Identify
Explore
Discover
Discuss
Summarise
Describe
Last, format your objectives into a numbered list. This is because when you write your thesis or dissertation, you will at times need to make reference to a specific research objective; structuring your research objectives in a numbered list will provide a clear way of doing this.
To bring all this together, let’s compare the first research objective in the previous example with the above guidance:
Research Objective:
1. Develop finite element models using explicit dynamics to mimic mallet blows during cup/shell insertion, initially using simplified experimentally validated foam models to represent the acetabulum.
Checking Against Recommended Approach:
Q: Is it specific? A: Yes, it is clear what the student intends to do (produce a finite element model), why they intend to do it (mimic cup/shell blows) and their parameters have been well-defined ( using simplified experimentally validated foam models to represent the acetabulum ).
Q: Is it measurable? A: Yes, it is clear that the research objective will be achieved once the finite element model is complete.
Q: Is it achievable? A: Yes, provided the student has access to a computer lab, modelling software and laboratory data.
Q: Is it relevant? A: Yes, mimicking impacts to a cup/shell is fundamental to the overall aim of understanding how they deform when impacted upon.
Q: Is it timebound? A: Yes, it is possible to create a limited-scope finite element model in a relatively short time, especially if you already have experience in modelling.
Q: Does it start with a verb? A: Yes, it starts with ‘develop’, which makes the intent of the objective immediately clear.
Q: Is it a numbered list? A: Yes, it is the first research objective in a list of eight.
1. making your research aim too broad.
Having a research aim too broad becomes very difficult to achieve. Normally, this occurs when a student develops their research aim before they have a good understanding of what they want to research. Remember that at the end of your project and during your viva defence , you will have to prove that you have achieved your research aims; if they are too broad, this will be an almost impossible task. In the early stages of your research project, your priority should be to narrow your study to a specific area. A good way to do this is to take the time to study existing literature, question their current approaches, findings and limitations, and consider whether there are any recurring gaps that could be investigated .
Note: Achieving a set of aims does not necessarily mean proving or disproving a theory or hypothesis, even if your research aim was to, but having done enough work to provide a useful and original insight into the principles that underlie your research aim.
Be realistic about what you can achieve in the time you have available. It is natural to want to set ambitious research objectives that require sophisticated data collection and analysis, but only completing this with six months before the end of your PhD registration period is not a worthwhile trade-off.
Each research objective should have its own purpose and distinct measurable outcome. To this effect, a common mistake is to form research objectives which have large amounts of overlap. This makes it difficult to determine when an objective is truly complete, and also presents challenges in estimating the duration of objectives when creating your project timeline. It also makes it difficult to structure your thesis into unique chapters, making it more challenging for you to write and for your audience to read.
Fortunately, this oversight can be easily avoided by using SMART objectives.
Hopefully, you now have a good idea of how to create an effective set of aims and objectives for your research project, whether it be a thesis, dissertation or research paper. While it may be tempting to dive directly into your research, spending time on getting your aims and objectives right will give your research clear direction. This won’t only reduce the likelihood of problems arising later down the line, but will also lead to a more thorough and coherent research project.
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Writing a research paper, thesis, or dissertation ? If so, you’ll want to state your research objectives in the introduction of your paper to make it clear to your readers what you’re trying to accomplish. But how do you write effective research objectives? In this post, we’ll look at two key topics to help you do this:
For more advice on how to write strong research objectives, see below.
There is an important difference between research aims and research objectives:
For instance, an example research aim could be:
This study will investigate the link between dehydration and the incidence of urinary tract infections (UTIs) in intensive care patients in Australia.
To develop a set of research objectives, you would then break down the various steps involved in meeting said aim. For example:
This study will investigate the link between dehydration and the incidence of urinary tract infections (UTIs) in intensive care patients in Australia. To achieve this, the study objectives w ill include:
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Note that the objectives don’t go into any great detail here. The key is to briefly summarize each component of your study. You can save details for how you will conduct the research for the methodology section of your paper.
A great way to refine your research objectives is to use SMART criteria . Borrowed from the world of project management, there are many versions of this system. However, we’re going to focus on developing specific, measurable, achievable, relevant, and timebound objectives.
In other words, a good research objective should be all of the following:
If you follow this system, your research objectives will be much stronger.
Whatever your research aims and objectives, make sure to have your academic writing proofread by the experts!
Our academic editors can help you with research papers and proposals , as well as any other scholarly document you need checking. And this will help to ensure that your academic writing is always clear, concise, and precise.
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Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]
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Research objectives refer to the definitive statements made by researchers at the beginning of a research project detailing exactly what a research project aims to achieve.
These objectives are explicit goals clearly and concisely projected by the researcher to present a clear intention or course of action for his or her qualitative or quantitative study.
