected”? The answer is because it’s easier applying a statistical test that shows, with a high level of confidence, a null hypothesis is correct or incorrect.

Research Hypothesis Examples

A research hypothesis (H 1 ) is a type of hypothesis used to design an experiment. This type of hypothesis is often written as an if-then statement because it’s easy identifying the independent and dependent variables and seeing how one affects the other. If-then statements explore cause and effect. In other cases, the hypothesis shows a correlation between two variables. Here are some research hypothesis examples:

  • If you leave the lights on, then it takes longer for people to fall asleep.
  • If you refrigerate apples, they last longer before going bad.
  • If you keep the curtains closed, then you need less electricity to heat or cool the house (the electric bill is lower).
  • If you leave a bucket of water uncovered, then it evaporates more quickly.
  • Goldfish lose their color if they are not exposed to light.
  • Workers who take vacations are more productive than those who never take time off.

Is It Okay to Disprove a Hypothesis?

Yes! You may even choose to write your hypothesis in such a way that it can be disproved because it’s easier to prove a statement is wrong than to prove it is right. In other cases, if your prediction is incorrect, that doesn’t mean the science is bad. Revising a hypothesis is common. It demonstrates you learned something you did not know before you conducted the experiment.

Test yourself with a Scientific Method Quiz .

  • Mellenbergh, G.J. (2008). Chapter 8: Research designs: Testing of research hypotheses. In H.J. Adèr & G.J. Mellenbergh (eds.), Advising on Research Methods: A Consultant’s Companion . Huizen, The Netherlands: Johannes van Kessel Publishing.
  • Popper, Karl R. (1959). The Logic of Scientific Discovery . Hutchinson & Co. ISBN 3-1614-8410-X.
  • Schick, Theodore; Vaughn, Lewis (2002). How to think about weird things: critical thinking for a New Age . Boston: McGraw-Hill Higher Education. ISBN 0-7674-2048-9.
  • Tobi, Hilde; Kampen, Jarl K. (2018). “Research design: the methodology for interdisciplinary research framework”. Quality & Quantity . 52 (3): 1209–1225. doi: 10.1007/s11135-017-0513-8

Related Posts

Apologia Logo

  • Choosing Homeschool Curriculum
  • Curriculum Path
  • FREE Homeschool Bootcamp
  • Co-Op Resources
  • Book Extras
  • Earth Science
  • Chemistry and Physics
  • General Science
  • Physical Science
  • Marine Biology
  • Advanced Biology
  • Health and Nutrition
  • Language Arts
  • Preschool Science
  • Elementary Science
  • Middle School Science
  • High School Science
  • ⭐ New Products ⭐
  • Video Lessons
  • Teaching Materials
  • Self-Paced Courses
  • Live Classes
  • Lab Equipment
  • For Parents
  • About Self-Paced
  • Free Self-Paced Demo
  • Self Paced Courses
  • About Live Classes
  • Live Class Catalog
  • Class Calendar
  • Instructors
  • Terms and Conditions
  • AutoGrade+ Course Testing
  • Homeschool Bootcamp
  • Science Fair
  • Christian Schools
  • Events Calendar
  • Mission, Vision, & Values
  • Our Approach
  • Read Reviews
  • Scholarships
  • Support Center
  • Media Registration
  • Military, Missionary and Minister Discounts

Save 25% during our summer sale, plus get free shipping on orders over $150!

*Some exclusions apply. Read free shipping terms and conditions .

good hypothesis for science fair

How to Do a Science Fair Project

Science fair projects are a wonderful opportunity to go beyond the knowledge you learn in a textbook. Through independent research, a science fair project allows you to explore any scientific or engineering topic that interests you, study a subject in depth and come up with a hands-on experiment that investigates a question you have about the world around you.

Let’s walk you through the complete process of how to do a science fair project. Including, coming up with an idea, creating a testable question, conducting the experiment, recording and examining your results and even preparing your presentation. Make sure that when you conduct any project, you follow all safety procedures and have adult supervision.

Science Fair Project Expectations

The expectations for varying ages will be different. Although all the steps for a science fair project are covered in the video below, you’ll want to note these average expectations by grade level:

1 -3 rd grade: What I Did and What I Learned

  • Younger elementary students would explore a science topic that reflects their current interests, as well as share what they did and what they learned in the process.

4-6 th grade: Simplified Scientific Method

  • Older elementary students would explore a topic more in-depth by creating a simple hypothesis and going through a simplified version of the scientific method.

7-8 th grade: Scientific Method

  • Middle school students should follow the scientific method; however, their background research and future studies would be brief.

9-12 th grade: All Portions, Including Research, Conclusions and Future Studies

  • Finally, high school students would complete all portions of the process covered in the video, including in-depth research, conclusions, and future studies.

Ultimately we want you to have fun exploring and experimenting in a safe manner, experiencing the joy that comes from discovering something new.

Brainstorming an Experiment Idea

The first thing you need for a science fair project is an idea, and the key to a successful science fair project begins with you. What are your interests? What questions do you have about the things you like to do every day? Because you are going to spend lots of time researching, experimenting, and presenting, make your topic something you are excited about. If you choose a project idea that interests you, then you’ll be more motivated to complete it, do it well, and, most importantly, have fun learning!

A good science fair project goes beyond the classic volcano model (unless you absolutely love studying volcanoes). You want your project to stand out as you share your newfound knowledge with others.

Now there are some topics that are not a good choice for a science fair project. For example, don’t pick any topics that include hard-to-measure data, such as how a person’s feelings or memory would be affected by certain foods, music, or other stimuli. If you are comparing products, try to avoid results that are open to personal opinions. You want results that are measurable. Do not choose a topic that requires dangerous materials, and please don’t pick a topic that could cause injury or pain to a living animal or human!

A traditional science question may come about like this:

  • Let’s say you enjoy baking bread- you have always been fascinated to watch the loaves grow as you stare through the oven window. This might start you thinking about how yeast causes the bread to rise.
  • Or perhaps you have a garden that is constantly bothered by ants. You might start to wonder what structural barriers you could test that would keep them out.
  • If you like to play sports, perhaps you could test what types of shoe treads would make you run faster.
  • If you’re considering an engineering design project, look around at designs and technology around you to see if there are ways to improve them. Maybe you want to make something stronger, faster, or smaller. For this type of project, you’re basically looking for ways you can improve existing designs.

These are all great topics to start with, but you need to think about that subject a bit in order to come up with a testable question. So the next step involves doing some research to gather background information on your topic.

Doing Some Background Research

Once you’ve come up with an idea, gather some library books and research internet sources on the subject. If you know a professional in the area of your study, they might be helpful to brainstorm ideas with, too. For older students, it’s important to learn what research has already been completed about your subject. This way, you can create an intelligent experiment. Particularly for high school students, background research (called a literature review) is an important part of your project- taking up a good portion of your efforts.

Let’s say that in reading about yeast and its role in bread, you learn that yeast is a type of single-celled fungus. When yeast cells are activated (by placing them in warm water), they feed on sugars and release carbon dioxide, which forms bubbles that become trapped in the dough, causing it to rise. That background information might cause you to ask some questions:

You might ask, “Does yeast do better with warmer or cooler oven temperatures while baking?” “Are there certain acidic materials that affect yeast, such as lemon juice or vinegar?” “How much sugar do yeast cells need?” “What type of sugar works best to get the most even rise?”

Make sure to write your research discoveries and all of these questions in your lab notebook. That way, you can refer back to this information when you need to.

This brings us to the next step in the process.

Choosing a Testable Question and Formatting it as a Hypothesis

In looking over your questions, you should now try to identify which of them can be tested. Which questions might be easy to explore and measure? You want to pick one thing to test in your project, and don’t forget to identify which one of the topics is interesting to YOU!

A helpful way to format your questions is “How does (something) affect (something)? That way, you are setting yourself up to create an experiment to answer that question. You might ask, “How does tail length affect a paper airplane’s distance of flight?” Or “How does fertilizer affect the growth of a tomato plant?”

In reviewing your background reading and research on baking bread, you might wonder what type of sugar is best to produce the greatest bread rise. Your question might be, “How does sugar type affect bread rise?” You imagine trying a bread recipe using white granulated sugar, unbleached sugar, honey, agave syrup, maple syrup, or stevia. Then, you can discuss this thinking process with your parents, a science teacher, or a professional baker.

Is this a good, testable question? Can you easily measure bread rising? Yes, you can use a ruler to measure the height of each loaf after it is baked. So this looks to be a good science fair topic – it’s testable, it’s measurable and you are interested in exploring the outcome!

Don’t forget to write this thought process in your notebook. If you discuss your idea with a professional, make sure to write down what you talked about. Again, this will be helpful for later reference.

Once you come up with a good question, it’s time to reword it into a statement called a hypothesis . A hypothesis is a testable statement – not a question – that is based on some observed situation or the relationship between elements in a situation. To say it more simply, you are making an educated guess based on the information you have observed and researched. You want to try to answer the question you have and then conduct an experiment to see if the results will either support your hypothesis or reject it.

So, if your question is, “How does sugar type affect bread rise?” you need to predict which sugar type YOU think would work the best. After doing some reading on the subject, you might notice that most yeast bread recipes call for white sugar. So your hypothesis might be, “If I use white sugar in yeast bread, then it will rise higher than other sugars.” Now THAT is a statement you can test.

One of the easiest formats for a hypothesis is called an If-then statement . It is worded in an easy-to-test way. Some examples include,

If a paper airplane is made of heavier paper, then it will fly farther than paper airplanes made of lighter paper. If disinfecting wipes are used on a cell phone daily, then the cell phone will have fewer bacteria on it compared to a cell phone that is not disinfected daily.

At this point, you have chosen your topic, done some background research on it, chosen a testable question and formed a hypothesis. All of these should be listed in your notebook. Now it’s time to set up your experiment.

Planning Your Experiment to Test One Variable

When setting up your experiment, it’s important to make every component the same, except the one you want to test. Each changeable element in an experiment is called a variable. It can vary within the experiment. For example, in varying the sugar type for the bread baking example, there are other things that could possibly change. You could bake your loaves in different types of bread pans. You might use different recipes for each loaf. You might bake the loaves at different time periods or cook them at different heights within the oven. All these variables – these things that can vary – can have an effect on your result – which is how high the bread rises. So, in order to make sure that ONLY sugar type changes, you should reduce or remove all the other variables as best as possible.

That means you should use the same type of baking pans, and bake them in the same oven on the same oven rack. And to make it even better, bake each of the loaves in the center of the oven. That might mean you have to bake them one at a time, but oven temperatures vary around the inside. You should follow the same recipe for all your loaves, using the same quantity of sugar, but the ONLY thing you vary is the type of sugar. That way, any differences in rise will most likely be due to the sugar type the yeast fed on.

Ideally, you also should conduct this same experiment more than once for each sugar type – preferably at least three times. These are called trials . You should conduct several trials so that you have more than one set of results to analyze. Each trial will include the use of the same bread pans, the same recipe, the same placement in the oven, etc. The only variable that should change is the sugar type.

If you are doing an engineering project, your experiment might look a bit different. Say you are designing a machine or device to do a task, such as exploring the best wing design for a paper airplane glider in order to make it travel the farthest. You come up with a design, create a model, test it, and then refine the design. In this case, you’ll be making several illustrations in your notebook that you can refer to. Engineering project design is more of a cyclical process. You create a design, test it several times, make a design adjustment, retest it again several times, and so on until you find the design that works best. However, just like the bread-baking example, you should still keep all the other variables, besides wing design, the same. Variables such as the height you release the plane from, the way you release the plane and the location in which you perform the experiment (which would preferably be indoors, so there is no wind variable) should all be kept constant. Once you discover the best wing length, for example, you could continue the process of keeping that best wing length and then varying another aspect, such as adjusting wing width or bending the wings upward on the tips.

As you plan your experiment, make a list in your notebook of all the materials you are going to use and write out your planned procedure. Make sure your notebook is neat and easy to read.

Now it’s time to do the actual experiment.

Conducting Your Experiment and Recording Your Observations

When conducting your experiment, measure the data carefully, record it in your notebook and include any units. In the bread-rising example, you might measure how many centimeters high each loaf of bread is, once it is removed from the loaf pan. Whenever possible, use the metric system of measurement. If you’re testing the speed of a wooden car, you could use meters per second by marking off the number of meters in the car’s path and using a phone stopwatch. When you record your data, you might want to use a chart or table to keep everything organized.

Along with your data, include photos or illustrations of your experimental setup.

