quantitative research examples titles

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100+ Quantitative Research Topics For Students

Quantitative research is a research strategy focusing on quantified data collection and analysis processes. This research strategy emphasizes testing theories on various subjects. It also includes collecting and analyzing non-numerical data.

Quantitative research is a common approach in the natural and social sciences , like marketing, business, sociology, chemistry, biology, economics, and psychology. So, if you are fond of statistics and figures, a quantitative research title would be an excellent option for your research proposal or project.

How to Get a Title of Quantitative Research

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Finding a great title is the key to writing a great quantitative research proposal or paper. A title for quantitative research prepares you for success, failure, or mediocre grades. This post features examples of quantitative research titles for all students.

Putting together a research title and quantitative research design is not as easy as some students assume. So, an example topic of quantitative research can help you craft your own. However, even with the examples, you may need some guidelines for personalizing your research project or proposal topics.

So, here are some tips for getting a title for quantitative research:

• Consider your area of studies
• Look out for relevant subjects in the area
• Expert advice may come in handy
• Check out some sample quantitative research titles

Making a quantitative research title is easy if you know the qualities of a good title in quantitative research. Reading about how to make a quantitative research title may not help as much as looking at some samples. Looking at a quantitative research example title will give you an idea of where to start.

However, let’s look at some tips for how to make a quantitative research title:

• The title should seem interesting to readers
• Ensure that the title represents the content of the research paper
• Reflect on the tone of the writing in the title
• The title should contain important keywords in your chosen subject to help readers find your paper
• The title should not be too lengthy
• It should be grammatically correct and creative
• It must generate curiosity

An excellent quantitative title should be clear, which implies that it should effectively explain the paper and what readers can expect. A research title for quantitative research is the gateway to your article or proposal. So, it should be well thought out. Additionally, it should give you room for extensive topic research.

A sample of quantitative research titles will give you an idea of what a good title for quantitative research looks like. Here are some examples:

• What is the correlation between inflation rates and unemployment rates?
• Has climate adaptation influenced the mitigation of funds allocation?
• Job satisfaction and employee turnover: What is the link?
• A look at the relationship between poor households and the development of entrepreneurship skills
• Urbanization and economic growth: What is the link between these elements?
• Does education achievement influence people’s economic status?
• What is the impact of solar electricity on the wholesale energy market?
• Debt accumulation and retirement: What is the relationship between these concepts?
• Can people with psychiatric disorders develop independent living skills?
• Children’s nutrition and its impact on cognitive development

Quantitative research applies to various subjects in the natural and social sciences. Therefore, depending on your intended subject, you have numerous options. Below are some good quantitative research topics for students:

• The difference between the colorific intake of men and women in your country
• Top strategies used to measure customer satisfaction and how they work
• Black Friday sales: are they profitable?
• The correlation between estimated target market and practical competitive risk assignment
• Are smartphones making us brighter or dumber?
• Nuclear families Vs. Joint families: Is there a difference?
• What will society look like in the absence of organized religion?
• A comparison between carbohydrate weight loss benefits and high carbohydrate diets?
• How does emotional stability influence your overall well-being?
• The extent of the impact of technology in the communications sector

Creativity is the key to creating a good research topic in quantitative research. Find a good quantitative research topic below:

• How much exercise is good for lasting physical well-being?
• A comparison of the nutritional therapy uses and contemporary medical approaches
• Does sugar intake have a direct impact on diabetes diagnosis?
• Education attainment: Does it influence crime rates in society?
• Is there an actual link between obesity and cancer rates?
• Do kids with siblings have better social skills than those without?
• Computer games and their impact on the young generation
• Has social media marketing taken over conventional marketing strategies?
• The impact of technology development on human relationships and communication
• What is the link between drug addiction and age?

Need more quantitative research title examples to inspire you? Here are some quantitative research title examples to look at:

• Habitation fragmentation and biodiversity loss: What is the link?
• Radiation has affected biodiversity: Assessing its effects
• An assessment of the impact of the CORONA virus on global population growth
• Is the pandemic truly over, or have human bodies built resistance against the virus?
• The ozone hole and its impact on the environment
• The greenhouse gas effect: What is it and how has it impacted the atmosphere
• GMO crops: are they good or bad for your health?
• Is there a direct link between education quality and job attainment?
• How have education systems changed from traditional to modern times?
• The good and bad impacts of technology on education qualities

Your examiner will give you excellent grades if you come up with a unique title and outstanding content. Here are some quantitative research examples titles.

• Online classes: are they helpful or not?
• What changes has the global CORONA pandemic had on the population growth curve?
• Daily habits influenced by the global pandemic
• An analysis of the impact of culture on people’s personalities
• How has feminism influenced the education system’s approach to the girl child’s education?
• Academic competition: what are its benefits and downsides for students?
• Is there a link between education and student integrity?
• An analysis of how the education sector can influence a country’s economy
• An overview of the link between crime rates and concern for crime
• Is there a link between education and obesity?

Research title example quantitative topics when well-thought guarantees a paper that is a good read. Look at the examples below to get started.

• What are the impacts of online games on students?
• Sex education in schools: how important is it?
• Should schools be teaching about safe sex in their sex education classes?
• The correlation between extreme parent interference on student academic performance
• Is there a real link between academic marks and intelligence?
• Teacher feedback: How necessary is it, and how does it help students?
• An analysis of modern education systems and their impact on student performance
• An overview of the link between academic performance/marks and intelligence
• Are grading systems helpful or harmful to students?
• What was the impact of the pandemic on students?

Irrespective of the course you take, here are some titles that can fit diverse subjects pretty well. Here are some creative quantitative research title ideas:

• A look at the pre-corona and post-corona economy
• How are conventional retail businesses fairing against eCommerce sites like Amazon and Shopify?
• An evaluation of mortality rates of heart attacks
• Effective treatments for cardiovascular issues and their prevention
• A comparison of the effectiveness of home care and nursing home care
• Strategies for managing effective dissemination of information to modern students
• How does educational discrimination influence students’ futures?
• The impacts of unfavorable classroom environment and bullying on students and teachers
• An overview of the implementation of STEM education to K-12 students
• How effective is digital learning?

If your paper addresses a problem, you must present facts that solve the question or tell more about the question. Here are examples of quantitative research titles that will inspire you.

• An elaborate study of the influence of telemedicine in healthcare practices
• How has scientific innovation influenced the defense or military system?
• The link between technology and people’s mental health
• Has social media helped create awareness or worsened people’s mental health?
• How do engineers promote green technology?
• How can engineers raise sustainability in building and structural infrastructures?
• An analysis of how decision-making is dependent on someone’s sub-conscious
• A comprehensive study of ADHD and its impact on students’ capabilities
• The impact of racism on people’s mental health and overall wellbeing
• How has the current surge in social activism helped shape people’s relationships?

Are you looking for an example of a quantitative research title? These ten examples below will get you started.