Research objectives are typically nested under one overarching research aim. The objectives are the steps you’ll need to take in order to achieve the aim (see the examples below, for example, which demonstrate an aim followed by 3 objectives, which is what I recommend to my research students).
Research aim and research objectives are fundamental constituents of any study, fitting together like two pieces of the same puzzle.
The ‘research aim’ describes the overarching goal or purpose of the study (Kumar, 2019). This is usually a broad, high-level purpose statement, summing up the central question that the research intends to answer.
Example of an Overarching Research Aim:
“The aim of this study is to explore the impact of climate change on crop productivity.”
Comparatively, ‘research objectives’ are concrete goals that underpin the research aim, providing stepwise actions to achieve the aim.
Objectives break the primary aim into manageable, focused pieces, and are usually characterized as being more specific, measurable, achievable, relevant, and time-bound (SMART).
Examples of Specific Research Objectives:
1. “To examine the effects of rising temperatures on the yield of rice crops during the upcoming growth season.” 2. “To assess changes in rainfall patterns in major agricultural regions over the first decade of the twenty-first century (2000-2010).” 3. “To analyze the impact of changing weather patterns on crop diseases within the same timeframe.”
The distinction between these two terms, though subtle, is significant for successfully conducting a study. The research aim provides the study with direction, while the research objectives set the path to achieving this aim, thereby ensuring the study’s efficiency and effectiveness.
I usually recommend to my students that they use the SMART framework to create their research objectives.
SMART is an acronym standing for Specific, Measurable, Achievable, Relevant, and Time-bound. It provides a clear method of defining solid research objectives and helps students know where to start in writing their objectives (Locke & Latham, 2013).
Each element of this acronym adds a distinct dimension to the framework, aiding in the creation of comprehensive, well-delineated objectives.
Here is each step:
You’re not expected to fit every single element of the SMART framework in one objective, but across your objectives, try to touch on each of the five components.
1. Field: Psychology
Aim: To explore the impact of sleep deprivation on cognitive performance in college students.
2. Field: Environmental Science
Aim: To understand the effects of urban green spaces on human well-being in a metropolitan city.
3. Field: Technology
Aim: To investigate the influence of using social media on productivity in the workplace.
4. Field: Education
Aim: To examine the effectiveness of online vs traditional face-to-face learning on student engagement and achievement.
5. Field: Health
Aim: To determine the impact of a Mediterranean diet on cardiac health among adults over 50.
6. Field: Environmental Science
Aim: To analyze the impact of urban farming on community sustainability.
7. Field: Sociology
Aim: To investigate the influence of home offices on work-life balance during remote work.
8. Field: Economics
Aim: To evaluate the effects of minimum wage increases on small businesses.
9. Field: Education
Aim: To explore the role of extracurricular activities in promoting soft skills among high school students.
10. Field: Technology
Aim: To assess the impact of virtual reality (VR) technology on the tourism industry.
11. Field: Biochemistry
Aim: To examine the role of antioxidants in preventing cellular damage.
12. Field: Linguistics
Aim: To determine the influence of early exposure to multiple languages on cognitive development in children.
13. Field: Art History
Aim: To explore the impact of the Renaissance period on modern-day art trends.
14. Field: Cybersecurity
Aim: To assess the effectiveness of two-factor authentication (2FA) in preventing unauthorized system access.
15. Field: Cultural Studies
Aim: To analyze the role of music in cultural identity formation among ethnic minorities.
16. Field: Astronomy
Aim: To explore the impact of solar activity on satellite communication.
17. Field: Literature
Aim: To examine narrative techniques in contemporary graphic novels.
18. Field: Renewable Energy
Aim: To investigate the feasibility of solar energy as a primary renewable resource within urban areas.
19. Field: Sports Science
Aim: To evaluate the role of pre-game rituals in athlete performance.
20. Field: Ecology
Aim: To investigate the effects of urban noise pollution on bird populations.
21. Field: Food Science
Aim: To examine the influence of cooking methods on the nutritional value of vegetables.
The importance of research objectives cannot be overstated. In essence, these guideposts articulate what the researcher aims to discover, understand, or examine (Kothari, 2014).
When drafting research objectives, it’s essential to make them simple and comprehensible, specific to the point of being quantifiable where possible, achievable in a practical sense, relevant to the chosen research question, and time-constrained to ensure efficient progress (Kumar, 2019).
Remember that a good research objective is integral to the success of your project, offering a clear path forward for setting out a research design , and serving as the bedrock of your study plan. Each objective must distinctly address a different dimension of your research question or problem (Kothari, 2014). Always bear in mind that the ultimate purpose of your research objectives is to succinctly encapsulate your aims in the clearest way possible, facilitating a coherent, comprehensive and rational approach to your planned study, and furnishing a scientific roadmap for your journey into the depths of knowledge and research (Kumar, 2019).
Kothari, C.R (2014). Research Methodology: Methods and Techniques . New Delhi: New Age International.