Make a note if you have to change your procedure at all. Sometimes once you begin conducting an experiment, you notice new variables or other issues that need to be adjusted. That is perfectly fine, as long as you make a note of what you actually did and include that in your final report.

Examining Your Results and Making a Conclusion

The purpose of examining the results of your experiment is to look for any trends from your data and come up with conclusions based on those trends.

In the bread-baking example, you might have observed that using honey produced the highest rise. Compare that result to your original hypothesis. In our example, the hypothesis was, “If I use white sugar in yeast bread, then it will rise higher than other sugars.” Was the hypothesis correct? Did you discover a different result?

In this case, the hypothesis was not supported. Now, it’s perfectly OK if your results do not support your hypothesis. In your discussion about your experiment, you can explain what you learned from the data you collected and add the new result as your conclusion.

The most important part of this step is that you understand your subject well and can use the data you collected to come up with a conclusion – even if it is a conclusion you were surprised to get. If you hypothesized that white sugar would produce the highest rise, and your results demonstrated that honey produced the highest rise, then you’ve learned something by conducting this experiment (and you can adjust how you bake in the future!).

Some experiments will produce data that can be graphed. This is the time to do that. Analyzing data can include creating a pie chart, a bar chart, a line graph, or tables. These are great ways to present your data in an easy-to-read manner. Add these graphs or charts into your notebook, if you haven’t already.

A final part of this step includes identifying any data that were way outside of the expected findings. Perhaps one of the loaves of bread using white sugar didn’t rise at all. If something like this happens, think about what might have caused it. Maybe in this one case, the yeast was dissolved in water that was too hot, and perhaps they didn’t survive. Or perhaps the electricity went out during a portion of your cooking time, and the oven may have cooled down a bit. Although both the water temperature and the baking temperature should be variables that are controlled, sometimes there are circumstances that cause one of these variables to change, causing an unexpected outcome.

Creating a Science Fair Display Board and Report

Now it’s time to take your scientific process, findings and conclusions and create a display board and project report.

It’s best to write a report first so you can chronicle the entire process of your project. The format of a science fair report is basically the same as a lab report. You can find helps in writing a lab report by watching our “How to Write a Lab Report” YouTube video. Younger students, of course, are not expected to write as much as older students. For example, early elementary students should write or dictate a sentence or two for each of their steps.

The display board is a way people can tell at a glance what your project was all about. It is typically a three-sided corrugated board that presents all the elements of your science experiment. It has a clear title at the top center, of the board that is a form of your original question. As a general rule, the display board has your Problem, Purpose, and Hypothesis on the left side of the board, your Procedure and Materials – diagrams, graphs, and/or pictures go in the center of the board and your Results and Conclusion (along with any other images) go on the right side of the board.

Keep everything clear and simple – not cluttered. Don’t include too much text, and add clear graphs or tables in coordinating colors.  Add pictures of you conducting your experiment and close-ups of some of your results. The goal is to make your display board pleasing to the eye – not too flashy, and not too plain – but you want to include all of the major elements.

In your conclusion, tie the new information into a bigger-picture statement. In our bread-baking example, you might say that producing higher-rising bread would create more delicious bread and larger-sized sandwiches. Think about why people should care about this particular issue. Make it something they will be happy they learned about – something they can relate to. How can this information help in other areas? You can suggest how this information might benefit other types of baking, improving the texture and rise of cookies and cakes.

Preparing a Short Presentation

One of the unique things about a science fair is that students get to present their work to others. Presentations might sound a little scary, but you are basically describing how you chose your project, what you did, and what you discovered. It is a good way to teach others what you learned!

You can discuss how you came up with the idea for your project, whether it was a question you had or a problem you wanted to try to solve. Make sure you can explain the experimental process and the results you collected. Note whether your experimental results supported your hypothesis or not, and what you learned from this process. If something surprised you, include that as well. Finally, it’s always good to include how your results might be a springboard to future experimentation on your topic.

Practice your presentation for your family or friends to get some feedback and encouragement.

Wrapping Up

Science fair projects help you better understand a STEM topic and see its real-life application. Plus, they build creativity and can be both interesting and fun. You can immerse yourself in an experiment, exploring the answer to a question you have and eventually becoming an expert on the subject.

There are lots of potential experiments to choose from, but the best ones come from your own ideas. You might be way more excited to test “Do video games really rot my brain?” versus “Do plants need sunlight?” Both involve critical thinking and creativity and yet when the exploration comes out of something you enjoy, the fun – and greater learning – begins!

Enter Apologia’s 2024 Homeschool Science Fair

Apologia 2024 Science Fair

Head over to our entry page to learn more!

Science fairs are a wonderful opportunity to go beyond the knowledge you learn in a textbook. We walk you through the complete process of coming up with an idea, creating a testable question, conducting the experiment, recording and examining your results and even preparing your presentation.

Image that reads Space Place and links to spaceplace.nasa.gov.

Do a Science Fair Project!

How do you do a science fair project.

Cartoon of boy and girl doing experiment with small containers on table.

Ask a parent, teacher, or other adult to help you research the topic and find out how to do a science fair project about it.

Test, answer, or show?

Your science fair project may do one of three things:

Test an idea (or hypothesis.)

Answer a question.

Show how nature works.

Topic ideas:

Space topics:.

How do the constellations change in the night sky over different periods of time?

How does the number of stars visible in the sky change from place to place because of light pollution?

Learn about and demonstrate the ancient method of parallax to measure the distance to an object, such as stars and planets.

Study different types of stars and explain different ways they end their life cycles.

Earth topics:

Cross-section drawing of ocean at mouth 9of a river, with heavier saltwater slipping in under the fresh water.

How do the phases of the Moon correspond to the changing tides?

Demonstrate what causes the phases of the Moon?

How does the tilt of Earth’s axis create seasons throughout the year?

How do weather conditions (temperature, humidity) affect how fast a puddle evaporates?

How salty is the ocean?

Solar system topics:

Drawing of the solar system.

How does the size of a meteorite relate to the size of the crater it makes when it hits Earth?

How does the phase of the Moon affect the number of stars visible in the sky?

Show how a planet’s distance from the Sun affects its temperature.

Sun topics:

Observe and record changes in the number and placement of sun spots over several days. DO NOT look directly at the Sun!

Make a sundial and explain how it works.

Show why the Moon and the Sun appear to be the same size in the sky.

How effective are automobile sunshades?

Study and explain the life space of the sun relative to other stars.

Drawing of a science fair project display.

Pick a topic.

Try to find out what people already know about it.

State a hypothesis related to the topic. That is, make a cause-and-effect-statement that you can test using the scientific method .

Explain something.

Make a plan to observe something.

Design and carry out your research, keeping careful records of everything you do or see.

Create an exhibit or display to show and explain to others what you hoped to test (if you had a hypothesis) or what question you wanted to answer, what you did, what your data showed, and your conclusions.

Write a short report that also states the same things as the exhibit or display, and also gives the sources of your initial background research.

Practice describing your project and results, so you will be ready for visitors to your exhibit at the science fair.

Follow these steps to a successful science fair entry!

If you liked this, you may like:

Illustration of a game controller that links to the Space Place Games menu.

Scientific Hypothesis Examples

  • Scientific Method
  • Chemical Laws
  • Periodic Table
  • Projects & Experiments
  • Biochemistry
  • Physical Chemistry
  • Medical Chemistry
  • Chemistry In Everyday Life
  • Famous Chemists
  • Activities for Kids
  • Abbreviations & Acronyms
  • Weather & Climate
  • Ph.D., Biomedical Sciences, University of Tennessee at Knoxville
  • B.A., Physics and Mathematics, Hastings College

A hypothesis is an educated guess about what you think will happen in a scientific experiment, based on your observations. Before conducting the experiment, you propose a hypothesis so that you can determine if your prediction is supported.

There are several ways you can state a hypothesis, but the best hypotheses are ones you can test and easily refute. Why would you want to disprove or discard your own hypothesis? Well, it is the easiest way to demonstrate that two factors are related. Here are some good scientific hypothesis examples:

  • Hypothesis: All forks have three tines. This would be disproven if you find any fork with a different number of tines.
  • Hypothesis: There is no relationship between smoking and lung cancer. While it is difficult to establish cause and effect in health issues, you can apply statistics to data to discredit or support this hypothesis.
  • Hypothesis: Plants require liquid water to survive. This would be disproven if you find a plant that doesn't need it.
  • Hypothesis: Cats do not show a paw preference (equivalent to being right- or left-handed). You could gather data around the number of times cats bat at a toy with either paw and analyze the data to determine whether cats, on the whole, favor one paw over the other. Be careful here, because individual cats, like people, might (or might not) express a preference. A large sample size would be helpful.
  • Hypothesis: If plants are watered with a 10% detergent solution, their growth will be negatively affected. Some people prefer to state a hypothesis in an "If, then" format. An alternate hypothesis might be: Plant growth will be unaffected by water with a 10% detergent solution.
  • Null Hypothesis Examples
  • Scientific Hypothesis, Model, Theory, and Law
  • What Are the Elements of a Good Hypothesis?
  • What Is a Hypothesis? (Science)
  • Understanding Simple vs Controlled Experiments
  • Six Steps of the Scientific Method
  • Null Hypothesis Definition and Examples
  • What Is a Testable Hypothesis?
  • What Are Examples of a Hypothesis?
  • Theory Definition in Science
  • How To Design a Science Fair Experiment
  • High School Science Fair Projects
  • Middle School Science Fair Project Ideas
  • Science Projects for Every Subject
  • What 'Fail to Reject' Means in a Hypothesis Test

Science Bob

  • Experiments
  • Science Fair Ideas
  • Science Q&A
  • Research Help
  • Experiment Blog

Okay, this is the hardest part of the whole project…picking your topic. But here are some ideas to get you started. Even if you don’t like any, they may inspire you to come up with one of your own. Remember, check all project ideas with your teacher and parents, and don’t do any project that would hurt or scare people or animals. Good luck!

  • Does music affect on animal behavior?
  • Does the color of food or drinks affect whether or not we like them?
  • Where are the most germs in your school? ( CLICK for more info. )
  • Does music have an affect on plant growth?
  • Which kind of food do dogs (or any animal) prefer best?
  • Which paper towel brand is the strongest?
  • What is the best way to keep an ice cube from melting?
  • What level of salt works best to hatch brine shrimp?
  • Can the food we eat affect our heart rate?
  • How effective are child-proof containers and locks.
  • Can background noise levels affect how well we concentrate?
  • Does acid rain affect the growth of aquatic plants?
  • What is the best way to keep cut flowers fresh the longest?
  • Does the color of light used on plants affect how well they grow?
  • What plant fertilizer works best?
  • Does the color of a room affect human behavior?
  • Do athletic students have better lung capacity?
  • What brand of battery lasts the longest?
  • Does the type of potting soil used in planting affect how fast the plant grows?
  • What type of food allow mold to grow the fastest?
  • Does having worms in soil help plants grow faster?
  • Can plants grow in pots if they are sideways or upside down?
  • Does the color of hair affect how much static electricity it can carry? (test with balloons)
  • How much weight can the surface tension of water hold?
  • Can some people really read someone else’s thoughts?
  • Which soda decays fallen out teeth the most?
  • What light brightness makes plants grow the best?
  • Does the color of birdseed affect how much birds will eat it?
  • Do natural or chemical fertilizers work best?
  • Can mice learn? (you can pick any animal)
  • Can people tell artificial smells from real ones?
  • What brands of bubble gum produce the biggest bubbles?
  • Does age affect human reaction times?
  • What is the effect of salt on the boiling temperature of water?
  • Does shoe design really affect an athlete’s jumping height?
  • What type of grass seed grows the fastest?
  • Can animals see in the dark better than humans?

Didn’t see one you like? Don’t worry…look over them again and see if they give you an idea for your own project that will work for you. Remember, find something that interests you, and have fun with it.

To download and print this list of ideas CLICK HERE .

good hypothesis for science fair

  • The scientific method
  • science fair resources
  • a little helpful advice

ADS (these ads support our free website)

Share this page.

  • Skip to primary navigation
  • Skip to main content
  • Skip to footer

Science Struck

Science Struck

Creating Science Fair Project Boards

Like it? Share it!

Most science fair projects require a display board to organize information and present results of experiments. Many students use tri-fold display boards that unfold to 36″ tall by 48″ wide for this purpose.

Visuals such as charts and graphs are not essential components of every project, but they can make the project more captivating for judges and easier for viewers to grasp.

Once students have conducted and collected data for their experiment, it is imperative that they create a display board as this can make all the difference in how judges view it.