• The prevalence of nonverbal communication in social control and people’s interactions
• The impacts of stress on people’s behavior in society
• A study of the connection between capital structures and corporate strategies
• How do changes in credit ratings impact equality returns?
• A quantitative analysis of the effect of bond rating changes on stock prices
• The impact of semantics on web technology
• An analysis of persuasion, propaganda, and marketing impact on individuals
• The dominant-firm model: what is it, and how does it apply to your country’s retail sector?
• The role of income inequality in economy growth
• An examination of juvenile delinquents’ treatment in your country

Excellent Topics For Quantitative Research

Here are some titles for quantitative research you should consider:

• Does studying mathematics help implement data safety for businesses
• How are art-related subjects interdependent with mathematics?
• How do eco-friendly practices in the hospitality industry influence tourism rates?
• A deep insight into how people view eco-tourisms
• Religion vs. hospitality: Details on their correlation
• Has your country’s tourist sector revived after the pandemic?
• How effective is non-verbal communication in conveying emotions?
• Are there similarities between the English and French vocabulary?
• How do politicians use persuasive language in political speeches?
• The correlation between popular culture and translation

Here are some quantitative research titles examples for your consideration:

• How do world leaders use language to change the emotional climate in their nations?
• Extensive research on how linguistics cultivate political buzzwords
• The impact of globalization on the global tourism sector
• An analysis of the effects of the pandemic on the worldwide hospitality sector
• The influence of social media platforms on people’s choice of tourism destinations
• Educational tourism: What is it and what you should know about it
• Why do college students experience math anxiety?
• Is math anxiety a phenomenon?
• A guide on effective ways to fight cultural bias in modern society
• Creative ways to solve the overpopulation issue

An example of quantitative research topics for 12 th -grade students will come in handy if you want to score a good grade. Here are some of the best ones:

• The link between global warming and climate change
• What is the greenhouse gas impact on biodiversity and the atmosphere
• Has the internet successfully influenced literacy rates in society
• The value and downsides of competition for students
• A comparison of the education system in first-world and third-world countries
• The impact of alcohol addiction on the younger generation
• How has social media influenced human relationships?
• Has education helped boost feminism among men and women?
• Are computers in classrooms beneficial or detrimental to students?
• How has social media improved bullying rates among teenagers?

High school students can apply research titles on social issues  or other elements, depending on the subject. Let’s look at some quantitative topics for students:

• What is the right age to introduce sex education for students
• Can extreme punishment help reduce alcohol consumption among teenagers?
• Should the government increase the age of sexual consent?
• The link between globalization and the local economy collapses
• How are global companies influencing local economies?

There are numerous possible quantitative research topics you can write about. Here are some great quantitative research topics examples:

• The correlation between video games and crime rates
• Do college studies impact future job satisfaction?
• What can the education sector do to encourage more college enrollment?
• The impact of education on self-esteem
• The relationship between income and occupation

You can find inspiration for your research topic from trending affairs on social media or in the news. Such topics will make your research enticing. Find a trending topic for quantitative research example from the list below:

• How the country’s economy is fairing after the pandemic
• An analysis of the riots by women in Iran and what the women gain to achieve
• Is the current US government living up to the voter’s expectations?
• How is the war in Ukraine affecting the global economy?
• Can social media riots affect political decisions?

A proposal is a paper you write proposing the subject you would like to cover for your research and the research techniques you will apply. If the proposal is approved, it turns to your research topic. Here are some quantitative titles you should consider for your research proposal:

• Military support and economic development: What is the impact in developing nations?
• How does gun ownership influence crime rates in developed countries?
• How can the US government reduce gun violence without influencing people’s rights?
• What is the link between school prestige and academic standards?
• Is there a scientific link between abortion and the definition of viability?

You can never have too many sample titles. The samples allow you to find a unique title you’re your research or proposal. Find a sample quantitative research title here:

• Does weight loss indicate good or poor health?
• Should schools do away with grading systems?
• The impact of culture on student interactions and personalities
• How can parents successfully protect their kids from the dangers of the internet?
• Is the US education system better or worse than Europe’s?

If you’re a business major, then you must choose a research title quantitative about business. Let’s look at some research title examples quantitative in business:

• Creating shareholder value in business: How important is it?
• The changes in credit ratings and their impact on equity returns
• The importance of data privacy laws in business operations
• How do businesses benefit from e-waste and carbon footprint reduction?
• Organizational culture in business: what is its importance?

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Interesting, creative, unique, and easy quantitative research topics allow you to explain your paper and make research easy. Therefore, you should not take choosing a research paper or proposal topic lightly. With your topic ready, reach out to us today for excellent research paper writing services .

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What Is Quantitative Research? | Definition, Methods & Examples

Published by Ellie Cross at October 24th, 2024 , Revised On October 24, 2024

Quantitative research involves gathering and analysing numerical data to make predictions and describe the relationship between two variables. It deals with more than just numbers and integrates theory, hypothesis , proper methodological approach and statistical analysis to answer research questions.

It is a crucial part of market research that relies on numerical data and other computational techniques to gain insights into consumer preferences and opinions. Unlike qualitative research which uses hard evidence to answer a research question, quantitative research is more data-based and uses objective measurements to answer research questions.

What is Quantitative Research?

The meaning of quantitative research can be understood from the word quantitative, which focuses on data such as numbers that can be easily quantified, compared and analysed. This type of research uses both primary and secondary sources to gain data through closed-question poll results, demographic data and census information.

While quantitative data can be gathered through surveys and other methods, it can also be gained from the research studies of third parties. Additionally, this research is widely used in the fields of psychology, economics, accounting, finance and marketing.

Types Of Quantitative Research

There are several kinds of quantitative research with different methodologies and purposes. Each type has its own characteristics and can be used to calculate data in different ways. Here are numerous types of quantitative research:

Correlational Research

Correlational research defines the possibility of a relation existing between two variables. It identifies a relationship to define patterns and trends between two or more study variables.

Example : Cross-sectional studies and cross-section analysis

• Experimental Research

In experimental research , you investigate if two variables affect each other. This mostly includes studying the effect of independent variables on dependent variables. Experiments are carried out to study the cause and effect between them to establish relationships.

Example: Field and laboratory experiments

• Descriptive Research

In this type of research, a researcher often studies the characteristics of a dataset. This includes applying mean, median and standard deviation equations to understand the data.

Example: Surveys and observational studies

It is necessary to know that both experimental and correlational research use sampling methods to test hypotheses and generate findings that are applicable to a large population.