Kumar, R. (2019). Research Methodology: A Step-by-Step Guide for Beginners .New York: SAGE Publications.
Doran, G. T. (1981). There’s a S.M.A.R.T. way to write management’s goals and objectives. Management review, 70 (11), 35-36.
Locke, E. A., & Latham, G. P. (2013). New Developments in Goal Setting and Task Performance . New York: Routledge.
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Picture yourself on a road trip without a destination in mind — driving aimlessly, not knowing where you’re headed or how to get there. Similarly, your research is navigated by well-defined research aims and objectives. Research aims and objectives are the foundation of any research project. They provide a clear direction and purpose for the study, ensuring that you stay focused and on track throughout the process. They are your trusted navigational tools, leading you to success.
Understanding the relationship between research objectives and aims is crucial to any research project’s success, and we’re here to break it down for you in this article. Here, we’ll explore the importance of research aims and objectives, understand their differences, and delve into the impact they have on the quality of research.
In research, aims and objectives are two important components but are often used interchangeably. Though they may sound similar, they are distinct and serve different purposes.
Research aims are broad statements that describe the overall purpose of your study. They provide a general direction for your study and indicate the intended achievements of your research. Aims are usually written in a general and abstract manner describing the ultimate goal of the research.
Research objectives are specific, measurable, and achievable goals that you aim to accomplish within a specified timeframe. They break down the research aims into smaller, more manageable components and provide a clear picture of what you want to achieve and how you plan to achieve it.
In the example, the objectives provide specific targets that must be achieved to reach the aim. Essentially, aims provide the overall direction for the research while objectives provide specific targets that must be achieved to accomplish the aims. Aims provide a broad context for the research, while the objectives provide smaller steps that the researcher must take to accomplish the overall research goals. To illustrate, when planning a road trip, your research aim is the destination you want to reach, and your research objectives are the specific routes you need to take to get there.
Aims and objectives are interconnected. Objectives play a key role in defining the research methodology, providing a roadmap for how you’ll collect and analyze data, while aim is the final destination, which represents the ultimate goal of your research. By setting specific goals, you’ll be able to design a research plan that helps you achieve your objectives and, ultimately, your research aim.
The impact of clear research aims and objectives on the quality of research cannot be understated. But it’s not enough to simply have aims and objectives. Well-defined research aims and objectives are important for several reasons:
Formulating effective research aims and objectives involves a systematic process to ensure that they are clear, specific, achievable, and relevant. Start by asking yourself what you want to achieve through your research. What impact do you want your research to have? Once you have a clear understanding of your aims, you can then break them down into specific, achievable objectives. Here are some steps you can follow when developing research aims and objectives:
There are several common mistakes that researchers can make when writing research aims and objectives. These include:
To avoid these common pitfalls, it is important to be specific, clear, relevant, and realistic when writing research aims and objectives. Seek feedback from colleagues or supervisors to ensure that the aims and objectives are aligned with the research problem , questions, and methodology, and are achievable within the constraints of the research project. It’s important to continually refine your aims and objectives as you go. As you progress in your research, it’s not uncommon for research aims and objectives to evolve slightly, but it’s important that they remain consistent with the study conducted and the research topic.
In summary, research aims and objectives are the backbone of any successful research project. They give you the ability to cut through the noise and hone in on what really matters. By setting clear goals and aligning them with your research questions and methodology, you can ensure that your research is relevant, impactful, and of the highest quality. So, before you hit the road on your research journey, make sure you have a clear destination and steps to get there. Let us know in the comments section below the challenges you faced and the strategies you followed while fomulating research aims and objectives! Also, feel free to reach out to us at any stage of your research or publication by using #AskEnago and tagging @EnagoAcademy on Twitter , Facebook , and Quora . Happy researching!
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The research objective of a research proposal or scientific article defines the direction or content of a research investigation. Without the research objectives, the proposal or research paper is in disarray. It is like a fisherman riding on a boat without any purpose and with no destination in sight. Therefore, at the beginning of any research venture, the researcher must be clear about what he or she intends to do or achieve in conducting a study.
Definition of a research objective.
A research objective describes, in a few words, the result of the research project after its implementation. It answers the question,
The research objective provides direction to the performance of the study.
The uses of the research objective are enumerated below:
The variables of the study include those factors that the researcher wants to evaluate in the study. These variables narrow down the research to several manageable components to see differences or correlations between them.
Specifying the data collection procedure ensures data accuracy and integrity . Thus, the probability of error is minimized. Generalizations or conclusions based on valid arguments founded on reliable data strengthens research findings on particular issues and problems.
In data mining activities where large data sets are involved, the research objective plays a crucial role. Without a clear objective to guide the machine learning process, the desired outcomes will not be met.
A research objective must be achievable, i.e., it must be framed keeping in mind the available time, infrastructure required for research, and other resources.