When creating a science fair project board, it is crucial to keep layout in mind. Like books, readers will read your project board from left to right and top to bottom – this means it must also include clear labels for everything on its surface.

Visual components, such as charts and graphs, can help make projects more visually stimulating for audiences. Contrasting colors can also help draw their focus. With these tips in hand, students will be able to produce professional-looking and attractive science fair project displays boards.

Most science fairs and teachers often have strict regulations about what must be included on a project display board, often restricting which types of information can be presented or how that information should be organized.

A successful science fair display board should include the scientific question, hypothesis, background information, experimental setup details, results and conclusions for any experiment undertaken as well as any graphs or images supporting these findings.

A good display board should incorporate eye-catching colors and graphics that relate to the project topic, charts or diagrams presenting non-numerical data or proposing models to help explain your results, as well as an online design tool to ensure it looks neat and professional.

Once students have selected and collected materials for an experiment, it’s time to assemble a science fair display board. Creating an attractive display board can make or break a project!

Your science fair display board must be well-organized and visually appealing, including title, hypothesis, procedure and conclusions. Incorporating photos or diagrams that convey important information should also help the judges better comprehend your ideas. When using visual aids such as diagrams or photos to convey this data a summary caption must accompany these visual aids so they are easily understandable by judges.

An attention-grabbing title can pique judges’ interest and set an optimistic atmosphere for your project. Aim for creative or humorous titles; board should also be free from distracting elements such as clip art or bright colors that might distract judges.

Color can add aesthetic value and make your project stand out in a room full of other displays. Select shades that complement each other; dark ones usually look better and are easier on the eyes than brighter hues.

Take plenty of photos during your experiment to help demonstrate exactly what was done and why. Breaking up text with images makes the science fair project much simpler for judges to comprehend.

Before you use glue to put together your display board, arrange everything that you intend to include on it. Writing titles and text on pieces of paper first is far easier than directly writing them onto the board itself.

Display boards should effectively communicate an experiment’s results without needing to explain everything verbally. They should include sections for background research, experimental design, data collection, analysis and conclusion – with easily read black or dark colored text large enough for viewing from four feet away.

Certain science fair rules or teachers may impose specific requirements regarding what information should be included on a project board, but generally speaking a project should contain: title, background information, problem or question that students tried to answer with their research, hypothesis and procedure and any significant charts and graphs as well as references if necessary – although any personal details such as postal addresses, emails addresses URLs social media accounts and QR codes should not be displayed publicly on it.

Get Updates Right to Your Inbox

Privacy overview.

Sciencing_Icons_Science SCIENCE

Sciencing_icons_biology biology, sciencing_icons_cells cells, sciencing_icons_molecular molecular, sciencing_icons_microorganisms microorganisms, sciencing_icons_genetics genetics, sciencing_icons_human body human body, sciencing_icons_ecology ecology, sciencing_icons_chemistry chemistry, sciencing_icons_atomic & molecular structure atomic & molecular structure, sciencing_icons_bonds bonds, sciencing_icons_reactions reactions, sciencing_icons_stoichiometry stoichiometry, sciencing_icons_solutions solutions, sciencing_icons_acids & bases acids & bases, sciencing_icons_thermodynamics thermodynamics, sciencing_icons_organic chemistry organic chemistry, sciencing_icons_physics physics, sciencing_icons_fundamentals-physics fundamentals, sciencing_icons_electronics electronics, sciencing_icons_waves waves, sciencing_icons_energy energy, sciencing_icons_fluid fluid, sciencing_icons_astronomy astronomy, sciencing_icons_geology geology, sciencing_icons_fundamentals-geology fundamentals, sciencing_icons_minerals & rocks minerals & rocks, sciencing_icons_earth scructure earth structure, sciencing_icons_fossils fossils, sciencing_icons_natural disasters natural disasters, sciencing_icons_nature nature, sciencing_icons_ecosystems ecosystems, sciencing_icons_environment environment, sciencing_icons_insects insects, sciencing_icons_plants & mushrooms plants & mushrooms, sciencing_icons_animals animals, sciencing_icons_math math, sciencing_icons_arithmetic arithmetic, sciencing_icons_addition & subtraction addition & subtraction, sciencing_icons_multiplication & division multiplication & division, sciencing_icons_decimals decimals, sciencing_icons_fractions fractions, sciencing_icons_conversions conversions, sciencing_icons_algebra algebra, sciencing_icons_working with units working with units, sciencing_icons_equations & expressions equations & expressions, sciencing_icons_ratios & proportions ratios & proportions, sciencing_icons_inequalities inequalities, sciencing_icons_exponents & logarithms exponents & logarithms, sciencing_icons_factorization factorization, sciencing_icons_functions functions, sciencing_icons_linear equations linear equations, sciencing_icons_graphs graphs, sciencing_icons_quadratics quadratics, sciencing_icons_polynomials polynomials, sciencing_icons_geometry geometry, sciencing_icons_fundamentals-geometry fundamentals, sciencing_icons_cartesian cartesian, sciencing_icons_circles circles, sciencing_icons_solids solids, sciencing_icons_trigonometry trigonometry, sciencing_icons_probability-statistics probability & statistics, sciencing_icons_mean-median-mode mean/median/mode, sciencing_icons_independent-dependent variables independent/dependent variables, sciencing_icons_deviation deviation, sciencing_icons_correlation correlation, sciencing_icons_sampling sampling, sciencing_icons_distributions distributions, sciencing_icons_probability probability, sciencing_icons_calculus calculus, sciencing_icons_differentiation-integration differentiation/integration, sciencing_icons_application application, sciencing_icons_projects projects, sciencing_icons_news news.

  • Share Tweet Email Print
  • Home ⋅
  • Science Fair Project Ideas for Kids, Middle & High School Students ⋅

Science Projects on Hypothesis for Volcanoes

Volcanoes are popular science projects.

How to Add a Variable to a Volcano Science Project

Volcanoes have captured the imaginations of science-fair participants for generations. The fun of simulating oozing lava and creating volcanic-like explosions is undeniable. Volcanoes play an important role in the topographical and meteorological patterns of Earth’s past, present and future. The complex science of volcanoes lends itself to a variety of science-project hypotheses.

Amateur Volcanologist

Volcanologists study both active and dormant volcanoes, how they formed, and their current and historic activity. According to the University of Oregon, most of the work of the volcanologist happens in the laboratory, not at the edge of a red-hot volcano writhing with molten lava. In fact, investigating data and coming up with hypotheses is one of the most important jobs of a volcanologist.

Hazardous Volcanoes

Volcanic eruptions have many hazards, from lava flows to spewing ash. Determining where the most hazardous volcanoes are located in the world is a good project hypothesis. First, students would need to determine the main hazards of a volcano and consider factors such as human life, plant and animal life, air quality and damage to property. Data would need to be collected on volcanoes in different parts of the world and students would need to form conclusions based on the same criteria for each volcano.

Effects on Earth System

Throughout history, volcanoes have had a profound effect on Earth’s systems. Volcanoes have changed the topography of the world and even destroyed civilizations. The effects on Earth’s systems by volcanoes that are currently active are more subtle, but they can still have an impact. Choosing an active volcano and hypothesizing about its impact on the environment around it would make an interesting project. Students can consider the impact to air quality, plant life and even the weather.

Chemistry and Volcanoes

A visually pleasing volcano project involves simulating an eruption. The intensity of volcanic eruptions varies widely and students can hypothesize which type of chemical reactions could cause the biggest eruptions. For example, a project could hypothesize that yeast combined with hydrogen peroxide would create a bigger explosion than vinegar combined with baking soda. Students, with adult supervision, can mix different components to demonstrate the power of volcanic eruptions.

Related Articles

Interesting science projects, solar system science fair projects for second grade, 5th grade projects on volcanoes, high school investigatory projects, 7th-grade science fair projects with sodas, the history of volcanology, what kind of volcanoes don't erupt anymore, similarities between the different types of volcanoes, animal adaptations around volcanoes, different topics for investigatory projects, how to build a model tornado, what happens after volcanoes erupt, facts on volcanology, mauna loa facts for kids, what are the results of a volcano eruption, about minor & major landforms, what will the first cities on mars look like, plants & animals around volcanoes, ib chemistry lab ideas.

  • Glencoe-McGraw Hill: Earth Science; “Ranking Hazardous Volcanoes”

About the Author

Beth Griesmer’s writing career started at a small weekly newspaper in Georgetown, Texas, in 1990. Her work has appeared in the “Austin-American Statesman,” “Inkwell” literary magazine and on numerous websites. Griesmer teaches middle school language arts and science in Austin, Texas.

Photo Credits

NA/AbleStock.com/Getty Images

Find Your Next Great Science Fair Project! GO

StatAnalytica

120+ Exciting 5th Grade Science Project Ideas With Hypothesis In 2023

5th Grade Science Project Ideas With Hypothesis

Are you ready to embark on an exciting journey into the world of 5th-grade science projects with hypotheses? Science projects are not just about fun experiments; they also involve forming hypotheses to make educated guesses about outcomes. But what makes a good hypothesis for a science project? In this blog, we’ll explore the key components of a successful hypothesis.

Selecting the right 5th-grade science project can be a challenge, and we’ll share some valuable tips to help you choose the perfect one. We’ll dive into the importance of combining hypothesis with your science project and why it’s a vital aspect of learning and discovery.

But that’s not all! We’ve also compiled an extensive list of 120+ exciting 5th-grade science project ideas with hypothesis, providing you with a wealth of inspiration for your next scientific adventure. Stay tuned with us to unleash the world of  5th-grade science project ideas with hypothesis  and nurture your curiosity in the process.

What Is A Good Hypothesis For A Science Project?

Table of Contents

A good hypothesis for a science project is like a smart guess. It helps scientists figure out what they think will happen in their experiment. To make a good hypothesis, you need to use words like  if  and  then.  For example,  If I water the plant every day, then it will grow taller.  This shows what you’re going to do and what you expect to see.

In addition, a strong hypothesis also needs to be testable. That means you can experiment to see if it’s true or not. It’s like a detective’s clue that leads you to find the answer. Scientists use good hypotheses to guide their experiments and learn new things about the world. So, making a good hypothesis is an important part of any science project.

Things To Remember While Selecting A 5th Grade Science Project Ideas With Hypothesis

Here are some things to remember while selecting a 5th grade science project ideas with hypothesis:

1. Personal Interest

Choose a 5th-grade science project that interests you. Picking a topic you’re curious about makes the project more enjoyable. Whether it’s plants, animals, or space, your passion can make learning fun.

2. Age-Appropriate

Make sure the project is right for your grade level. A 5th-grade project shouldn’t be too simple or too complex. It should match your skills and what you’ve learned in school.

3. Available Resources

Check if you have access to the materials you need. Some projects might need special tools or expensive stuff. It’s essential to choose something you can do with the materials you have.

4. Safety First

Keep safety in mind. Select a project that’s safe to do at home or in school. Make sure you won’t be using anything harmful or dangerous.

5. Clear Instructions

Look for a project with clear instructions. It’s easier when you know what to do step by step. Projects with easy-to-follow directions help you succeed and learn better.

Developing A Hypothesis For Your Science Project

Developing a hypothesis for your science project is a crucial step. It’s like making an educated guess about what you think will happen during your experiment. Here are seven key points to consider while creating a hypothesis:

  • Identify the Variables: Determine the two things you’re testing in your experiment, the  if  and  then  parts. For example, if you’re testing plant growth, the variables could be  amount of sunlight  and  plant height. 
  • Be Specific: Make sure your hypothesis is clear and precise. Avoid vague or broad statements. The more specific, the better.
  • Predict the Outcome: Your hypothesis should state what you expect to happen. Will one variable cause a change in the other? State your prediction clearly.
  • Use  If-Then  Statements : Craft your hypothesis using  if-then  statements to show the relationship between the variables. For instance,  If the amount of sunlight increases, then the plant height will also increase. 
  • Keep It Testable: Ensure that your hypothesis is something you can test through an experiment. It should lead to concrete results that you can measure.
  • Avoid Bias: Make sure your hypothesis doesn’t show your personal beliefs. It should be based on research and evidence, not what you want to happen.
  • Revisit and Revise : As you conduct your experiment, be ready to adjust your hypothesis if the results don’t match your initial prediction. Science is all about learning and adapting.

Here we have a list of 120+ exciting 5th grade science project ideas with hypothesis in 2023: 

  • Balloon Rocket

Hypothesis –   If I inflate a balloon and release it, then it will move forward because of the escaping air. 