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Quantitative Research Methods

Quantitative research methods include both primary and secondary research methods to analyse and gather numerical data. Here is an overview of the various methods employed for quantitative research:

Quantitative Research Advantages & Disadvantages

Quantitative research focuses on gathering numerical data to explain a particular topic, subject or research question. Like any other research, there are strengths of qualitative research. However, there are disadvantages as well which should be considered:

Quantitative Research Vs Qualitative Research

There are two types of research, qualitative research and quantitative research . Unlike quantitative research, qualitative research is exploratory and does not use mathematical and statistical methods to analyse the data gathered. The table below outlines the key differences between qualitative and quantitative research:

Quantitative Research Examples

Here are a few examples of quantitative research that can help understand how the studies are carried out:

A fast-food restaurant notices that there has been a significant drop in their sales. To understand the reasons behind this, they conduct a descriptive research study to gather insights. Numerical data is collected through customer surveys with close-ended questions asking about food quality, customer service, and service speed. This helps them pinpoint that the service speed is a major issue.

A smartphone company has launched a new smartphone with added features and benefits. They display a new marketing campaign in their outlets at every mall. To determine the success of their product, they launched a social media survey based on the Likert scale, where the customers have to rate the features and overall campaign on a scale of 1 to 5 reflecting the level of satisfaction or dissatisfaction. These responses help the brand determine customer’s perceptions, opinions and overall experience.

Frequently Asked Questions

What is research design for quantitative study .

A research design for a quantitative study is a framework that highlights how the research will be carried out. It specifies the research question, variables, sampling method to be used, data analysis methods and the ethical considerations to be taken into view.

What is a CASP quantitative research tool?

CASP (Critical Appraisal Skills Programme) is a quantitative research tool that is used to evaluate the effectiveness and quality of quantitative research studies. It checks the authenticity, accuracy and reliability of the data collected and assists policymakers and researchers in ensuring that it meets the highest standards of research.

What are the different kinds of quantitative research?

Quantitative research can be categorised into several types such as:

• Cross-sectional Research
• Correlational Research 
• Comparative Research 
• Longitudinal Research

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Secondary research focuses on analysing and interpreting data and information that has been collected by others and already exists.

Primary research deals with research that is objective and accurate by collecting first-hand data & information on a specific subject.

Learn how to read a research paper using the best strategy to acquire knowledge and find references for literature review simultaneously.

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What is Quantitative Research? Definition, Methods, Types, and Examples

If you’re wondering what is quantitative research and whether this methodology works for your research study, you’re not alone. If you want a simple quantitative research definition , then it’s enough to say that this is a method undertaken by researchers based on their study requirements. However, to select the most appropriate research for their study type, researchers should know all the methods available. 

Selecting the right research method depends on a few important criteria, such as the research question, study type, time, costs, data availability, and availability of respondents. There are two main types of research methods— quantitative research  and qualitative research. The purpose of quantitative research is to validate or test a theory or hypothesis and that of qualitative research is to understand a subject or event or identify reasons for observed patterns.   

Quantitative research methods  are used to observe events that affect a particular group of individuals, which is the sample population. In this type of research, diverse numerical data are collected through various methods and then statistically analyzed to aggregate the data, compare them, or show relationships among the data. Quantitative research methods broadly include questionnaires, structured observations, and experiments.  

Here are two quantitative research examples:  

• Satisfaction surveys sent out by a company regarding their revamped customer service initiatives. Customers are asked to rate their experience on a rating scale of 1 (poor) to 5 (excellent).  
• A school has introduced a new after-school program for children, and a few months after commencement, the school sends out feedback questionnaires to the parents of the enrolled children. Such questionnaires usually include close-ended questions that require either definite answers or a Yes/No option. This helps in a quick, overall assessment of the program’s outreach and success.  

Table of Contents

What is quantitative research ? 1,2

The steps shown in the figure can be grouped into the following broad steps:  

• Theory : Define the problem area or area of interest and create a research question.  
• Hypothesis : Develop a hypothesis based on the research question. This hypothesis will be tested in the remaining steps.  
• Research design : In this step, the most appropriate quantitative research design will be selected, including deciding on the sample size, selecting respondents, identifying research sites, if any, etc.
• Data collection : This process could be extensive based on your research objective and sample size.  
• Data analysis : Statistical analysis is used to analyze the data collected. The results from the analysis help in either supporting or rejecting your hypothesis.  
• Present results : Based on the data analysis, conclusions are drawn, and results are presented as accurately as possible.  

Quantitative research characteristics 4

• Large sample size : This ensures reliability because this sample represents the target population or market. Due to the large sample size, the outcomes can be generalized to the entire population as well, making this one of the important characteristics of quantitative research .  
• Structured data and measurable variables: The data are numeric and can be analyzed easily. Quantitative research involves the use of measurable variables such as age, salary range, highest education, etc.  
• Easy-to-use data collection methods : The methods include experiments, controlled observations, and questionnaires and surveys with a rating scale or close-ended questions, which require simple and to-the-point answers; are not bound by geographical regions; and are easy to administer.  
• Data analysis : Structured and accurate statistical analysis methods using software applications such as Excel, SPSS, R. The analysis is fast, accurate, and less effort intensive.  
• Reliable : The respondents answer close-ended questions, their responses are direct without ambiguity and yield numeric outcomes, which are therefore highly reliable.  
• Reusable outcomes : This is one of the key characteristics – outcomes of one research can be used and replicated in other research as well and is not exclusive to only one study.  

Quantitative research methods 5

Quantitative research methods are classified into two types—primary and secondary.  

Primary quantitative research method:

In this type of quantitative research , data are directly collected by the researchers using the following methods.

– Survey research : Surveys are the easiest and most commonly used quantitative research method . They are of two types— cross-sectional and longitudinal.   

->Cross-sectional surveys are specifically conducted on a target population for a specified period, that is, these surveys have a specific starting and ending time and researchers study the events during this period to arrive at conclusions. The main purpose of these surveys is to describe and assess the characteristics of a population. There is one independent variable in this study, which is a common factor applicable to all participants in the population, for example, living in a specific city, diagnosed with a specific disease, of a certain age group, etc. An example of a cross-sectional survey is a study to understand why individuals residing in houses built before 1979 in the US are more susceptible to lead contamination.  

->Longitudinal surveys are conducted at different time durations. These surveys involve observing the interactions among different variables in the target population, exposing them to various causal factors, and understanding their effects across a longer period. These studies are helpful to analyze a problem in the long term. An example of a longitudinal study is the study of the relationship between smoking and lung cancer over a long period.  

– Descriptive research : Explains the current status of an identified and measurable variable. Unlike other types of quantitative research , a hypothesis is not needed at the beginning of the study and can be developed even after data collection. This type of quantitative research describes the characteristics of a problem and answers the what, when, where of a problem. However, it doesn’t answer the why of the problem and doesn’t explore cause-and-effect relationships between variables. Data from this research could be used as preliminary data for another study. Example: A researcher undertakes a study to examine the growth strategy of a company. This sample data can be used by other companies to determine their own growth strategy.  

– Correlational research : This quantitative research method is used to establish a relationship between two variables using statistical analysis and analyze how one affects the other. The research is non-experimental because the researcher doesn’t control or manipulate any of the variables. At least two separate sample groups are needed for this research. Example: Researchers studying a correlation between regular exercise and diabetes.  