Before forming a research objective, you should read about all the developments in your area of research and find gaps in knowledge that need to be addressed. Readings will help you come up with suitable objectives for your research project.
Finally, writing the research objectives requires constant practice, experience, and knowledge about the topic investigated. Clearly written objectives save time, money, and effort.
Evans, K. L., Rodrigues, A. S., Chown, S. L., & Gaston, K. J. (2006). Protected areas and regional avian species richness in South Africa. Biology letters , 2 (2), 184-188.
Yeemin, T., Sutthacheep, M., & Pettongma, R. (2006). Coral reef restoration projects in Thailand. Ocean & Coastal Management , 49 (9-10), 562-575.
© 2020 March 23 P. A. Regoniel Updated 17 November 2020 | Updated 18 January 2024
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Research objectives are specific goals or purposes that guide a study or investigation. They are clearly defined statements that outline what the researcher aims to achieve through their research . These objectives help to focus the study, provide direction, and establish the scope of the research design . They typically include the main questions or problems the research seeks to address and are essential for designing the methodology, data collection, and analysis processes. By defining research objectives , researchers can ensure their study remains on track and addresses the key issues relevant to their topic.
Research objectives are clear, specific goals that guide a study’s direction and scope. They outline what the researcher aims to achieve, helping to focus the research, design methodologies, and guide data collection and analysis. These objectives ensure the research stays on track and addresses key issues relevant to the topic.
Research objectives are crucial because they provide clear direction and focus for a study, ensuring that the research stays on track and addresses the specific goals set by the researcher. They help in the formulation of research questions and the design of the methodology, guiding data collection and analysis processes. Well-defined objectives make it easier to measure the study’s success and ensure that the findings are relevant and meaningful. They also enhance the credibility and reliability of the research by outlining a precise plan, making it easier for others to understand and replicate the study.
Descriptive objectives aim to describe the characteristics or functions of a particular phenomenon or population. These objectives focus on answering the “what” aspect of research. Example : To describe the demographic characteristics of smartphone users in the United States.
Exploratory objectives aim to explore new areas where little information is available. They seek to gain insights and familiarize the researcher with the subject area. Example : To explore the potential factors influencing consumer preferences for electric vehicles.
Explanatory objectives aim to explain the relationships or causality between variables. These objectives focus on understanding the “why” and “how” aspects of research. Example : To explain the relationship between social media usage and academic performance among college students.
Predictive objectives aim to predict the future trends, behaviors, or outcomes based on current data or trends. These objectives are used to forecast and anticipate future scenarios. Example : To predict the impact of climate change on agricultural productivity over the next decade.
Evaluative objectives aim to assess the effectiveness or impact of an intervention, program, or policy. These objectives focus on determining the success or value of something. Example : To evaluate the effectiveness of a new employee training program on job performance.
Research objectives are crucial components of any study as they define the purpose and goals of the research. Well-crafted research objectives provide clarity, direction, and focus to the study. Here are the key characteristics of research objectives:
Research objectives should be clear and precise, leaving no room for ambiguity. They should clearly state what the research intends to achieve. Example: Specific Objective: “To determine the impact of social media marketing on consumer purchasing decisions.”
Objectives should be quantifiable, allowing researchers to assess the extent to which they have been achieved. This involves using metrics or indicators that can be measured. Example: Measurable Objective: “To measure the increase in sales by 15% after implementing a social media marketing campaign.”
The objectives should be realistic and attainable within the scope and resources of the study. Setting achievable goals ensures that the research can be completed successfully. Example: Achievable Objective: “To survey 500 consumers within a three-month period to understand their social media usage patterns.”
Objectives must be relevant to the research problem and aligned with the overall purpose of the study. They should address the key issues and contribute to solving the research problem. Example: Relevant Objective: “To analyze the relationship between social media engagement and brand loyalty among teenagers.”
Objectives should have a clear timeframe within which they are to be achieved. This helps in planning and maintaining the research schedule. Example: Time-bound Objective: “To complete data collection within six months and publish findings within one year.”
1. identify the research problem.
Advantages of research objectives.
Why are research objectives important.
Research objectives provide direction and focus for the study, ensuring that the research stays on track and addresses relevant questions.
Formulate research objectives by identifying key questions your research aims to answer, ensuring they are specific, measurable, achievable, relevant, and time-bound (SMART).
Research objectives outline the goals of the study, while research questions specify what the researcher aims to find out.
Yes, research objectives can be refined or adjusted as the study progresses, especially if new insights emerge.
The number of research objectives depends on the scope of the study but typically ranges from two to five.
Research objectives guide the study, while hypotheses are testable predictions derived from these objectives.
Yes, research objectives can be either qualitative, focusing on understanding phenomena, or quantitative, focusing on measuring variables.
Prioritize research objectives based on their relevance to the research problem and feasibility within the study’s constraints.