  • Moldy Bread

Hypothesis –  I think bread left in different conditions will develop mold at varying rates. 

  • Growing Plants 

Hypothesis –   If I give plants different amounts of water, then they will grow differently. 

  • Magnet Magic

Hypothesis –  I predict that magnets will attract some objects but not others. 

  • Lemon Battery

Hypothesis –  I believe I can create a battery using a lemon because it is acidic. 

  • Volcano Eruption

Hypothesis –   I expect that a mixture of vinegar and baking soda will create a volcanic eruption. 

  • Density of Liquids

Hypothesis –   I think different liquids have different densities, and some will float on top of others. 

  • Solar Still

Hypothesis –   I predict that a solar still can collect clean water from dirty water through evaporation. 

  • Bouncing Balls

Hypothesis –   I believe that balls made from different materials will bounce to different heights. 

  • Static Electricity

Hypothesis –   I think rubbing a balloon on my hair will create static electricity that attracts objects. 

  • Fruit Battery

Hypothesis –  I expect that fruits like oranges and lemons can power a small light bulb. 

  • Color-Changing Milk

Hypothesis –  I predict that adding soap to milk with food coloring will make colorful patterns. 

  • Tornado in a Bottle

 Hypothesis –   I think that by swirling water and dish soap in a bottle, I can create a tornado-like vortex. 

  • Water Filtration

Hypothesis –   I believe that by using sand and gravel, I can filter impurities from water. 

  • Rust Formation

Hypothesis –  I predict that metal objects left in water will rust over time. 

  • Candy Dissolving

Hypothesis –  I think that different candies will dissolve at different rates in water. 

  • Seed Germination

Hypothesis –  If I plant seeds in various conditions, then they will sprout at different rates. 

Hypothesis –  I expect that by using a simple rain gauge, I can measure rainfall accurately. 

  • Sound Vibrations

Hypothesis –   I believe that different objects will produce different sounds when struck. 

  • Egg Drop Challenge

Hypothesis –   I predict that if I design a protective container, the egg will survive a fall. 

  • Paper Airplanes

Hypothesis –   I think that altering the shape of paper airplanes will affect their flight distance. 

  • Food Preservation

 Hypothesis –   I expect that different methods of food preservation will keep food fresh longer. 

  • Homemade Slime

Hypothesis –  I believe that mixing glue and borax will create a slimy substance. 

Hypothesis –   I predict that combining oil and water with Alka-Seltzer will create a mesmerizing lava lamp effect. 

  • Air Pressure

Hypothesis –   I think air pressure can be measured with a simple barometer. 

  • Crystal Growth

Hypothesis –  I expect that I can grow crystals by dissolving substances in water. 

  • Ocean Currents

Hypothesis –   I predict that hot water and cold water will create ocean currents in a container. 

  • Rainbow in a Jar

Hypothesis –   I believe I can create a rainbow by layering different liquids with different densities. 

  • Static Electricity Levitation

Hypothesis –  I think that static electricity can make a small object levitate. 

  • Melting Ice

Hypothesis –   I predict that adding salt to ice will cause it to melt faster. 

  • Potato Battery

Hypothesis –   I expect that a potato can conduct electricity and power a small device. 

  • Pendulum Swing

Hypothesis –   I believe that the length of a pendulum will affect its swing time. 

  • Soda Geyser

Hypothesis –   I predict that dropping Mentos candies into soda will create a geyser. 

  • Chromatography

Hypothesis –  I think I can separate the colors in markers using chromatography. 

  • Heat Transfer

Hypothesis –  I expect that different materials will transfer heat at varying rates. 

  • Rainfall and Runoff

Hypothesis –   I predict that if I simulate rainfall on different surfaces, some will produce more runoff. 

  • Fizzy Lemonade

Hypothesis –   I believe that combining lemon juice and baking soda will make lemonade fizzier. 

  • Rock Identification

Hypothesis –  I think I can identify different rocks by their characteristics. 

Hypothesis –  I predict that by cutting a straw, I can make it produce musical sounds like an oboe. 

  • Taste Perception

Hypothesis –   I expect that people’s taste perception may change when their sense of smell is altered. 

  • Color-Changing Flowers

Hypothesis –   I believe that adding food coloring to water will change the color of white flowers. 

  • Solar Cooker

Hypothesis –   I predict that a solar cooker can cook food using only the sun’s energy. 

  • Tornado Formation

Hypothesis –  I think that rotating two bottles will create a tornado effect. 

  • Vinegar and Baking Soda Rocket

Hypothesis –  I expect that mixing vinegar and baking soda in a bottle will launch it into the air. 

  • Popsicle Stick Bridge

Hypothesis –  I predict that I can build a strong bridge using only popsicle sticks and glue. 

  • Rainfall Patterns

Hypothesis –  I believe that rainfall patterns can be different in various parts of the world. 

  • Chemical Reactions

Hypothesis –  I think mixing certain chemicals will result in a visible reaction. 

  • Fruit Decomposition

Hypothesis –   I predict that different fruits will decompose at different rates. 

  • Balancing Act

Hypothesis –  I expect that I can balance various objects on a pivot point. 

  • Photosynthesis Simulation

Hypothesis –   I believe that using a simple setup, I can show how plants perform photosynthesis. 

  • Sinking and Floating

Hypothesis –  I think that objects with different densities will either sink or float in water. 

  • Tooth Decay

Hypothesis –  I predict that different liquids will affect teeth differently, simulating tooth decay. 

  • Rainwater Collection

Hypothesis –   I expect that by using a funnel, I can collect rainwater efficiently. 

  • Soundproofing

Hypothesis –  I think that different materials will block sound to varying degrees. 

  • Egg in a Bottle

Hypothesis –   I predict that I can place a peeled hard-boiled egg into a bottle without breaking it.  

  • Water Wheel

Hypothesis –   I believe that the flow of water can make a small wheel turn.  

  • Invisible Ink

Hypothesis –   I expect that I can create invisible ink that reveals messages under certain conditions.  

  •  Heat from the Sun

Hypothesis –   I predict that a dark-colored object will get hotter in the sun than a light-colored one.  

  • Layered Liquids

Hypothesis –   I think that liquids of different densities will form layers when mixed.  

  • Candle Burning

Hypothesis –   I predict that different types of candles will burn at different rates.  

  • Buoyancy with Clay Boats

Hypothesis –   I believe I can make clay boats that float and carry small loads.  

Hypothesis –   I expect that a mixture of cornstarch and water will behave strangely, like a liquid and a solid.  

  • Magnetic Slime

Hypothesis –   I predict that adding iron filings to slime will make it magnetic.  

  • Stalactites and Stalagmites

Hypothesis –   I think I can grow stalactites and stalagmites using a simple solution.  

Hypothesis –   I expect that different substances will have varying pH levels, which can be tested with indicator paper.  

  • Solar Still for Drinking Water

Hypothesis –   I believe that a solar still can produce clean drinking water from saltwater.  

Hypothesis –   I predict that I can create a sundial that tells time using the sun’s shadow.  

  • Dissolving Sugar

Hypothesis –   I expect that sugar will dissolve faster in hot water than in cold water.  

  • Balloon Inflator

Hypothesis –   I think that a chemical reaction in a bottle can inflate a balloon.  

  • Baking Soda and Vinegar Boat

Hypothesis –   I predict that a boat made from materials like baking soda and vinegar will move.  

  • Oil Spill Cleanup

Hypothesis –   I believe that using different materials can help clean up an oil spill in water.  

  • Seed Dispersal

Hypothesis –   I predict that seeds can be dispersed in various ways, such as by wind or animals.  

  • Lemonade Sweetness

Hypothesis –   I expect that lemonade sweetness can be adjusted by adding sugar in different amounts.  

  • Density of Solids

Hypothesis –   I think different solid objects will have different densities, which can be measured.  

  • Making Ice Cream

Hypothesis –   I predict that I can make ice cream by mxing ingredients and using ice and salt.  

  • Conduction and Insulation

Hypothesis –   I believe that different materials will either conduct or insulate heat.  

  • Centrifugal Force

Hypothesis –   I predict that spinning an object will create a centrifugal force that affects its path.  

  • Balloon-Powered Car

Hypothesis –   I expect that a car powered by a balloon will move because of the escaping air.  

  • Candle Extinguisher

Hypothesis –   I think that covering a candle with a glass will extinguish it by using up the oxygen inside.  

  • Water Filter Comparison

Hypothesis –   I predict that different water filters will remove impurities to varying degrees.  

  • Capillary Action

Hypothesis –   I expect that water will rise differently in materials with varying capillary action.  

  • Static Electricity and Salt

Hypothesis –   I believe that salt can be moved with static electricity.  

  • Food Coloring in Flowers

Hypothesis –   I predict that adding food coloring to water will change the color of flowers.  

  • Bottle Trombone

Hypothesis –   I think I can make a simple trombone-like instrument using a plastic bottle.  

  • Windmill Power

Hypothesis –   I expect that a windmill can generate power when exposed to wind.  

  • Chewing Gum Flavor

Hypothesis –   I predict that the flavor of chewing gum changes over time as it’s chewed.  

  • Yeast Balloons

Hypothesis –   I believe that yeast will produce gas that can inflate a balloon.  

  • Water Wheel Efficiency

Hypothesis –   I think that the design of a water wheel affects its efficiency in generating power.  

  • Simple Electric Circuit

Hypothesis –   I expect that I can make a light bulb glow by completing an electric circuit.  

  • Sugar Crystal Lollipop

Hypothesis –   I predict that sugar crystals will grow on a string dipped in a sugary solution.  

  • Temperature and Magnetism

Hypothesis –   I believe that magnets will behave differently at various temperatures.  

  • Styrofoam and Acetone

Hypothesis –   I expect that acetone will dissolve styrofoam.  

  • Starch in Foods

Hypothesis –   I think I can test for the presence of starch in different foods using iodine.  

  • Balloon-Powered Boat

Hypothesis –   I predict that a boat powered by a balloon will move on water.  

  • Melting Chocolate

Hypothesis –   I expect that chocolate will melt at different rates when heated.  

  • Air Pollution and Plant Growth

Hypothesis –   I believe that exposing plants to air pollution will affect their growth.  

  • Simple Motor

Hypothesis –   I predict that I can build a simple motor that turns when an electric current flows through it.  

  • Lemon Battery Voltage

Hypothesis –   I expect that different fruits will produce varying amounts of electricity when used as batteries.  

  • Fireworks in a Jar

Hypothesis –   I think that mixing oil and colored water will create a fireworks-like display in a jar.  

  • Bending Water with Static Electricity

Hypothesis –   I predict that static electricity can bend a stream of water from a faucet.  

  • Soda Can Fizz

Hypothesis –   I expect that dropping a mentos candy into a soda can will cause fizzing.  

  • Tornado Tube

Hypothesis –   I believe that connecting two plastic bottles with a tornado tube will create a vortex.  

  • Magnetic Attraction and Distance

Hypothesis –   I predict that magnets will attract objects from varying distances.  

  • Heat Absorption by Colors

Hypothesis –   I think that objects of different colors will absorb heat differently under sunlight.  

  • Lemon Battery Power

Hypothesis –   I expect that a lemon battery can power a small LED light.  

  • Strawberry DNA Extraction

Hypothesis –   I believe I can extract DNA from strawberries using common household items.  

  • Marshmallow Density

Hypothesis –   I predict that marshmallows of different shapes and sizes have different densities.  

  • Balloon-Powered Windmill

Hypothesis –   I think a windmill with balloons will turn when exposed to air.  

  • Spinning Colors

Hypothesis –   I expect that spinning a color wheel will create the illusion of blending colors.  

  • Sound and Vibration

Hypothesis –   I predict that different objects will create different sounds when struck and vibrate differently.  

  • Rock Erosion

Hypothesis –   I believe that different rocks will erode at varying rates when exposed to water.  

  • Air Pressure and Crushed Can

Hypothesis –   I expect that changing air pressure will crush an empty can.  

  • Straw Flute

Hypothesis –   I think that cutting and blowing through a straw can produce musical notes.  

  • Bottle Rocket

Hypothesis –   I predict that a bottle rocket filled with water and pressurized air will launch into the air.  

  • Fruit Electricity

Hypothesis –   I believe that different fruits can produce electricity using simple circuits.  

  • Melting Snow and Ice

Hypothesis –   I expect that different substances can help melt snow and ice at varying rates.  

  • Plant Growth in Different Soils

Hypothesis –   I think that different soils will affect the growth of plants differently.  

  • Static Electricity and Salt and Pepper

Hypothesis –   I predict that salt and pepper can be moved with static electricity.  