– Causal-comparative research : This type of quantitative research examines the cause-effect relationships in retrospect between a dependent and independent variable and determines the causes of the already existing differences between groups of people. This is not a true experiment because it doesn’t assign participants to groups randomly. Example: To study the wage differences between men and women in the same role. For this, already existing wage information is analyzed to understand the relationship.  

– Experimental research : This quantitative research method uses true experiments or scientific methods for determining a cause-effect relation between variables. It involves testing a hypothesis through experiments, in which one or more independent variables are manipulated and then their effect on dependent variables are studied. Example: A researcher studies the importance of a drug in treating a disease by administering the drug in few patients and not administering in a few.  

The following data collection methods are commonly used in primary quantitative research :  

• Sampling : The most common type is probability sampling, in which a sample is chosen from a larger population using some form of random selection, that is, every member of the population has an equal chance of being selected. The different types of probability sampling are—simple random, systematic, stratified, and cluster sampling.  
• Interviews : These are commonly telephonic or face-to-face.  
• Observations : Structured observations are most commonly used in quantitative research . In this method, researchers make observations about specific behaviors of individuals in a structured setting.  
• Document review : Reviewing existing research or documents to collect evidence for supporting the quantitative research .  
• Surveys and questionnaires : Surveys can be administered both online and offline depending on the requirement and sample size.

The data collected can be analyzed in several ways in quantitative research , as listed below:  

• Cross-tabulation —Uses a tabular format to draw inferences among collected data  
• MaxDiff analysis —Gauges the preferences of the respondents  
• TURF analysis —Total Unduplicated Reach and Frequency Analysis; helps in determining the market strategy for a business  
• Gap analysis —Identify gaps in attaining the desired results  
• SWOT analysis —Helps identify strengths, weaknesses, opportunities, and threats of a product, service, or organization  
• Text analysis —Used for interpreting unstructured data  

Secondary quantitative research methods :

This method involves conducting research using already existing or secondary data. This method is less effort intensive and requires lesser time. However, researchers should verify the authenticity and recency of the sources being used and ensure their accuracy.  

The main sources of secondary data are: 

• The Internet  
• Government and non-government sources  
• Public libraries  
• Educational institutions  
• Commercial information sources such as newspapers, journals, radio, TV  

When to use quantitative research 6  

Here are some simple ways to decide when to use quantitative research . Use quantitative research to:  

• recommend a final course of action  
• find whether a consensus exists regarding a particular subject  
• generalize results to a larger population  
• determine a cause-and-effect relationship between variables  
• describe characteristics of specific groups of people  
• test hypotheses and examine specific relationships  
• identify and establish size of market segments  

A research case study to understand when to use quantitative research 7  

Context: A study was undertaken to evaluate a major innovation in a hospital’s design, in terms of workforce implications and impact on patient and staff experiences of all single-room hospital accommodations. The researchers undertook a mixed methods approach to answer their research questions. Here, we focus on the quantitative research aspect.  

Research questions : What are the advantages and disadvantages for the staff as a result of the hospital’s move to the new design with all single-room accommodations? Did the move affect staff experience and well-being and improve their ability to deliver high-quality care?  

Method: The researchers obtained quantitative data from three sources:  

• Staff activity (task time distribution): Each staff member was shadowed by a researcher who observed each task undertaken by the staff, and logged the time spent on each activity.  
• Staff travel distances : The staff were requested to wear pedometers, which recorded the distances covered.  
• Staff experience surveys : Staff were surveyed before and after the move to the new hospital design.  

Results of quantitative research : The following observations were made based on quantitative data analysis:  

• The move to the new design did not result in a significant change in the proportion of time spent on different activities.  
• Staff activity events observed per session were higher after the move, and direct care and professional communication events per hour decreased significantly, suggesting fewer interruptions and less fragmented care.  
• A significant increase in medication tasks among the recorded events suggests that medication administration was integrated into patient care activities.  
• Travel distances increased for all staff, with highest increases for staff in the older people’s ward and surgical wards.  
• Ratings for staff toilet facilities, locker facilities, and space at staff bases were higher but those for social interaction and natural light were lower.  

Advantages of quantitative research 1,2

When choosing the right research methodology, also consider the advantages of quantitative research and how it can impact your study.  

• Quantitative research methods are more scientific and rational. They use quantifiable data leading to objectivity in the results and avoid any chances of ambiguity.  
• This type of research uses numeric data so analysis is relatively easier .  
• In most cases, a hypothesis is already developed and quantitative research helps in testing and validatin g these constructed theories based on which researchers can make an informed decision about accepting or rejecting their theory.  
• The use of statistical analysis software ensures quick analysis of large volumes of data and is less effort intensive.  
• Higher levels of control can be applied to the research so the chances of bias can be reduced.  
• Quantitative research is based on measured value s, facts, and verifiable information so it can be easily checked or replicated by other researchers leading to continuity in scientific research.  

Disadvantages of quantitative research 1,2

Quantitative research may also be limiting; take a look at the disadvantages of quantitative research. 

• Experiments are conducted in controlled settings instead of natural settings and it is possible for researchers to either intentionally or unintentionally manipulate the experiment settings to suit the results they desire.  
• Participants must necessarily give objective answers (either one- or two-word, or yes or no answers) and the reasons for their selection or the context are not considered.   
• Inadequate knowledge of statistical analysis methods may affect the results and their interpretation.  
• Although statistical analysis indicates the trends or patterns among variables, the reasons for these observed patterns cannot be interpreted and the research may not give a complete picture.  
• Large sample sizes are needed for more accurate and generalizable analysis .  
• Quantitative research cannot be used to address complex issues.  

Frequently asked questions on  quantitative research    

Q:  What is the difference between quantitative research and qualitative research? 1  

A:  The following table lists the key differences between quantitative research and qualitative research, some of which may have been mentioned earlier in the article.  

Q:  What is the difference between reliability and validity? 8,9    

A:  The term reliability refers to the consistency of a research study. For instance, if a food-measuring weighing scale gives different readings every time the same quantity of food is measured then that weighing scale is not reliable. If the findings in a research study are consistent every time a measurement is made, then the study is considered reliable. However, it is usually unlikely to obtain the exact same results every time because some contributing variables may change. In such cases, a correlation coefficient is used to assess the degree of reliability. A strong positive correlation between the results indicates reliability.  

Validity can be defined as the degree to which a tool actually measures what it claims to measure. It helps confirm the credibility of your research and suggests that the results may be generalizable. In other words, it measures the accuracy of the research.  

The following table gives the key differences between reliability and validity.  

Q:  What is mixed methods research? 10

A:  A mixed methods approach combines the characteristics of both quantitative research and qualitative research in the same study. This method allows researchers to validate their findings, verify if the results observed using both methods are complementary, and explain any unexpected results obtained from one method by using the other method. A mixed methods research design is useful in case of research questions that cannot be answered by either quantitative research or qualitative research alone. However, this method could be more effort- and cost-intensive because of the requirement of more resources. The figure 3 shows some basic mixed methods research designs that could be used.  