Research objectives help structure the literature review, guiding the selection of relevant studies and identifying gaps in existing research.
Research objectives determine the type of data needed and the appropriate methods for collecting this data.
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* Michael G. DeGroote School of Medicine, the
† Division of Orthopaedic Surgery and the
‡ Departments of Surgery and
§ Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ont
There is an increasing familiarity with the principles of evidence-based medicine in the surgical community. As surgeons become more aware of the hierarchy of evidence, grades of recommendations and the principles of critical appraisal, they develop an increasing familiarity with research design. Surgeons and clinicians are looking more and more to the literature and clinical trials to guide their practice; as such, it is becoming a responsibility of the clinical research community to attempt to answer questions that are not only well thought out but also clinically relevant. The development of the research question, including a supportive hypothesis and objectives, is a necessary key step in producing clinically relevant results to be used in evidence-based practice. A well-defined and specific research question is more likely to help guide us in making decisions about study design and population and subsequently what data will be collected and analyzed. 1
In this article, we discuss important considerations in the development of a research question and hypothesis and in defining objectives for research. By the end of this article, the reader will be able to appreciate the significance of constructing a good research question and developing hypotheses and research objectives for the successful design of a research study. The following article is divided into 3 sections: research question, research hypothesis and research objectives.
Interest in a particular topic usually begins the research process, but it is the familiarity with the subject that helps define an appropriate research question for a study. 1 Questions then arise out of a perceived knowledge deficit within a subject area or field of study. 2 Indeed, Haynes suggests that it is important to know “where the boundary between current knowledge and ignorance lies.” 1 The challenge in developing an appropriate research question is in determining which clinical uncertainties could or should be studied and also rationalizing the need for their investigation.
Increasing one’s knowledge about the subject of interest can be accomplished in many ways. Appropriate methods include systematically searching the literature, in-depth interviews and focus groups with patients (and proxies) and interviews with experts in the field. In addition, awareness of current trends and technological advances can assist with the development of research questions. 2 It is imperative to understand what has been studied about a topic to date in order to further the knowledge that has been previously gathered on a topic. Indeed, some granting institutions (e.g., Canadian Institute for Health Research) encourage applicants to conduct a systematic review of the available evidence if a recent review does not already exist and preferably a pilot or feasibility study before applying for a grant for a full trial.
In-depth knowledge about a subject may generate a number of questions. It then becomes necessary to ask whether these questions can be answered through one study or if more than one study needed. 1 Additional research questions can be developed, but several basic principles should be taken into consideration. 1 All questions, primary and secondary, should be developed at the beginning and planning stages of a study. Any additional questions should never compromise the primary question because it is the primary research question that forms the basis of the hypothesis and study objectives. It must be kept in mind that within the scope of one study, the presence of a number of research questions will affect and potentially increase the complexity of both the study design and subsequent statistical analyses, not to mention the actual feasibility of answering every question. 1 A sensible strategy is to establish a single primary research question around which to focus the study plan. 3 In a study, the primary research question should be clearly stated at the end of the introduction of the grant proposal, and it usually specifies the population to be studied, the intervention to be implemented and other circumstantial factors. 4
Hulley and colleagues 2 have suggested the use of the FINER criteria in the development of a good research question ( Box 1 ). The FINER criteria highlight useful points that may increase the chances of developing a successful research project. A good research question should specify the population of interest, be of interest to the scientific community and potentially to the public, have clinical relevance and further current knowledge in the field (and of course be compliant with the standards of ethical boards and national research standards).
Feasible | ||
Interesting | ||
Novel | ||
Ethical | ||
Relevant |
Adapted with permission from Wolters Kluwer Health. 2
Whereas the FINER criteria outline the important aspects of the question in general, a useful format to use in the development of a specific research question is the PICO format — consider the population (P) of interest, the intervention (I) being studied, the comparison (C) group (or to what is the intervention being compared) and the outcome of interest (O). 3 , 5 , 6 Often timing (T) is added to PICO ( Box 2 ) — that is, “Over what time frame will the study take place?” 1 The PICOT approach helps generate a question that aids in constructing the framework of the study and subsequently in protocol development by alluding to the inclusion and exclusion criteria and identifying the groups of patients to be included. Knowing the specific population of interest, intervention (and comparator) and outcome of interest may also help the researcher identify an appropriate outcome measurement tool. 7 The more defined the population of interest, and thus the more stringent the inclusion and exclusion criteria, the greater the effect on the interpretation and subsequent applicability and generalizability of the research findings. 1 , 2 A restricted study population (and exclusion criteria) may limit bias and increase the internal validity of the study; however, this approach will limit external validity of the study and, thus, the generalizability of the findings to the practical clinical setting. Conversely, a broadly defined study population and inclusion criteria may be representative of practical clinical practice but may increase bias and reduce the internal validity of the study.