  • Floating Paperclip

Hypothesis –   I expect that surface tension can make a paperclip float on water.  

  • Crayon Melt Art

Hypothesis –   I believe that crayons will melt and create art when heated.  

  • Balloon-Powered Hovercraft

Hypothesis –   I predict that a hovercraft powered by balloons will glide over a smooth surface.  

  • Research Topics For Commerce Students
  • Maths Project Ideas For College Students

Importance Of 5th Grade Science Project Ideas With Hypothesis For Students 

In this section, we will discuss the importance of 5th grade science project ideas with hypothesis for students: 

1. Hands-On Learning

5th-grade science projects with hypotheses offer students a chance to learn through doing. They get to experiment, make predictions, and see the real-world results. This hands-on approach helps students grasp scientific concepts better.

2. Critical Thinking

These projects encourage critical thinking. Students have to come up with educated guesses (hypotheses) and then analyze their experiments’ outcomes. It teaches them to think logically and solve problems.

3. Curiosity and Exploration

Science projects fuel curiosity. They allow students to explore topics they find interesting, making learning more engaging. This curiosity can spark a lifelong interest in science.

4. Application of Knowledge

The things that students have learned in school can be used in real life. It helps them understand that science is not just in books, but all around them. This makes their education more useful.

5. Confidence Building

Successfully completing a science project with a hypothesis can boost a student’s confidence. They see that they can tackle challenging tasks and find solutions. This confidence can extend to other areas of their education and life.

Understanding what makes a good hypothesis is the first step in any 5th-grade science project with a hypothesis. It’s all about making educated guesses and having clear  if-then  statements. Remember to choose a project that matches your interest, is safe, and fits your grade level. With over 120 exciting 5th-grade science project ideas with hypothesis, you have a world of possibilities to explore. 

Moreover, these projects offer hands-on learning, boost critical thinking, and ignite curiosity. They let you apply what you’ve learned in school to real life. Completing these projects can build your confidence, showing that you can tackle challenges and make discoveries. So, dive into the world of 5th-grade science project ideas with hypothesis and start your exciting scientific journey!

Related Posts

best way to finance car

Step by Step Guide on The Best Way to Finance Car

how to get fund for business

The Best Way on How to Get Fund For Business to Grow it Efficiently

Information

  • Author Services

Initiatives

You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader.

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess .

Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.

Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.

Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.

Original Submission Date Received: .

  • Active Journals
  • Find a Journal
  • Proceedings Series
  • For Authors
  • For Reviewers
  • For Editors
  • For Librarians
  • For Publishers
  • For Societies
  • For Conference Organizers
  • Open Access Policy
  • Institutional Open Access Program
  • Special Issues Guidelines
  • Editorial Process
  • Research and Publication Ethics
  • Article Processing Charges
  • Testimonials
  • Preprints.org
  • SciProfiles
  • Encyclopedia

jcm-logo

Article Menu

good hypothesis for science fair

  • Subscribe SciFeed
  • Google Scholar
  • on Google Scholar
  • Table of Contents

Find support for a specific problem in the support section of our website.

Please let us know what you think of our products and services.

Visit our dedicated information section to learn more about MDPI.

JSmol Viewer

Doctor, when should i start walking revisiting postoperative rehabilitation and weight-bearing protocols in operatively treated acetabular fractures: a systematic review and meta-analysis.

good hypothesis for science fair

1. Introduction

2. materials and methods, 2.1. search strategy, 2.2. study selection, 2.3. data extraction and outcome measures, 2.4. assessment of the risk of bias, 2.5. statistical analysis, 3.1. selection of studies, 3.2. characteristics of the studies, 3.3. sample demographics, 3.4. perioperative parameters and form of treatment, 3.5. quality of reduction, 3.6. postoperative rehabilitation protocol, 3.7. outcome measurements and complications, 3.8. meta-analytic regression, 4. discussion, 5. conclusions, author contributions, institutional review board statement, informed consent statement, data availability statement, acknowledgments, conflicts of interest.