Thus, quantitative research is the appropriate method for testing your hypotheses and can be used either alone or in combination with qualitative research per your study requirements. We hope this article has provided an insight into the various facets of quantitative research , including its different characteristics, advantages, and disadvantages, and a few tips to quickly understand when to use this research method.  

References  

• Qualitative vs quantitative research: Differences, examples, & methods. Simply Psychology. Accessed Feb 28, 2023. https://simplypsychology.org/qualitative-quantitative.html#Quantitative-Research  
• Your ultimate guide to quantitative research. Qualtrics. Accessed February 28, 2023. https://www.qualtrics.com/uk/experience-management/research/quantitative-research/  
• The steps of quantitative research. Revise Sociology. Accessed March 1, 2023. https://revisesociology.com/2017/11/26/the-steps-of-quantitative-research/  
• What are the characteristics of quantitative research? Marketing91. Accessed March 1, 2023. https://www.marketing91.com/characteristics-of-quantitative-research/  
• Quantitative research: Types, characteristics, methods, & examples. ProProfs Survey Maker. Accessed February 28, 2023. https://www.proprofssurvey.com/blog/quantitative-research/#Characteristics_of_Quantitative_Research  
• Qualitative research isn’t as scientific as quantitative methods. Kmusial blog. Accessed March 5, 2023. https://kmusial.wordpress.com/2011/11/25/qualitative-research-isnt-as-scientific-as-quantitative-methods/  
• Maben J, Griffiths P, Penfold C, et al. Evaluating a major innovation in hospital design: workforce implications and impact on patient and staff experiences of all single room hospital accommodation. Southampton (UK): NIHR Journals Library; 2015 Feb. (Health Services and Delivery Research, No. 3.3.) Chapter 5, Case study quantitative data findings. Accessed March 6, 2023. https://www.ncbi.nlm.nih.gov/books/NBK274429/  
• McLeod, S. A. (2007).  What is reliability?  Simply Psychology. www.simplypsychology.org/reliability.html  
• Reliability vs validity: Differences & examples. Accessed March 5, 2023. https://statisticsbyjim.com/basics/reliability-vs-validity/  
• Mixed methods research. Community Engagement Program. Harvard Catalyst. Accessed February 28, 2023. https://catalyst.harvard.edu/community-engagement/mmr  

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Based on 22+ years of experience in academia, Editage All Access empowers researchers to put their best research forward and move closer to success. Explore our top AI Tools pack, AI Tools + Publication Services pack, or Build Your Own Plan. Find everything a researcher needs to succeed, all in one place –  Get All Access now starting at just $14 a month !    

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Writing Effective Research Paper Titles: Advice and Examples

Are you ready to submit your research paper for publication but haven't settled on a title yet? Do you have a title but aren't sure if it will be the right one for the journal editor or research database search engines? This article will help you fine tune or create an effective research paper title for your work.

Now that you have finished your research and analysis, and you're ready to take the final step before sending your work to journal editors and reviewers. The first thing journal editors and search engine results will see and show is your research paper title. Creating an effective research paper title is highly important to getting your paper in front of the right people. It is also going to be the only part of your paper that is available to everyone for free, and it will be what search engines use to index and show your work in search results. You therefore must design a clear and persuasive title that accurately represents your work.

When writing an effective research paper title, you want to ensure that the title includes all the relevant aspects of your work. Showcase those aspects in a way that entices the audience to read more. Be sure to use the nomenclature common in your field of study, because that will help your work show up in more search results and it will grab the attention of journal editors looking for articles that clearly represent the industry. If you are studying landslides, for example, you will want to include keywords relating to soil composition or grain size; if you are working on a study about organ transplants, then include the specific feature or procedure that affected successful transplants. Identify what parts of your research are going to interest your intended audience.

There are two key pieces of information that people will need to see in your paper title: the subject and the objective. Because you are already familiar with your study and its purpose, creating an effective research paper title is simply a matter of whittling down the words that describe the important aspects of your paper. The advice below will help you take steps to identify key areas of your research, organize the information, and trim it down to the right size for a title.

Develop a topic statement

To get started, consider a topic statement of your paper that includes the subject and scope of the study. The first step in building a topic statement is to ask yourself the following questions:

• What is your research paper about? "My paper is about gene therapy and how it can improve cognitive function in dementia patients."
• What was the subject of your study? "I used data from 40 dementia patients from 10 states in the US."
• What method did you use to perform your research? "I performed a randomized trial."
• What were the results? "My study showed that gene therapy improved cognitive function in those who received the treatment."

Once you have answered those questions (such as in the example answers above), make a list of the keywords you used. For this example, those keywords would include the following:

• gene therapy
• cognitive function
• 40 dementia patients
• improved cognitive function
• 10 states in the US
• randomized trial

Then, create your topic statement using those keywords. It might read something like this:

"This study is a randomized trial that investigates whether gene therapy improved cognitive function in 40 dementia patients from 10 states in the US. The results show improved cognitive function in those who received the treatment."

This statement has 36 words — too long for a title. However, it does contain the main required elements: the subject and the objective. It also includes a summary of the results, which can be used to increase the persuasive nature of the title. If you are writing this down on paper, it may be helpful to underline or circle the keywords you used in the statement, as this will help you visually see how the keywords work together in your statement.

Trim the statement

The next step is to remove all unnecessary words to create a working title. Unnecessary words include elements that make the sentences complete sentences. Also remove words that are not central to your study or that would not be used in a research database search.

" This study is a randomized trial that investigates whether gene therapy improved cognitive function in 40 dementia patients from 10 states in the US. The results show improved cognitive function in those who received the treatment ."

Next, take those words and move them around to form a new phrase. This may take a few tries to get it right, but it is worth the time.

"A randomized trial investigating whether gene therapy improved cognitive function in 40 dementia patients from 10 states in the US showed improved cognitive function."

This sample now has 24 words. We still need to get it down to the ideal 15 or fewer total words, with just the exact information journal editors will want. One way to do this is to use the keywords at the beginning and end of your title. Remove any irrelevant facts that other researchers will not be searching for. For example, the method you used is not usually the most searched-for keyword.

" A randomized trial investigating whether gene therapy improved cognitive function in 40 dementia patients from 10 states in the US showed improved cognitive function. "

The final result may be something like this:

"Investigating the impact of gene therapy on cognitive function in dementia patients"

The resulting title has 13 words, had the main action at the beginning, and the main subject of the study at the end. This is a good example of how to create an effective research paper title that will increase journal editors' and reviewers' interest, and it may even help your paper receive more citations down the road.

Main tips to remember

If you are working on your first research paper title, the process can seem intimidating. Even with the process outlined above, creating the best research paper title possible for your work can be difficult and time consuming. Be sure to set aside a good amount of time to developing your title so that you don't feel rushed. Some writers go through 20 or more iterations before they arrive at a title that achieves effectiveness, persuasiveness, and clarity of purpose all in one.