Population (patients) | ||
Intervention (for intervention studies only) | ||
Comparison group | ||
Outcome of interest | ||
Time |
A poorly devised research question may affect the choice of study design, potentially lead to futile situations and, thus, hamper the chance of determining anything of clinical significance, which will then affect the potential for publication. Without devoting appropriate resources to developing the research question, the quality of the study and subsequent results may be compromised. During the initial stages of any research study, it is therefore imperative to formulate a research question that is both clinically relevant and answerable.
The primary research question should be driven by the hypothesis rather than the data. 1 , 2 That is, the research question and hypothesis should be developed before the start of the study. This sounds intuitive; however, if we take, for example, a database of information, it is potentially possible to perform multiple statistical comparisons of groups within the database to find a statistically significant association. This could then lead one to work backward from the data and develop the “question.” This is counterintuitive to the process because the question is asked specifically to then find the answer, thus collecting data along the way (i.e., in a prospective manner). Multiple statistical testing of associations from data previously collected could potentially lead to spuriously positive findings of association through chance alone. 2 Therefore, a good hypothesis must be based on a good research question at the start of a trial and, indeed, drive data collection for the study.
The research or clinical hypothesis is developed from the research question and then the main elements of the study — sampling strategy, intervention (if applicable), comparison and outcome variables — are summarized in a form that establishes the basis for testing, statistical and ultimately clinical significance. 3 For example, in a research study comparing computer-assisted acetabular component insertion versus freehand acetabular component placement in patients in need of total hip arthroplasty, the experimental group would be computer-assisted insertion and the control/conventional group would be free-hand placement. The investigative team would first state a research hypothesis. This could be expressed as a single outcome (e.g., computer-assisted acetabular component placement leads to improved functional outcome) or potentially as a complex/composite outcome; that is, more than one outcome (e.g., computer-assisted acetabular component placement leads to both improved radiographic cup placement and improved functional outcome).
However, when formally testing statistical significance, the hypothesis should be stated as a “null” hypothesis. 2 The purpose of hypothesis testing is to make an inference about the population of interest on the basis of a random sample taken from that population. The null hypothesis for the preceding research hypothesis then would be that there is no difference in mean functional outcome between the computer-assisted insertion and free-hand placement techniques. After forming the null hypothesis, the researchers would form an alternate hypothesis stating the nature of the difference, if it should appear. The alternate hypothesis would be that there is a difference in mean functional outcome between these techniques. At the end of the study, the null hypothesis is then tested statistically. If the findings of the study are not statistically significant (i.e., there is no difference in functional outcome between the groups in a statistical sense), we cannot reject the null hypothesis, whereas if the findings were significant, we can reject the null hypothesis and accept the alternate hypothesis (i.e., there is a difference in mean functional outcome between the study groups), errors in testing notwithstanding. In other words, hypothesis testing confirms or refutes the statement that the observed findings did not occur by chance alone but rather occurred because there was a true difference in outcomes between these surgical procedures. The concept of statistical hypothesis testing is complex, and the details are beyond the scope of this article.
Another important concept inherent in hypothesis testing is whether the hypotheses will be 1-sided or 2-sided. A 2-sided hypothesis states that there is a difference between the experimental group and the control group, but it does not specify in advance the expected direction of the difference. For example, we asked whether there is there an improvement in outcomes with computer-assisted surgery or whether the outcomes worse with computer-assisted surgery. We presented a 2-sided test in the above example because we did not specify the direction of the difference. A 1-sided hypothesis states a specific direction (e.g., there is an improvement in outcomes with computer-assisted surgery). A 2-sided hypothesis should be used unless there is a good justification for using a 1-sided hypothesis. As Bland and Atlman 8 stated, “One-sided hypothesis testing should never be used as a device to make a conventionally nonsignificant difference significant.”
The research hypothesis should be stated at the beginning of the study to guide the objectives for research. Whereas the investigators may state the hypothesis as being 1-sided (there is an improvement with treatment), the study and investigators must adhere to the concept of clinical equipoise. According to this principle, a clinical (or surgical) trial is ethical only if the expert community is uncertain about the relative therapeutic merits of the experimental and control groups being evaluated. 9 It means there must exist an honest and professional disagreement among expert clinicians about the preferred treatment. 9
Designing a research hypothesis is supported by a good research question and will influence the type of research design for the study. Acting on the principles of appropriate hypothesis development, the study can then confidently proceed to the development of the research objective.
The primary objective should be coupled with the hypothesis of the study. Study objectives define the specific aims of the study and should be clearly stated in the introduction of the research protocol. 7 From our previous example and using the investigative hypothesis that there is a difference in functional outcomes between computer-assisted acetabular component placement and free-hand placement, the primary objective can be stated as follows: this study will compare the functional outcomes of computer-assisted acetabular component insertion versus free-hand placement in patients undergoing total hip arthroplasty. Note that the study objective is an active statement about how the study is going to answer the specific research question. Objectives can (and often do) state exactly which outcome measures are going to be used within their statements. They are important because they not only help guide the development of the protocol and design of study but also play a role in sample size calculations and determining the power of the study. 7 These concepts will be discussed in other articles in this series.