  • Giordano, V.; Pecegueiro do Amaral, N.; Franklin, C.E.; Pallottino, A.; Pires E Albuquerque, R.; Giordano, M. Functional outcome after operative treatment of displaced fractures of the acetabulum: A 12-month to 5-year follow-up investigation. Eur. J. Trauma Emerg. Surg. 2007 , 33 , 520–527. [ Google Scholar ] [ CrossRef ]
  • Ziran, N.; Soles, G.L.S.; Matta, J.M. Outcomes after surgical treatment of acetabular fractures: A review. Patient Saf. Surg. 2019 , 13 , 16. [ Google Scholar ] [ CrossRef ]
  • Giannoudis, P.V.; Grotz, M.R.; Papakostidis, C.; Dinopoulos, H. Operative treatment of displaced fractures of the acetabulum. A meta-analysis. J. Bone Jt. Surg. Br. 2005 , 87 , 2–9. [ Google Scholar ] [ CrossRef ]
  • Tannast, M.; Najibi, S.; Matta, J.M. Two to twenty-year survivorship of the hip in 810 patients with operatively treated acetabular fractures. J. Bone Jt. Surg. Am. 2012 , 94 , 1559–1567. [ Google Scholar ] [ CrossRef ]
  • Kelly, J.; Ladurner, A.; Rickman, M. Surgical management of acetabular fractures—A contemporary literature review. Injury 2020 , 51 , 2267–2277. [ Google Scholar ] [ CrossRef ] [ PubMed ]
  • Fairhall, N.J.; Dyer, S.M.; Mak, J.C.; Diong, J.; Kwok, W.S.; Sherrington, C. Interventions for improving mobility after hip fracture surgery in adults. Cochrane Database Syst. Rev. 2022 , 9 , CD001704. [ Google Scholar ] [ CrossRef ] [ PubMed ]
  • Fernandes, J.B.; Ferreira, N.; Domingos, J.; Ferreira, R.; Amador, C.; Pardal, N.; Castro, C.; Simões, A.; Fernandes, S.; Bernardes, C.; et al. Health professionals’ motivational strategies to enhance adherence in the rehabilitation of people with lower limb fractures: Scoping review. Int. J. Environ. Res. Public Health 2023 , 20 , 7050. [ Google Scholar ] [ CrossRef ]
  • Asplin, G.; Carlsson, G.; Zidén, L.; Kjellby-Wendt, G. Early coordinated rehabilitation in acute phase after hip fracture—A model for increased patient participation. BMC Geriatr. 2017 , 17 , 240. [ Google Scholar ] [ CrossRef ] [ PubMed ]
  • Chudyk, A.M.; Jutai, J.W.; Petrella, R.J.; Speechley, M. Systematic review of hip fracture rehabilitation practices in the elderly. Arch. Phys. Med. Rehabil. 2009 , 90 , 246–262. [ Google Scholar ] [ CrossRef ]
  • Lee, K.J.; Um, S.H.; Kim, Y.H. Postoperative rehabilitation after hip fracture: A literature review. Hip Pelvis 2020 , 32 , 125–131. [ Google Scholar ] [ CrossRef ]
  • Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021 , 372 , n71. [ Google Scholar ] [ CrossRef ]
  • Slim, K.; Nini, E.; Forestier, D.; Kwiatkowski, F.; Panis, Y.; Chipponi, J. Methodological index for non-randomized studies (minors): Development and validation of a new instrument. ANZ J. Surg. 2003 , 73 , 712–716. [ Google Scholar ] [ CrossRef ]
  • Judet, R.; Judet, J.; Letournel, E. Fractures of the acetabulum: Classification and surgical approaches for open reduction. Preliminary report. J. Bone Jt. Surg. Am. 1964 , 46 , 1615–1646. [ Google Scholar ] [ CrossRef ]
  • Letournel, E. Acetabulum fractures: Classification and management. J. Orthop. Trauma 2019 , 33 (Suppl. S2), S1–S2. [ Google Scholar ] [ CrossRef ]
  • Wright, J.G.; Swiontkowski, M.F.; Heckman, J.D. Introducing levels of evidence to the journal. J. Bone Jt. Surg. Am. 2003 , 85 , 1–3. [ Google Scholar ] [ CrossRef ]
  • McGuinness, L.A.; Higgins, J.P.T. Risk-of-bias VISualization (robvis): An R package and Shiny web app for visualizing risk-of-bias assessments. Res. Synth. Methods 2021 , 12 , 55–61. [ Google Scholar ] [ CrossRef ]
  • Chen, K.; Ji, Y.; Huang, Z.; Navinduth, R.; Yang, F.; Sun, T.; Xiong, Z.; Yao, S.; Ahn, J.; Guo, X. Single modified ilioinguinal approach for the treatment of acetabular fractures involving both columns. J. Orthop. Trauma 2018 , 32 , e428-34. [ Google Scholar ] [ CrossRef ]
  • Elmadağ, M.; Güzel, Y.; Acar, M.A.; Uzer, G.; Arazi, M. The Stoppa approach versus the ilioinguinal approach for anterior acetabular fractures: A case control study assessing blood loss complications and function outcomes. Orthop. Traumatol. Surg. Res. 2014 , 100 , 675–680. [ Google Scholar ] [ CrossRef ]
  • Elmadağ, M.; Guzel, Y.; Aksoy, Y.; Arazi, M. Surgical treatment of displaced acetabular fractures using a modified Stoppa approach. Orthopedics 2016 , 39 , e340–e345. [ Google Scholar ] [ CrossRef ]
  • Fahmy, M.; Abdel Karim, M.; Khaled, S.A.; Khaled, S.A.; Abdelazeem, A.H.; Elnahal, W.A.; Elnahal, A. Single versus double column fixation in transverse fractures of the acetabulum: A randomised controlled trial. Injury 2018 , 49 , 1291–1296. [ Google Scholar ] [ CrossRef ]
  • Fan, S.; Mai, Q.; Li, T.; Wang, H.; Yang, C.; Huang, H.; Liao, J.; Zhang, Y. Design and application of an acetabular integrative anatomic plate: A retrospective study of 178 cases with complex acetabular fractures. Orthop. Surg. 2023 , 15 , 2523–2531. [ Google Scholar ]
  • Gupta, S.; Singh, J.; Virk, J.S. The role of trochanteric flip osteotomy in fixation of certain acetabular fractures. Chin. J. Traumatol. 2017 , 20 , 161–165. [ Google Scholar ] [ CrossRef ]
  • Hammad, A.S.; El-Khadrawe, T.A.; Waly, A.H.; Abu-Sheasha, G.A. The efficacy of posterior plating and anterior column screw fixation in the management of T-shaped acetabular fractures—CART analysis of prospective cohort study. Injury 2017 , 48 , 680–686. [ Google Scholar ] [ CrossRef ]
  • Hue, A.G.; Gauthé, R.; Tobenas-Dujardin, A.C.; Vallée, A.; Mouton, J.; Dujardin, F. Complex fractures of the acetabulum: Should the enlarged iliofemoral approach be abandoned? Results at 20 years’ follow-up. Orthop. Traumatol. Surg. Res. 2018 , 104 , 465–468. [ Google Scholar ] [ CrossRef ]
  • Karim, M.A.; Abdelazeem, A.H.; Youness, M.; El Nahal, W.A. Fixation of quadrilateral plate fractures of the acetabulum using the buttress screw: A novel technique. Injury 2017 , 48 , 1813–1818. [ Google Scholar ] [ CrossRef ]
  • Kizkapan, T.B.; Misir, A.; Uzun, E.; Ozcamdalli, M.; Yurdakul, E.; Argun, M. Comparison of acetabulum posterior wall fractures and fracture dislocations: Dislocation does not affect clinical and radiological outcomes. Acta Orthop. Belg. 2018 , 84 , 117–120. [ Google Scholar ]
  • Kojima, K.E.; Munari, B.M.; Kubota, B.S.; Zanesco, L.; Proença, D.S.; Leonhardt, M.C.; Silva, J.D.S. Radiographic evaluation of immediate loading safety after surgical reduction in acetabular fractures: A comparative-retrospective study. Acta Ortop. Bras. 2022 , 30 , e256907. [ Google Scholar ] [ CrossRef ]
  • Li, H.; Yang, H.; Wang, D.; Xu, Y.; Min, J.; Xu, X.; Li, Z.; Yuan, Y. Fractures of the posterior wall of the acetabulum: Treatment using internal fixation of two parallel reconstruction plates. Injury 2014 , 45 , 709–714. [ Google Scholar ] [ CrossRef ]
  • Li, Y.L.; Tang, Y.Y. Displaced acetabular fractures in the elderly: Results after open reduction and internal fixation. Injury 2014 , 45 , 1908–1913. [ Google Scholar ] [ CrossRef ]
  • Li, Z.; Li, J.; Li, Z.; Nie, S.; Zhang, H.; Li, M.; Liu, J.; Liu, Z.; Xu, G.; Zhang, L.; et al. Comparative study of anatomical locking plate and reconstruction plate in treating acetabular fractures. Int. Orthop. 2021 , 45 , 2727–2734. [ Google Scholar ] [ CrossRef ]
  • Magu, N.K.; Gogna, P.; Singh, A.; Singla, R.; Rohilla, R.; Batra, A.; Mukhopadhyay, R. Long term results after surgical management of posterior wall acetabular fractures. J. Orthop. Traumatol. 2014 , 15 , 173–179. [ Google Scholar ] [ CrossRef ]
  • Maini, L.; Batra, S.; Arora, S.; Singh, S.; Kumar, S.; Gautam, V.K. Surgical dislocation of the hip for reduction of acetabular fracture and evaluation of chondral damage. J. Orthop. Surg. 2014 , 22 , 18–23. [ Google Scholar ] [ CrossRef ]
  • Park, K.S.; Chan, C.K.; Lee, G.W.; Ahn, H.W.; Yoon, T.R. Outcome of alternative approach to displaced acetabular fractures. Injury 2017 , 48 , 388–393. [ Google Scholar ] [ CrossRef ]
  • Patil, A.; Attarde, D.S.; Haphiz, A.; Sancheti, P.; Shyam, A. A single approach for management of fractures involving both columns of the acetabulum: A case series of 23 patients. Strateg. Trauma Limb Reconstr. 2021 , 16 , 152–160. [ Google Scholar ] [ CrossRef ]
  • Schwabe, P.; Altintas, B.; Schaser, K.D.; Druschel, C.; Kleber, C.; Haas, N.P.; Maerdian, S. Three-dimensional fluoroscopy-navigated percutaneous screw fixation of acetabular fractures. J. Orthop. Trauma 2014 , 28 , 700–706, discussion 706. [ Google Scholar ] [ CrossRef ]
  • Selek, O.; Tosun, B.; Sarlak, A.Y. A new method for reduction quality assessment in acetabular fractures: Acetabular congruency measurement. Hip Int. 2021 , 31 , 435–439. [ Google Scholar ] [ CrossRef ]
  • Uchida, K.; Kokubo, Y.; Yayama, T.; Nakajima, H.; Miyazaki, T.; Negoro, K.; Takeno, K.; Sawaguchi, T.; Watanabe, S.; Sugita, D.; et al. Fracture of the acetabulum: A retrospective review of ninety-one patients treated at a single institution. Eur. J. Orthop. Surg. Traumatol. 2013 , 23 , 155–163. [ Google Scholar ] [ CrossRef ]
  • Yang, Y.; Sun, J.; Xiang, Z. The short- and mid-term follow-up of single-column fixation in transverse and posterior wall acetabular fractures. Orthop. Surg. 2022 , 14 , 65–72. [ Google Scholar ]
  • Matta, J.M. Fractures of the acetabulum: Accuracy of reduction and clinical results in patients managed operatively within three weeks after the injury. J. Bone Jt. Surg. Am. 1996 , 78 , 1632–1645. [ Google Scholar ] [ CrossRef ]
  • Matta, J.M.; Mehne, D.K.; Rom, R. Fractures of the acetabulum: Early results of a prospective study. Clin. Orthop. Relat. Res. 1986 , 205 , 241–250. [ Google Scholar ] [ CrossRef ]
  • Haller, J.M.; Potter, M.Q.; Kubiak, E.N. Weight bearing after a periarticular fracture: What is the evidence? Orthop. Clin. N. Am. 2013 , 44 , 509–519. [ Google Scholar ] [ CrossRef ]
  • Braun, B.J.; Histing, T.; Rollmann, M.F.R.; Menger, M.M.; Osche, D.; Orth, M.; Pohlemann, T.; Herath, S.C. Weight-bearing restrictions after acetabular fracture, necessity or false hope? A brief observational study. Acta Chir. Orthop. Traumatol. Cechoslov. 2022 , 89 , 146–149. [ Google Scholar ] [ CrossRef ] [ PubMed ]
  • Murena, L.; Canton, G.; Hoxhaj, B.; Sborgia, A.; Fattori, R.; Gulli, S.; Vaienti, E. Early weight bearing in acetabular and pelvic fractures. Acta Biomed. 2021 , 92 , e2021236. [ Google Scholar ] [ CrossRef ]
  • Heare, A.; Kramer, N.; Salib, C.; Mauffrey, C. Early versus late weight-bearing protocols for surgically managed posterior wall acetabular fractures. Orthopedics 2017 , 40 , e652–e657. [ Google Scholar ] [ CrossRef ]
  • Yoshida, H.; Faust, A.; Wilckens, J.; Kitagawa, M.; Fetto, J.; Chao, E.Y. Three-dimensional dynamic hip contact area and pressure distribution during activities of daily living. J. Biomech. 2006 , 39 , 1996–2004. [ Google Scholar ] [ CrossRef ]
  • Bergmann, G.; Deuretzbacher, G.; Heller, M.; Graichen, F.; Rohlmann, A.; Strauss, J.; Duda, G.N. Hip contact forces and gait patterns from routine activities. J. Biomech. 2001 , 34 , 859–871. [ Google Scholar ] [ CrossRef ]
  • Long, H.T.; Deng, Z.H.; Zou, M.; Lin, Z.Y.; Zhu, J.X.; Zhu, Y. Effects of the acetabular fracture index and other factors of posterior wall acetabular fracture on functional outcome. J. Int. Med. Res. 2017 , 45 , 1394–1405. [ Google Scholar ] [ CrossRef ]
  • Kazemi, N.; Archdeacon, M.T. Immediate full weight bearing after percutaneous fixation of anterior column acetabulum fractures. J. Orthop. Trauma 2012 , 26 , 73–79. [ Google Scholar ] [ CrossRef ]
  • Black, J.D.; Bhavikatti, M.; Al-Hadithy, N.; Hakmi, A.; Kitson, J. Early weight-bearing in operatively fixed ankle fractures: A systematic review. Foot (Edinb) 2013 , 23 , 78–85. [ Google Scholar ] [ CrossRef ] [ PubMed ]
  • Bouman, A.I.; Hemmen, B.; Evers, S.M.; van de Meent, H.; Ambergen, T.; Vos, P.E.; Brink, P.R.; Seelen, H.A. Effects of an integrated ‘Fast Track’ rehabilitation service for multi-trauma patients: A non-randomized clinical trial in the Netherlands. PLoS ONE 2017 , 12 , e0170047. [ Google Scholar ] [ CrossRef ] [ PubMed ]
  • Heiman, E.; Menken, L.G.; Tang, A.; Vialonga, M.; Jankowski, J.M.; Liporace, F.A.; Yoon, R.S. Early versus standard weight bearing following operative treatment of tibial plateau fractures: Do we really have to wait so long? J. Knee Surg. 2024 , 37 , 402–408. [ Google Scholar ] [ CrossRef ] [ PubMed ]
  • Iliopoulos, E.; Galanis, N. Physiotherapy after tibial plateau fracture fixation: A systematic review of the literature. SAGE Open Med. 2020 , 8 , 2050312120965316. [ Google Scholar ] [ CrossRef ] [ PubMed ]
  • Chiodo, C.P.; Macaulay, A.A.; Palms, D.A.; Smith, J.T.; Bluman, E.M. Patient compliance with postoperative lower-extremity non-weight-bearing restrictions. J. Bone Jt. Surg. Am. 2016 , 98 , 1563–1567. [ Google Scholar ] [ CrossRef ] [ PubMed ]
  • Kalmet, P.; Maduro, C.; Verstappen, C.; Meys, G.; van Horn, Y.; van Vugt, R.; Janzing, H.; van der Veen, A.; Jaspars, C.; Sintenie, J.B.; et al. Effectiveness of permissive weight bearing in surgically treated trauma patients with peri- and intra-articular fractures of the lower extremities: A prospective comparative multicenter cohort study. Eur. J. Orthop. Surg. Traumatol. 2024 , 34 , 1363–1371. [ Google Scholar ] [ CrossRef ] [ PubMed ]
  • Bo, A.P.L.; Casas, L.; Cucho-Padin, G.; Hayashibe, m.; Elias, D. Control strategies for gait tele-rehabilitation system based on parallel robotics. Appl. Sci. 2021 , 11 , 11095. [ Google Scholar ] [ CrossRef ]
  • Ciobanu, I.; Stanculescu, D.I.; Iliescu, A.; Popescu, A.M.; Seiciu, P.L.; Mikolajczyk, T.; Moldovan, F.; Berteanu, M. The usability pilot study of a mechatronic system for gait rehabilitation. Procedia Manuf. 2018 , 22 , 864–871. [ Google Scholar ] [ CrossRef ]
  • Yiou, E.; Caderby, T.; Delafontaine, A.; Fourcade, P.; Honeine, J.L. Balance control during gait initiation: State-of-the-art and research perspectives. World J. Orthop. 2017 , 8 , 815–828. [ Google Scholar ] [ CrossRef ] [ PubMed ]
  • Andrzejowski, P.; Holch, P.; Giannoudis, P.V. Measuring functional outcomes in major trauma: Can we do better? Eur. J. Trauma Emerg. Surg. 2022 , 48 , 1683–1698. [ Google Scholar ] [ CrossRef ]
  • Jayakumar, P.; Heng, M.; Okelana, B.; Vrahas, M.; Rodriguez-Villalon, A.; Joeris, A. Patient-reported outcome measurement in orthopaedic trauma. J. Am. Acad. Orthop. Surg. 2023 , 31 , e906–e919. [ Google Scholar ] [ CrossRef ]
  • Joeris, A.; Knoll, C.; Kalampoki, V.; Blumenthal, A.; Gaskell, G. Patient-reported outcome measurements in clinical routine of trauma, spine and craniomaxillofacial surgeons: Between expectations and reality: A survey among 1212 surgeons. BMJ Open 2018 , 8 , e020629. [ Google Scholar ] [ CrossRef ]
  • Smerina, M.; Dumitrascu, A.G.; Spaulding, A.C.; Manz, J.W.; Chirila, R.M. Expanding the role of the surgical preoperative evaluation clinic: Impact on risk and quality outcome measures. Mayo Clin. Proc. Innov. Qual. Outcomes 2023 , 7 , 462–469. [ Google Scholar ] [ CrossRef ] [ PubMed ]