In addition to the above process, keep the following main tips in mind when writing an effective research paper title:

• Write your paper and abstract first, then work on your title. This will make the process much easier than trying to nail a title down without a full, finished paper to start from.
• Keep your title short! Do not include more than 15 words.
• Do not use a period at the end of your title.
• Be sure that the keywords you use truly represent the content of your paper.
• Do not use abbreviations in your title.
• Include all essential key terms from your paper. This ensures your paper will be indexed properly in research databases and search engines. If you are unsure of the best keywords to use, talk to an academic librarian at your institution. They can help you identify keyword and search trends in your research field.

Examples of research paper titles

The lists below illustrate what effective and ineffective research paper titles look like. Use these examples to help guide your research paper title.

Effective titles

• Nurses on the Move: A Quantitative Report on How Meditation Can Improve Nurse Performance
• Correction of the ion transport defect in cystic fibrosis transgenic mice by gene therapy
• Landslide mapping techniques and their use in the assessment of the landslide hazard
• HLA compatibility and organ transplant survival: Collaborative Transplant Study

Ineffective titles

• Meditation Gurus
• The landslide story
• Landslide hazard and risk assessment
• Pharmacodynamics of oral ganciclovir and valganciclovir in solid organ transplant recipients

No matter what kind of field you are doing research in, you have the opportunity to create an amazing and effective research paper title that will engage your readers and get your paper in front of the journal editors and reviewers you want. By taking the time to go through the title development process, you will finish your work with a title that matches the work outlined in your research paper.

Header photo by Stokkete .

200 Quantitative Research Title for Stem Students

Are you a STEM (Science, Technology, Engineering, and Mathematics) student looking for inspiration for your next research project? You’re in the right place! Quantitative research involves gathering numerical data to answer specific questions, and it’s a fundamental part of STEM fields. To help you get started on your research journey, we’ve compiled a list of 200 quantitative research title for stem students. These titles span various STEM disciplines, from biology to computer science. Whether you’re an undergraduate or graduate student, these titles can serve as a springboard for your research ideas.

Biology and Life Sciences

• The Impact of pH Levels on Microbial Growth
• Examining the Impact of Temperature on Enzyme Activity.
• Investigating the Relationship Between Genetics and Obesity
• Exploring the Diversity of Microorganisms in Soil Samples
• Quantifying the Impact of Pesticides on Aquatic Ecosystems
• Studying the Effect of Light Exposure on Plant Growth
• Analyzing the Efficiency of Antibiotics on Bacterial Infections
• Investigating the Relationship Between Blood Type and Disease Susceptibility
• Evaluating the Effects of Different Diets on Lifespan in Fruit Flies
• Evaluating the Influence of Air Pollution on Respiratory Health.
• Determining the Kinetics of Chemical Reactions
• Investigating the Conductivity of Various Ionic Solutions
• Analyzing the Effects of Temperature on Gas Solubility
• Studying the Corrosion Rate of Metals in Different Environments
• Quantifying the Concentration of Heavy Metals in Water Sources
• Evaluating the Efficiency of Photocatalytic Materials in Water Purification
• Examining the Thermodynamics of Electrochemical Cells
• Investigating the Effect of pH on Acid-Base Titrations
• Analyzing the Composition of Natural and Synthetic Polymers
• Assessing the Chemical Properties of Nanoparticles
• Measuring the Speed of Light Using Interferometry
• Studying the Behavior of Electromagnetic Waves in Different Media
• Investigating the Relationship Between Mass and Gravitational Force
• Analyzing the Efficiency of Solar Cells in Energy Conversion
• Examining Quantum Entanglement in Photon Pairs
• Quantifying the Heat Transfer in Different Materials
• Evaluating the Efficiency of Wind Turbines in Energy Production
• Studying the Elasticity of Materials Through Stress-Strain Analysis
• Analyzing the Effects of Magnetic Fields on Particle Motion
• Investigating the Behavior of Superconductors at Low Temperatures

Mathematics

• Exploring Patterns in Prime Numbers
• Analyzing the Distribution of Random Variables
• Investigating the Properties of Fractals in Geometry
• Evaluating the Efficiency of Optimization Algorithms
• Studying the Dynamics of Differential Equations
• Quantifying the Growth of Cryptocurrency Markets
• Analyzing Network Theory and its Applications
• Investigating the Complexity of Sorting Algorithms
• Assessing the Predictive Power of Machine Learning Models
• Examining the Distribution of Prime Factors in Large Numbers

Computer Science

• Evaluating the Performance of Encryption Algorithms
• Analyzing the Efficiency of Data Compression Techniques
• Investigating Cybersecurity Threats in IoT Devices
• Quantifying the Impact of Code Refactoring on Software Quality
• Studying the Behavior of Neural Networks in Image Recognition
• Analyzing the Effectiveness of Natural Language Processing Models
• Investigating the Relationship Between Software Bugs and Development Methods
• Evaluating the Efficiency of Blockchain Consensus Mechanisms
• Assessing the Privacy Implications of Social Media Data Mining
• Studying the Dynamics of Online Social Networks

Engineering

• Analyzing the Structural Integrity of Bridges Under Load
• Investigating the Efficiency of Renewable Energy Systems
• Quantifying the Performance of Water Filtration Systems
• Evaluating the Durability of 3D-Printed Materials
• Studying the Aerodynamics of Drone Design
• Analyzing the Impact of Noise Pollution on Urban Environments
• Investigating the Efficiency of Heat Exchangers in HVAC Systems
• Assessing the Safety of Autonomous Vehicles in Real-world Scenarios
• Exploring the Applications of Artificial Intelligence in Robotics
• Investigating Material Behavior in Extreme Conditions.

Environmental Science

• Assessing the Effect of Climate Change on Wildlife Migration.
• Analyzing the Effect of Deforestation on Carbon Sequestration
• Investigating the Relationship Between Air Quality and Human Health
• Quantifying the Rate of Soil Erosion in Different Landscapes
• Analyzing the Impacts of Ocean Acidification on Coral Reefs.
• Assessing the Efficiency of Waste-to-Energy Conversion Technologies
• Analyzing the Impact of Urbanization on Local Microclimates
• Investigating the Effect of Oil Spills on Aquatic Ecosystems
• Assessing the Effectiveness of Endangered Species Conservation Initiatives.
• Studying the Dynamics of Ecological Communities

Astronomy and Space Sciences

• Measuring the Orbits of Exoplanets Using Transit Photometry
• Investigating the Formation of Stars in Nebulae
• Analyzing the Characteristics of Black Holes
• Exploring the Characteristics of Cosmic Microwave Background Radiation.
• Quantifying the Distribution of Dark Matter in Galaxies
• Assessing the Effects of Space Weather on Satellite Communications
• Evaluating the Potential for Asteroid Mining
• Investigating the Habitability of Exoplanets in the Goldilocks Zone
• Analyzing Gravitational Waves from Neutron Star Collisions
• Investigating the Evolution of Galaxies Across Cosmic Eras.