From the surgeon’s point of view, it is important for the study objectives to be focused on outcomes that are important to patients and clinically relevant. For example, the most methodologically sound randomized controlled trial comparing 2 techniques of distal radial fixation would have little or no clinical impact if the primary objective was to determine the effect of treatment A as compared to treatment B on intraoperative fluoroscopy time. However, if the objective was to determine the effect of treatment A as compared to treatment B on patient functional outcome at 1 year, this would have a much more significant impact on clinical decision-making. Second, more meaningful surgeon–patient discussions could ensue, incorporating patient values and preferences with the results from this study. 6 , 7 It is the precise objective and what the investigator is trying to measure that is of clinical relevance in the practical setting.
The following is an example from the literature about the relation between the research question, hypothesis and study objectives:
Study: Warden SJ, Metcalf BR, Kiss ZS, et al. Low-intensity pulsed ultrasound for chronic patellar tendinopathy: a randomized, double-blind, placebo-controlled trial. Rheumatology 2008;47:467–71.
Research question: How does low-intensity pulsed ultrasound (LIPUS) compare with a placebo device in managing the symptoms of skeletally mature patients with patellar tendinopathy?
Research hypothesis: Pain levels are reduced in patients who receive daily active-LIPUS (treatment) for 12 weeks compared with individuals who receive inactive-LIPUS (placebo).
Objective: To investigate the clinical efficacy of LIPUS in the management of patellar tendinopathy symptoms.
The development of the research question is the most important aspect of a research project. A research project can fail if the objectives and hypothesis are poorly focused and underdeveloped. Useful tips for surgical researchers are provided in Box 3 . Designing and developing an appropriate and relevant research question, hypothesis and objectives can be a difficult task. The critical appraisal of the research question used in a study is vital to the application of the findings to clinical practice. Focusing resources, time and dedication to these 3 very important tasks will help to guide a successful research project, influence interpretation of the results and affect future publication efforts.
FINER = feasible, interesting, novel, ethical, relevant; PICOT = population (patients), intervention (for intervention studies only), comparison group, outcome of interest, time.
Competing interests: No funding was received in preparation of this paper. Dr. Bhandari was funded, in part, by a Canada Research Chair, McMaster University.
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A research objective, also known as a goal or an objective, is a sentence or question that summarizes the purpose of your study or test. In other words, it’s an idea you want to understand deeper by performing research. Objectives should be the driving force behind every task you assign and each question that you ask. These objectives should be centered on specific features or processes of your product. By having a solid understanding of the information you need when running your usability study, you’ll be able to better stay on track throughout your development process.
Before you write your objective, you need a problem statement , which you can source from your support team and the frequent customer issues they encounter, negative customer reviews , or feedback from social media. From there, your objective might look like, “Do people find value in this new product idea?” or “How do our competitors describe their offerings compared to us?”
Many UX researchers agree that the more specific the objectives, the easier it is to write tasks and questions. Subsequently, it’ll also be easier to extract answers later on in the analysis. In addition, your objective doesn’t have to spark one angle alone; it could have the potential to inspire multiple test directions. For instance, take this research objective, “I want to understand and resolve the barriers customers face when looking for answers about products and services on our website.”
From this one objective, potential study angles could be:
As you can see, the above objective can be branched out to address content, usability, and design. For further inspiration, collaborate with the product’s stakeholders. You can start the conversation at a high level by determining what features or processes they want test participants to review, like a navigation menu or website messaging.
And before you put a stamp of approval on a research objective, ask for feedback from your team. Two researchers could write very different test plans when an objective is unclear or misaligned. For example, one researcher may hone in on design while another focuses on usability. Meanwhile, another may keep their objective more broad while another writes on that’s more detailed. And while the findings from either case would be insightful, they might not match up with what the team actually needs to learn. So to summarize, start the process with a problem statement, loop in stakeholders early if applicable, and ensure your team is aligned on your objective(s).
Writing and refining your research objective should come after you have a clear problem statement and before you decide on a research method and test plan to execute your study.
After you’ve written a rough draft of your research objective, the ink might not even be dry when stakeholders could get involved by offering you an abundance of objectives. To figure out what to tackle first, ask your stakeholders to prioritize their needs. This step could happen via email or in a meeting, but another method could be to list out all of the possible objectives in a Google form and have everyone rearrange the list into their ideal order.
And if stakeholders haven’t handed you a list of objectives and you’re on your own for brainstorming and prioritizing, opt for the objective that’s tied to a KPI—from increasing website conversions to driving more daily active users in your SaaS product. This will help you size up the relevance and impact your research has on the metrics your business is measuring. The added benefit here is when you’re asked about the impact of that research, you can tie back your ROI calculations to tangible and relatable objectives that you know the business is tracking.