Click here to enlarge figure

Author(s)JournalYear PublishedGrade of Recommendation/Level of EvidenceMethodological Index for Non-Randomized Studies (MINORS) Criteria
Fan, S. et al. [ ]Orthop Surg2023B/2b (individual cohort study or low-quality randomized control studies)12 (non-comparative study)
Kojima, K.E. et al. [ ]Acta Ortop Bras2022C/4 (case series, low-quality cohort, or case-control studies)20 (comparative study)
Yang, Y. et al. [ ]Orthop Surg2022C/4 (case series, low-quality cohort, or case-control studies)12 (non-comparative study)
Patil, A. et al. [ ]Strategies Trauma Limb Reconstr2021C/4 (case series, low-quality cohort, or case-control studies)12 (non-comparative study)
Li, Z. et al. [ ]Int Orthop2021C/4 (case series, low-quality cohort, or case-control studies)21 (comparative study)
Selek, O. et al. [ ]HIP International2019C/4 (case series, low-quality cohort, or case-control studies)13 (non-comparative study)
Chen, K. et al. [ ]J Orthop Trauma2018C/4 (case series, low-quality cohort, or case-control studies)12 (non-comparative study)
Hue, A.G. et al. [ ]Orthop Traumatol Surg Res2018C/4 (case series, low-quality cohort, or case-control studies)10 (non-comparative study)
Fahmy, M. et al. [ ]Injury2018B/2b (individual cohort study or low-quality randomized control studies)15 (non-comparative study)
Kizkapan, T.B. et al. [ ]Acta Orthop Belg2018C/4 (case series, low-quality cohort, or case-control studies)19 (comparative study)
Karin, M.A. et al. [ ]Injury2017C/4 (case series, low-quality cohort, or case-control studies)13 (non-comparative study)
Gupta, S. et al. [ ]Chin J Traumatol2017C/4 (case series, low-quality cohort, or case-control studies)11 (non-comparative study)
Hammad, A.S. et al. [ ]Injury2017B/2b (individual cohort study or low-quality randomized control studies)13 (non-comparative study)
Park, K.S. et al. [ ]Injury2017C/4 (case series, low-quality cohort, or case-control studies)13 (non-comparative study)
Elmadağ, M. et al. [ ]Orthopedics2016C/4 (case series, low-quality cohort, or case-control studies)15 (non-comparative study)
Li, Y.L. and Tang, Y.Y. [ ]Injury2014C/4 (case series, low-quality cohort, or case-control studies)15 (non-comparative study)
Magu, N.K. et al. [ ]J Orthop Traumatol2014C/4 (case series, low-quality cohort, or case-control studies)13 (non-comparative study)
Elmadağ, M. et al. [ ]Orthop Traumatol Surg Res2014C/4 (case series, low-quality cohort, or case-control studies)18 (comparative study)
Maini, L. et al. [ ]J Orthop Surg2014C/4 (case series, low-quality cohort, or case-control studies)9 (non-comparative study)
Schwabe, P. et al. [ ]J Orthop Trauma2014C/4 (case series, low-quality cohort, or case-control studies)15 (non-comparative study)
Li, H. et al. [ ]Injury2013C/4 (case series, low-quality cohort, or case-control studies)13 (non-comparative study)
Uchida, K. et al. [ ]Eur J Orthop Surg Traumatol2013C/4 (case series, low-quality cohort, or case-control studies)15 (non-comparative study)
Parameter
Male:female ratio *721:207 (77.6%:22.3%)p = 0.0005
Average age ± SD **42.8 ± 10.9 years
Letournel classification ***401 elementary fractures
614 associated fractures
p = 0.21
Associated injuries236 skeletal injuries
32 non-skeletal (excluding neurological) injuries
11 peripheral nerve injuries
8 non-specified multiple traumas
p = 0.09
Author(s)Time to Surgery
Mean ± SD
(days)
Surgical ApproachSurgical Time Mean ± SD
(minutes)
Blood Loss Mean ± SD
(mL)
Fan, S. et al. [ ]8.7 ± 2.6 (range: 5–21)Lateral-rectus75 ± 29 (range: 35–150)440 ± 153 (range: 250–1400)
Kojima, K.E. et al. [ ]N/AN/AN/AN/A
Yang, Y. et al. [ ]7.1Kocher–Langenbeck135.8 (range: 90–230)405.4 (range: 200–650)
Patil, A. et al. [ ]2.8Kocher–Langenbeck (n = 15), iliofemoral (n = 1), or modified anterior intrapelvic approach (n = 7)N/AN/A
Li, Z. et al. [ ]N/AKocher–Langenbeck (n = 35) or N/A (n = 48)154.97 ± 17.00334.59 ± 23.73
Selek, O. et al. [ ]N/AN/AN/AN/A
Chen, K. et al. [ ]9.2 ± 4.9 (range: 4–21)Single modified ilioilioinguinal182 ± 40793 ± 228 (range: 500–1500)
Hue, A.G. et al. [ ]12 (range: 8–17)Extended iliofemoral240 (range: 180–360)N/A
Fahmy, M. et al. [ ]8 ± 3 (range: 2–17)Kocher–LangenbeckN/Arange: 500–1000
Kizkapan, T.B. et al. [ ]2.3 (range: 1–6)Kocher–LangenbeckN/AN/A
Karin, M.A. et al. [ ]5.4 (range: 1–18)Ilioinguinal (n = 36), modified Stoppa (n = 4), and additional Kocher–Langenbeck (n = 7)148.5 ± 33.8741.2 ± 203.8
Gupta, S. et al. [ ]4.6 (range: 1–26)Kocher–Langenbeck with trochanteric flip osteotomyN/AN/A
Hammad, A.S. et al. [ ]6.5Kocher–LangenbeckN/AN/A
Park, K.S. et al. [ ]5.7 (range: 3–15)Kocher–Langenbeck and additional mini iliofemoral160 (range: 75–320)N/A
Elmadağ, M. et al. [ ]N/AModified StoppaN/A970 (range: 800–1250)
Li, Y.L. and Tang, Y.Y. [ ]6.6 (range: 2–15)Ilioinguinal (n = 14), Kocher–Langenbeck (n = 11), and Ilioinguinal + Kocher–Langenbeck (n = 27)N/AN/A
Magu, N.K. et al. [ ]N/AKocher–Langenbeck with additional digastric trochanteric flip osteotomy (n = 3)N/AN/A
Elmadağ, M. et al. [ ]3.7Ilioinguinal (n = 19) and modified Stoppa (n = 17)N/A1140 (range: 450–2150)
Maini, L. et al. [ ]Within 3 weeks of injuryKocher–Langenbeck with digastric trochanteric flip osteotomy150 (range: 90–240)800 (range: 350–1800)
Schwabe, P. et al. [ ]N/APercutaneousN/AN/A
Li, H. et al. [ ]7.2 (range: 0–14)Kocher–Langenbeck120 (range: 105–180)246 (range: 150–450)
Uchida, K. et al. [ ]10 (range: 1–32)Ilioinguinal (n = 19), Kocher–Langenbeck (n = 33), ilioinguinal + Kocher–Langenbeck (n = 13), and others (Smith-Peterson (2) and iliofemoral (4)) (n = 6)N/AN/A
Author(s)Quality of ReductionPostoperative Rehabilitation ProtocolOutcome Measurement
Fan, S. et al. [ ]Excellent in 131 cases, good in 31 cases, and poor in 16 casesIsometric contraction training of lower limb muscles carried out 24 h after operation, toe-touch weight-bearing permitted 6–10 weeks after surgery, and full weight-bearing depending on the patient’s general condition and fracture healing state.Excellent in 125 cases, good in 26 cases, and fair in 27 cases (MDPS)
Kojima, K.E. et al. [ ]Satisfactory in 61 cases in the non-weight-bearing group and 59 cases in the immediate weight-bearing group71 patients underwent rehabilitation with a non-weight-bearing protocol, while 66 patients underwent rehabilitation with immediate weight-bearing as tolerated.N/A
Yang, Y. et al. [ ]Anatomic in 17 cases, imperfect in 3 cases, and poor in 4 casesPhysical therapy with isometric quadriceps- and abductor-strengthening exercises on the first postoperative day, passive hip movement at 2–3 days postoperatively, and active hip movement without weight-bearing at 3–4 weeks postoperatively. Patients with traumatic posterior hip dislocation maintained skeletal traction for 2–4 weeks before hip functional exercise. Partial weight-bearing gradually initiated at 8–12 weeks according to fracture healing.Excellent in 10 cases, good in 6 cases, fair in 5 cases, and poor in 3 cases (MDPS)
Patil, A. et al. [ ]Acceptable in 23 casesPatients were kept in bed for 2 weeks, followed by non-weight-bearing mobilization with the help of a walker for another 2 weeks. Partial weight-bearing was started at 1 month, which was increased to full weight-bearing at 4 months.Mean modified MDPS of 14.95 (±3.46) and average HHS of 85.48 (±2.97)
Li, Z. et al. [ ]Excellent in 38 cases, good in 25 cases, fair in 17 cases, and poor in 3 casesIsometric contraction training of the lower limbs was allowed right after the patient awoke from anesthesia. All patients remained non-weight-bearing for four weeks, and progressive weight-bearing was allowed after radiological evidence of fracture healing.Excellent in 26 cases, good in 36 cases, fair in 13 cases, and poor in 8 cases (MDPS)
Selek, O. et al. [ ]Excellent in 20 cases, good in 24 cases, fair in 6 cases, and poor in 5 casesPassive ROM exercises of the hip, including isotonic and isometric strengthening exercises applied just after the operation, and toe-touch weight-bearing from 6 to 12 weeks.Excellent in 16 cases, good in 26 cases, fair in 10 cases, and poor in 3 cases (MDPS)
Chen, K. et al. [ ]Excellent in 17 cases, good in 4 cases, and poor in 1 caseNon-weight-bearing exercises were performed in bed within 4 weeks postoperatively, and patients were allowed to walk with a pair of crutches 4–6 weeks after operation and with a single crutch 6–12 weeks after operation.Excellent in 14 cases, good in 6 cases, and poor in 2 cases (MDPS)
Hue, A.G. et al. [ ]Anatomic in all casesStrict bedrest with continuous transtibial traction for 6 weeks. Passive mobilization of the hip after day 10. Raise from bed with 2 forearm crutches at week 6, with progressive painless resumption of weight-bearing.N/A
Fahmy, M. et al. [ ]Anatomic in 24 cases and imperfect in 6 casesEarly ROM exercises and non-weight-bearing regimen on the affected limb for 6 weeks, followed by partial weight-bearing until 12 weeks, finally progressing to full weight-bearing at 12 weeks.Excellent to good in 26 patients and fair to poor in 4 patients (MDPS)
Kizkapan, T.B. et al. [ ]Excellent in 6 cases, good in 13 cases, fair in 2 cases, and poor in 5 casesAll patients were allowed partial weight-bearing 3 months postoperatively and started full weight-bearing at 4–6 months postoperatively.Excellent in 6 cases, good in 15 cases, and fair in 5 cases (MDPS)
Karin, M.A. et al. [ ]Anatomic in 23 cases, imperfect in 9 cases, and poor in 3 casesROM started from postoperative day 1, with weight-bearing delayed until full radiological and clinical unions were evident.Excellent in 13 cases, good in 23 cases, fair in 3 cases, and poor in 1 case (MDPS)
Gupta, S. et al. [ ]N/APatients allowed for sitting, side turning, and pelvic lifting exercises on postoperative day 1, with toe-touch weight-bearing allowed within the first week and full weight-bearing allowed at the end of 3 months.Excellent in 16 cases, good in 6 cases, and fair in 2 cases (MDPS)
Hammad, A.S. et al. [ ]Anatomic in 21 cases, imperfect in 4 cases, and poor in 9 casesNon-weight bearing for 4 weeks, protected weight-bearing for 8 weeks, and full-weight bearing after 12 weeks.Excellent to good in 25 cases and fair to poor in 9 cases (MDPS)
Park, K.S. et al. [ ]Anatomic in 12 cases, imperfect in 6 cases, and poor in 5 casesActive ROM started the day after surgery, non-weight-bearing walking with two crutches from postoperative day 3, partial weight-bearing at 6 weeks, and full weight-bearing at 12 weeks.Excellent in 15 cases, good in 5 cases, fair in 1 case, and poor in 2 cases (HHS)
Elmadağ, M. et al. [ ]Anatomic in 29 cases, imperfect in 5 cases, and poor in 2 casesFlat-footed weight-bearing for 12 weeks.Excellent in 14 cases, good in 12 cases, fair in 5 cases, and poor in 5 cases (HHS); excellent in 13 cases, good in 20 cases, fair in 2 cases, and poor in 1 case (MDPS)
Li, Y.L. and Tang, Y.Y. [ ]Excellent in 22 cases, good in 15 cases, fair in 6 cases, and poor in 9 casesSit up in bed on the first postoperative day with active and passive functional exercises on the operated hip and progressive resistance exercises of the hip adductors, quadriceps, and hamstrings. Patients encouraged to use walkers between 1 and 6 weeks and crutches between 6 and 12 weeks. Full weight-bearing according to tolerance after 12 weeks.Excellent in 24 cases, good in 19 cases, fair in 2 cases, and poor in 7 cases (HHS); excellent in 14 cases, good in 29 cases, fair in 2 cases, and poor in 7 cases (MDPS)
Magu, N.K. et al. [ ]Excellent in 10 cases, good in 8 cases, fair in 5 cases, and poor in 3 casesIntermittent, pain-free quadriceps, hip, and knee flexion exercises with traction starting on the second postoperative day, partial weight-bearing permitted 6 weeks after surgery, and gradually progressing to full weight-bearing at 12 weeks.Excellent in 14 cases, good in 6 cases, fair in 3 cases, and poor in 3 cases (MDPS)
Elmadağ, M. et al. [ ]N/ACrutches used for 6 weeks with weight-bearing not permitted, followed by one crutch for 6 more weeks, with partial weight-bearing allowed. Active and passive ROM exercises started in the early postoperative period.Excellent in 21 cases, good in 12 cases, and fair in 3 cases (HHS); excellent in 18 cases, good in 14 cases, and fair in 4 cases (MDPS)
Maini, L. et al. [ ]Anatomic in 6 cases and satisfactory in 16 casesSkeletal traction for 3 weeks, non-weight-bearing status for 6–12 weeks, depending on stability and fixation of the joint, and full weight-bearing after 12–20 weeks.Extremely good in 6 cases, good in 13 cases, medium in 2 cases, and fair in 1 case
Schwabe, P. et al. [ ]Anatomic in all casesSupervised mobilization with 30 kg of weight-bearing on the ipsilateral extremity with crutches or a mobile walking device started during the first day after the operation, with full weight-bearing after 6 weeks postoperatively.Excellent in 8 patients and good in 4 patients (HHS)
Li, H. et al. [ ]Excellent in 45 cases, good in 10 cases, and fair in 2 casesJoint exercise recommended as tolerated by pain, activities limited for an average of 12 weeks before partial weight-bearing was permitted, depending on the fracture stability, and full weight-bearing only after confirmed clinical and radiological fracture union.Excellent or extremely good in 45 cases, good in 8 cases, fair in 2 cases, and poor in 2 cases
Uchida, K. et al. [ ]Anatomic in 42 cases, satisfactory in 27 cases, and unsatisfactory in 2 casesPatients enrolled in physical therapy program on the third postoperative day, starting with hip (affected side) abduction and flexion, followed by isometric and then isotonic exercise, allowing sitting from 1 week and walking using a single cane without orthosis from 10 weeks.N/A
Parameter
Follow-upFrom 6 weeks to 9 years
Complication(s)None in 12 cases
Heterotopic ossification in 52 cases5.1%
Posttraumatic hip arthritis in 41 cases4.0%
AVN of femoral head in 17 cases1.6%
Thromboembolic complications in 24 cases2.3%
Postoperative peripheral nerve injuries in 28 cases2.7%
  Sciatic nerve palsy in 14 cases
  Lateral femoral cutaneous nerve palsy in 13 cases
  Obturator nerve palsy in 1 case
Others4.1%
  Partial iliac vein damage in 1 case
  Massive bleeding in 3 cases
  Persistent drainage in 5 cases
  Wound infection in 13 cases
  Incisional hernia with mild symptoms 1 year after surgery in 1 case
  Implant loosening or irritation in 4 cases
  Loss of reduction in 12 cases
  Delayed union in 2 cases
  Femoroacetabular pincer-type impingement in 1 case
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