Health Sciences

• Evaluating the Impact of Exercise on Cardiovascular Health
• Analyzing the Relationship Between Diet and Diabetes
• Investigating the Efficacy of Vaccination Programs
• Quantifying the Psychological Effects of Social Media Use
• Studying the Genetics of Neurodegenerative Diseases
• Analyzing the Effects of Meditation on Stress Reduction
• Investigating the Correlation Between Sleep Patterns and Mental Health
• Assessing the Influence of Environmental Factors on Allergies
• Evaluating the Effectiveness of Telemedicine in Patient Care
• Studying the Health Disparities Among Different Demographic Groups

Materials Science

• Analyzing the Properties of Carbon Nanotubes for Nanoelectronics
• Investigating the Thermal Conductivity of Advanced Ceramics
• Quantifying the Strength of Composite Materials
• Studying the Optical Properties of Quantum Dots
• Evaluating the Biocompatibility of Biomaterials for Implants
• Investigating the Phase Transitions in Perovskite Materials
• Analyzing the Mechanical Behavior of Shape Memory Alloys
• Assessing the Corrosion Resistance of Coatings on Metals
• Studying the Electrical Conductivity of Polymer Blends
• Exploring the Superconducting Properties of High-Temperature Superconductors

Earth Sciences

• Assessing the Influence of Volcanic Eruptions on Climate.
• Analyzing the Geological Processes Shaping Earth’s Surface
• Investigating the Seismic Activity in Subduction Zones
• Quantifying the Rate of Glacial Retreat in Polar Regions
• Studying the Formation of Earthquakes Along Fault Lines
• Analyzing the Changes in Ocean Circulation Due to Climate Change
• Investigating the Effects of Urbanization on Groundwater Quality
• Assessing the Risk of Landslides in Hilly Terrain
• Evaluating the Impact of Coastal Erosion on Communities
• Studying the Behavior of Hurricanes in Different Oceanic Basins

Social Sciences and Economics

• Analyzing the Economic Impact of Natural Disasters
• Investigating the Relationship Between Education and Income
• Quantifying the Effects of Public Health Policies on Disease Spread
• Studying the Demographic Changes in Aging Populations
• Evaluating the Effects of Gender Diversity on Corporate Performance
• Analyzing the Influence of Social Media on Political Behavior
• Investigating the Correlation Between Happiness and Economic Growth
• Assessing the Factors Affecting Consumer Buying Behavior
• Studying the Dynamics of International Trade Flows
• Exploring the Effects of Income Inequality on Social Mobility

Robotics and Artificial Intelligence

• Evaluating the Performance of Reinforcement Learning Algorithms in Robotics
• Analyzing the Efficiency of Autonomous Navigation Systems
• Investigating Human-Robot Interaction in Collaborative Environments
• Quantifying the Accuracy of Object Detection Algorithms
• Studying the Ethics of Autonomous AI Decision-Making
• Analyzing the Robustness of Machine Learning Models to Adversarial Attacks
• Investigating the Use of AI in Healthcare Diagnosis
• Assessing the Impact of AI on Job Markets
• Evaluating the Efficiency of Natural Language Processing in Chatbots
• Studying the Potential for AI to Enhance Education

Energy and Sustainability

• Examining the Environmental Consequences of Renewable Energy Sources.
• Investigating the Efficiency of Energy Storage Systems
• Quantifying the Benefits of Green Building Technologies
• Studying the Effects of Carbon Pricing on Emissions Reduction
• Examining the Prospect for Carbon Capture and Storage
• Assessing the Sustainability of Food Production Systems
• Investigating the Impact of Electric Vehicles on Urban Air Quality
• Analyzing the Energy Consumption Patterns in Smart Cities
• Studying the Feasibility of Hydrogen as a Clean Energy Carrier
• Exploring Sustainable Agriculture Practices for Crop Yield Improvement

Neuroscience and Psychology

• Evaluating the Cognitive Effects of Video Game Play
• Analyzing Brain Activity During Decision-Making Processes
• Investigating the Neural Correlates of Emotional Regulation
• Quantifying the Impact of Music on Brain Function
• Analyzing the Outcomes of Mindfulness Meditation on Anxiety
• Analyzing Sleep Patterns and Memory Consolidation
• Investigating the Relationship Between Neurotransmitters and Mood
• Assessing the Neural Basis of Addiction
• Evaluating the Effects of Trauma on Brain Structure
• Studying the Brain’s Response to Virtual Reality Environments

Mechanical Engineering

• Analyzing the Efficiency of Heat Exchangers in Power Plants
• Investigating the Wear and Tear of Mechanical Bearings
• Quantifying the Vibrations in Mechanical Systems
• Studying the Aerodynamics of Wind Turbine Blades
• Evaluating the Frictional Properties of Lubricants
• Assessing the Efficiency of Cooling Systems in Electronics
• Investigating the Performance of Internal Combustion Engines
• Analyzing the Impact of Additive Manufacturing on Product Development
• Studying the Dynamics of Fluid Flow in Pipelines
• Exploring the Behavior of Composite Materials in Aerospace Structures

Biomedical Engineering

• Evaluating the Biomechanics of Human Joint Replacements
• Analyzing the Performance of Wearable Health Monitoring Devices
• Investigating the Biocompatibility of 3D-Printed Medical Implants
• Quantifying the Drug Release Rates from Biodegradable Polymers
• Studying the Efficiency of Drug Delivery Systems
• Assessing the Use of Nanoparticles in Cancer Therapies
• Investigating the Biomechanics of Tissue Engineering Constructs
• Analyzing the Effects of Electrical Stimulation on Nerve Regeneration
• Evaluating the Mechanical Properties of Artificial Heart Valves
• Studying the Biomechanics of Human Movement

Civil and Environmental Engineering

• Analyzing the Structural Behavior of Tall Buildings in Seismic Zones
• Investigating the Efficiency of Stormwater Management Systems
• Quantifying the Impact of Green Infrastructure on Urban Flooding
• Studying the Behavior of Soils in Slope Stability Analysis
• Evaluating the Performance of Water Treatment Plants
• Assessing the Sustainability of Transportation Systems
• Investigating the Effects of Climate Change on Infrastructure Resilience
• Analyzing the Environmental Impact of Construction Materials
• Studying the Dynamics of River Sediment Transport
• Exploring the Use of Smart Materials in Civil Engineering Applications