Giordano, V.; Pires, R.E.; Faria, L.P.G.d.; Temtemples, I.; Macagno, T.; Freitas, A.; Joeris, A.; Giannoudis, P.V. Doctor, When Should I Start Walking? Revisiting Postoperative Rehabilitation and Weight-Bearing Protocols in Operatively Treated Acetabular Fractures: A Systematic Review and Meta-Analysis. J. Clin. Med. 2024 , 13 , 3570. https://doi.org/10.3390/jcm13123570

Giordano V, Pires RE, Faria LPGd, Temtemples I, Macagno T, Freitas A, Joeris A, Giannoudis PV. Doctor, When Should I Start Walking? Revisiting Postoperative Rehabilitation and Weight-Bearing Protocols in Operatively Treated Acetabular Fractures: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine . 2024; 13(12):3570. https://doi.org/10.3390/jcm13123570

Giordano, Vincenzo, Robinson Esteves Pires, Luiz Paulo Giorgetta de Faria, Igor Temtemples, Tomas Macagno, Anderson Freitas, Alexander Joeris, and Peter V. Giannoudis. 2024. "Doctor, When Should I Start Walking? Revisiting Postoperative Rehabilitation and Weight-Bearing Protocols in Operatively Treated Acetabular Fractures: A Systematic Review and Meta-Analysis" Journal of Clinical Medicine 13, no. 12: 3570. https://doi.org/10.3390/jcm13123570

Article Metrics

Article access statistics, further information, mdpi initiatives, follow mdpi.

MDPI

Subscribe to receive issue release notifications and newsletters from MDPI journals

IMAGES

  1. PPT

    good hypothesis for science fair

  2. 3rd Grade Science Fair Projects Hypothesis

    good hypothesis for science fair

  3. question, hypothesis, materials

    good hypothesis for science fair

  4. Writing a good hypothesis for a science fair project

    good hypothesis for science fair

  5. Hypothesis Examples For Science Fair

    good hypothesis for science fair

  6. 11 Best Hypothesis examples ideas

    good hypothesis for science fair

VIDEO

  1. Misunderstanding The Null Hypothesis

  2. Characteristics of Good Hypothesis

  3. The Good Genes Hypothesis

  4. Hypothesis

  5. The Importance of Good Science Education with Matt Beall

  6. Unveiling the Silurian Hypothesis: Earth's Earliest Advanced Civilization

COMMENTS

  1. Writing a Hypothesis for Your Science Fair Project

    A hypothesis is a tentative, testable answer to a scientific question. Once a scientist has a scientific question she is interested in, the scientist reads up to find out what is already known on the topic. Then she uses that information to form a tentative answer to her scientific question. Sometimes people refer to the tentative answer as "an ...

  2. Writing a Hypothesis for Your Science Fair Project

    The goal of a science project is not to prove your hypothesis right or wrong. The goal is to learn more about how the natural world works. Even in a science fair, judges can be impressed by a project that started with a bad hypothesis. What matters is that you understood your project, did a good experiment, and have ideas for how to make it better.

  3. A Strong Hypothesis

    The hypothesis is an educated, testable prediction about what will happen. Make it clear. A good hypothesis is written in clear and simple language. Reading your hypothesis should tell a teacher or judge exactly what you thought was going to happen when you started your project. Keep the variables in mind.

  4. The Ultimate Science Fair Project Guide

    The science fair might be something you have to do for school. Or maybe it sounded cool! Either way, our science fair project guide can help! ... good science experiments attempt to answer a QUESTION. ... think a little more about that idea and focus it into a scientific question that is testable and that you can create a hypothesis around.

  5. The Science Fair: Hypothesising and Testing with Statistics

    Understanding Hypotheses. A hypothesis is a clear, testable statement of prediction. It forms the basis for an experiment designed to test its validity. The hypothesis often stems from previous knowledge and observations, leading to a reasonable assumption that can be tested scientifically.

  6. How To Design a Science Fair Experiment

    You could state a null or no-difference hypothesis, which is an easy form to test. Example: There is no difference in the size of beans soaked in water compared with beans soaked in saltwater. The key to formulating a good science fair hypothesis is to make sure you have the ability to test it, record data, and draw a conclusion. Compare these ...

  7. Step 5C: Draft your hypothesis :: Science Fair Wizard

    Step 5C: Draft your hypothesis. Your draft hypothesis statement should include the following: the question or problem you are trying to answer; how the independent variable will be changed; the measurable or testable effect it will have on the dependent variable; and your best guess as to what you think the outcome will be.

  8. science fair project

    An ice cube will melt in less than 30 minutes. You could put sit and watch the ice cube melt and think you've proved a hypothesis. But you will have missed some important steps. For a good science fair project you need to do quite a bit of research before any experimenting. Start by finding some information about how and why water melts.

  9. How to Write a Strong Hypothesis

    Developing a hypothesis (with example) Step 1. Ask a question. Writing a hypothesis begins with a research question that you want to answer. The question should be focused, specific, and researchable within the constraints of your project. Example: Research question.

  10. Hypothesis Examples

    Here are some research hypothesis examples: If you leave the lights on, then it takes longer for people to fall asleep. If you refrigerate apples, they last longer before going bad. If you keep the curtains closed, then you need less electricity to heat or cool the house (the electric bill is lower). If you leave a bucket of water uncovered ...

  11. How to Do a Science Fair Project

    A good science fair project goes beyond the classic volcano model (unless you absolutely love studying volcanoes). You want your project to stand out as you share your newfound knowledge with others. ... A hypothesis is a testable statement - not a question - that is based on some observed situation or the relationship between elements in a ...

  12. Do a Science Fair Project!

    Your science fair project may do one of three things: test an idea (hypothesis), answer a question, and/or show how nature works. Ask a parent, teacher, or other adult to help you research the topic and find out how to do a science fair project about it.

  13. Best Science Fair Ideas and Projects by Grade Level

    Grade School Science Project Ideas . Students are introduced to the scientific method in grade school and learn how to propose a hypothesis. Grade school science projects tend to be quick to complete and should be fun for the student and the teacher or parent. Examples of suitable project ideas include: . Determine whether insects are attracted to lights at night because of their heat or their ...

  14. Scientific Hypothesis Examples

    Here are some good scientific hypothesis examples: Scientific Hypothesis Examples . Hypothesis: All forks have three tines. This would be disproven if you find any fork with a different number of tines. ... How To Design a Science Fair Experiment. Science Projects for Every Subject. What 'Fail to Reject' Means in a Hypothesis Test.

  15. List of Science Fair Ideas and Experiments You Can Do

    Remember, find something that interests you, and have fun with it. To download and print this list of ideas CLICK HERE. Here's a list of over 30 Science Fair ideas to get you started. Then download science experiments, and watch experiment videos to inspire your project.

  16. 70 Best High School Science Fair Projects in Every Subject

    Remove the air in a DIY vacuum chamber. Instructables. Difficulty: Medium / Materials: Medium. You can use a vacuum chamber to do lots of cool high school science fair projects, but a ready-made one can be expensive. Try this project to make your own with basic supplies. Learn more: Vacuum Chamber at Instructables.

  17. Creating Science Fair Project Boards

    Certain science fair rules or teachers may impose specific requirements regarding what information should be included on a project board, but generally speaking a project should contain: title, background information, problem or question that students tried to answer with their research, hypothesis and procedure and any significant charts and ...

  18. PDF Writing a Hypothesis for Your Science Fair Project

    A hypothesis is a tentative, testable answer to a scientific question. Once a scientist has a scientific question she is interested in, the scientist reads up to find out what is already known on the topic. Then she uses that information to form a tentative answer to her scientific question. Sometimes people refer to the tentative answer as "an ...

  19. The Big List of Science Fair Project Ideas, Resources, and More

    Make this year's fair the best one ever with this huge list of science fair project ideas for every kind of student. Tips for Choosing a Science Fair Project. Source: @eriverselementary. With thousands of possible projects, it can be difficult to narrow down something that's a good fit for every student.

  20. Steps of the Scientific Method

    The six steps of the scientific method include: 1) asking a question about something you observe, 2) doing background research to learn what is already known about the topic, 3) constructing a hypothesis, 4) experimenting to test the hypothesis, 5) analyzing the data from the experiment and drawing conclusions, and 6) communicating the results ...

  21. Science Projects on Hypothesis for Volcanoes

    Science Projects on Hypothesis for Volcanoes. Volcanoes have captured the imaginations of science-fair participants for generations. The fun of simulating oozing lava and creating volcanic-like explosions is undeniable. Volcanoes play an important role in the topographical and meteorological patterns of Earth's past, present and future.

  22. 150+ Exciting 5th Grade Science Project Ideas With Hypothesis

    So, making a good hypothesis is an important part of any science project. Things To Remember While Selecting A 5th Grade Science Project Ideas With Hypothesis. Here are some things to remember while selecting a 5th grade science project ideas with hypothesis: 1. Personal Interest. Choose a 5th-grade science project that interests you.

  23. Political Scientists Want to Know Why We Hate Each Other This Much

    Mr. Edsall contributes a weekly column from Washington, D.C., on politics, demographics and inequality. Who among us are the most willing to jettison democratic elections? Which voters not only ...

  24. Preparing Conclusions for Your Science Fair Project

    Key Info. Your conclusions summarize how your results support or contradict your original hypothesis: Summarize your science fair project results in a few sentences and use this summary to support your conclusion. Include key facts from your background research to help explain your results as needed. State whether your results support or ...

  25. New study offers a better way to make AI fairer for everyone

    June 6, 2024 — Scientists show a new way of thinking about the fair impacts of AI decisions. They draw on a well-established tradition known as social welfare optimization, which aims to make ...

  26. JCM

    We pose the need for higher-level evidence to proof our hypothesis. ... Clinical Science, AO Innovation Translation Center, 8600 Dübendorf, Switzerland ... good = 16, fair = 13, and poor = 7 points) and the HHS (excellent = 95, good = 85. regular = 75 and poor = 35 points) were adopted for the purpose of calculating the averages. For this ...

  27. List of Science Fair Project Ideas

    Aerodynamics & Hydrodynamics. The 'Ultimate' Science Fair Project: Frisbee Aerodynamics. Aerodynamics & Hydrodynamics. The Paper Plate Hovercraft. Aerodynamics & Hydrodynamics. The Science of Launching an Airplane by Catapult. Aerodynamics & Hydrodynamics. The Swimming Secrets of Duck Feet. Aerodynamics & Hydrodynamics.