Chemical Engineering

• Evaluating the Efficiency of Chemical Reactors in Pharmaceutical Production
• Analyzing the Mass Transfer Rates in Membrane Separation Processes
• Investigating the Effects of Catalysis on Chemical Reactions
• Quantifying the Kinetics of Polymerization Reactions
• Studying the Thermodynamics of Gas-Liquid Absorption Processes
• Assessing the Efficiency of Adsorption-Based Carbon Capture
• Investigating the Rheological Properties of Non-Newtonian Fluids
• Analyzing the Effects of Surfactants on Foam Stability
• Studying the Mass Transport in Microfluidic Devices
• Exploring the Synthesis of Nanomaterials for Energy Applications

Electrical and Electronic Engineering

• Analyzing the Efficiency of Power Electronics in Electric Vehicles
• Investigating the Performance of Wireless Communication Systems
• Quantifying the Power Consumption of IoT Devices
• Studying the Reliability of Printed Circuit Boards
• Evaluating the Efficiency of Photovoltaic Inverters
• Assessing the Electromagnetic Compatibility of Electronic Devices
• Investigating the Behavior of Antenna Arrays in Beamforming
• Analyzing the Power Quality in Electrical Grids
• Studying the Security of IoT Networks
• Exploring the Use of Machine Learning in Signal Processing

These 200 quantitative research titles offer a diverse array of options to inspire your next STEM research endeavor. Always remember to select a subject that truly captivates your interest and curiosity, as your enthusiasm and curiosity will drive your research to new heights. Good luck with your research journey, STEM student!

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How to Choose a Research Paper Title with Examples

What is a research paper title and why does it matter?

A research title summarizes the aim and purpose of your research study. Making a title for your research is one of the most important decisions when writing an article to publish in journals. The research title is the first thing that journal editors and reviewers see when they look at your paper and the only piece of information that fellow researchers will see in a database or search engine query. Good titles that are concise and contain all the relevant terms have been shown to increase citation counts and Altmetric scores .

Therefore, when you title research work, make sure it captures all of the relevant aspects of your study, including the specific topic and problem being investigated. It also should present these elements in a way that is accessible and will captivate readers. Follow these steps to learn how to make a good research title for your work.

How to Make a Research Paper Title in 5 Steps

You might wonder how you are supposed to pick a title from all the content that your manuscript contains—how are you supposed to choose? What will make your research paper title come up in search engines and what will make the people in your field read it? 

In a nutshell, your research title should accurately capture what you have done, it should sound interesting to the people who work on the same or a similar topic, and it should contain the important title keywords that other researchers use when looking for literature in databases. To make the title writing process as simple as possible, we have broken it down into 5 simple steps.

Step 1: Answer some key questions about your research paper

What does your paper seek to answer and what does it accomplish? Try to answer these questions as briefly as possible. You can create these questions by going through each section of your paper and finding the MOST relevant information to make a research title.

Step 2: Identify research study keywords

Now that you have answers to your research questions, find the most important parts of these responses and make these your study keywords. Note that you should only choose the most important terms for your keywords–journals usually request anywhere from 3 to 8 keywords maximum.

Step 3: Research title writing: use these keywords

“We employed a case study of 60 liver transplant patients around the US aged 20-50 years to assess how waiting list volume affects the outcomes of liver transplantation in patients; results indicate a positive correlation between increased waiting list volume and negative prognosis after the transplant procedure.”

The sentence above is clearly much too long for a research paper title. This is why you will trim and polish your title in the next two steps.

Step 4: Create a working research paper title

To create a working title, remove elements that make it a complete “sentence” but keep everything that is important to what the study is about. Delete all unnecessary and redundant words that are not central to the study or that researchers would most likely not use in a database search.

“ We employed a case study of 60 liver transplant patients around the US aged 20-50 years to assess how the waiting list volume affects the outcome of liver transplantation in patients ; results indicate a positive correlation between increased waiting list volume and a negative prognosis after transplant procedure ”

Now shift some words around for proper syntax and rephrase it a bit to shorten the length and make it leaner and more natural. What you are left with is:

“A case study of 60 liver transplant patients around the US aged 20-50 years assessing the impact of waiting list volume on outcome of transplantation and showing a positive correlation between increased waiting list volume and a negative prognosis” (Word Count: 38)

This text is getting closer to what we want in a research title, which is just the most important information. But note that the word count for this working title is still 38 words, whereas the average length of published journal article titles is 16 words or fewer. Therefore, we should eliminate some words and phrases that are not essential to this title.

Step 5: Remove any nonessential words and phrases from your title

Because the number of patients studied and the exact outcome are not the most essential parts of this paper, remove these elements first:

 “A case study of 60 liver transplant patients around the US aged 20-50 years assessing the impact of waiting list volume on outcomes of transplantation and showing a positive correlation between increased waiting list volume and a negative prognosis” (Word Count: 19)

In addition, the methods used in a study are not usually the most searched-for keywords in databases and represent additional details that you may want to remove to make your title leaner. So what is left is:

“Assessing the impact of waiting list volume on outcome and prognosis in liver transplantation patients” (Word Count: 15)

In this final version of the title, one can immediately recognize the subject and what objectives the study aims to achieve. Note that the most important terms appear at the beginning and end of the title: “Assessing,” which is the main action of the study, is placed at the beginning; and “liver transplantation patients,” the specific subject of the study, is placed at the end.

This will aid significantly in your research paper title being found in search engines and database queries, which means that a lot more researchers will be able to locate your article once it is published. In fact, a 2014 review of more than 150,000 papers submitted to the UK’s Research Excellence Framework (REF) database found the style of a paper’s title impacted the number of citations it would typically receive. In most disciplines, articles with shorter, more concise titles yielded more citations.

Adding a Research Paper Subtitle

If your title might require a subtitle to provide more immediate details about your methodology or sample, you can do this by adding this information after a colon:

“ : a case study of US adult patients ages 20-25”

If we abide strictly by our word count rule this may not be necessary or recommended. But every journal has its own standard formatting and style guidelines for research paper titles, so it is a good idea to be aware of the specific journal author instructions , not just when you write the manuscript but also to decide how to create a good title for it.

Research Paper Title Examples

The title examples in the following table illustrate how a title can be interesting but incomplete, complete by uninteresting, complete and interesting but too informal in tone, or some other combination of these. A good research paper title should meet all the requirements in the four columns below.

Tips on Formulating a Good Research Paper Title

In addition to the steps given above, there are a few other important things you want to keep in mind when it comes to how to write a research paper title, regarding formatting, word count, and content:

• Write the title after you’ve written your paper and abstract
• Include all of the essential terms in your paper
• Keep it short and to the point (~16 words or fewer)
• Avoid unnecessary jargon and abbreviations
• Use keywords that capture the content of your paper
• Never include a period at the end—your title is NOT a sentence

Research Paper Writing Resources

We hope this article has been helpful in teaching you how to craft your research paper title. But you might still want to dig deeper into different journal title formats and categories that might be more suitable for specific article types or need help with writing a cover letter for your manuscript submission.

In addition to getting English proofreading services , including paper editing services , before submission to journals, be sure to visit our academic resources papers. Here you can find dozens of articles on manuscript writing, from drafting an outline to finding a target journal to submit to.