The type of research you do will depend on the stage of product development you’re in. Each stage of development has different research objectives—and different questions that need to be answered. And once you’ve decided on a problem statement, you could either have one or multiple research objectives that tie back to that statement. Typically, this means that you’ll want to select one to three objectives; the less you have, the more manageable your test (and timeline) will be.
For more, the UserTesting template library is a great place to start for common questions that you need answers to or inspiration for your research objective.
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Methodology
Published on May 15, 2019 by Shona McCombes . Revised on June 22, 2023.
Descriptive research aims to accurately and systematically describe a population, situation or phenomenon. It can answer what , where , when and how questions , but not why questions.
A descriptive research design can use a wide variety of research methods to investigate one or more variables . Unlike in experimental research , the researcher does not control or manipulate any of the variables, but only observes and measures them.
When to use a descriptive research design, descriptive research methods, other interesting articles.
Descriptive research is an appropriate choice when the research aim is to identify characteristics, frequencies, trends, and categories.
It is useful when not much is known yet about the topic or problem. Before you can research why something happens, you need to understand how, when and where it happens.
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Descriptive research is usually defined as a type of quantitative research , though qualitative research can also be used for descriptive purposes. The research design should be carefully developed to ensure that the results are valid and reliable .
Survey research allows you to gather large volumes of data that can be analyzed for frequencies, averages and patterns. Common uses of surveys include:
Observations allow you to gather data on behaviours and phenomena without having to rely on the honesty and accuracy of respondents. This method is often used by psychological, social and market researchers to understand how people act in real-life situations.
Observation of physical entities and phenomena is also an important part of research in the natural sciences. Before you can develop testable hypotheses , models or theories, it’s necessary to observe and systematically describe the subject under investigation.
A case study can be used to describe the characteristics of a specific subject (such as a person, group, event or organization). Instead of gathering a large volume of data to identify patterns across time or location, case studies gather detailed data to identify the characteristics of a narrowly defined subject.
Rather than aiming to describe generalizable facts, case studies often focus on unusual or interesting cases that challenge assumptions, add complexity, or reveal something new about a research problem .
If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.
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Inquiry-based learning (IBL) is a type of problem-based learning. While IBL aims at reflecting the work of practicing researchers, only some students will pursue an academic career. We therefore designed a course that provides opportunities for IBL by applying participant observation to internship work experience inside and outside academia. Using this internship course as an example, we investigated, how master’s students in health science executed an IBL assignment regarding the application of participant observation and presentation of findings. In addition, the understanding of occupational fields provided through the IBL assignment was examined.
To determine whether learning objectives were met, a document analysis of IBL assignments comprising presentation slides and field protocols was performed. Within content analysis, a category grid was used examining (a) suitability of chosen research objectives , (b) execution of field protocols , (c) sufficiency of reporting and (d) extent of reflection .
49 IBL assignments from the years 2020–2022 were included. Sides of IBL observations were: (a) organizations providing health care ( n = 28); (b) administrations of health care ( n = 8); and (c) research institutes ( n = 13). Within students’ field protocols, the level of detail of descriptions differed. 30 assignments included reflection on the methods used and research experience. In about a third of IBL assignments, indication of observation type, theoretical background and data analysis was missing.
Using participant observation of internship work-experience for IBL can serve as a teaching tool for students to develop methodological skills. For future courses, we developed a checklist to strengthen reporting, reflection and use of theory. As internships are often integrated in degree programs in health sciences similar courses could be implemented in different programs, given qualified methodological guidance.
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IBL is a type of problem-based learning in which students apply methods comparable to those of professional researchers in the respective field [ 1 ]. Across disciplines, inquiry-based learning (IBL) is considered an effective way for students to learn through self-directed investigation. Students take an active role while teachers primarily serve as facilitators rather than traditional lecturers. As a basic principle, IBL requires a learning environment that divides the scientific process into smaller units to guide students and draw their attention to specific aspects of scientific thinking. Depending on intended learning outcomes, students’ skills and interests as well as curricula requirements, formats might vary regarding suitable topics’ suitability, comprehensiveness of the learning tasks, teachers’ guidance’ and students’ autonomy (e.g. regarding provision of questions, methods and materials) [ 2 , 3 , 4 ]. In higher education, IBL has been shown to be beneficial for developing students’ inquiry skills and for improving their engagement, motivation and performance [ 5 ]. In addition, it helps students to develop skills for working in complex and unpredictable environments, enhancing critical thinking, [ 6 , 7 ]. However, despite the benefits of using IBL, it is still relatively uncommon in higher education [ 5 ].
While IBL aims at reflecting the work of practicing researchers, only some students in health-related courses will pursue an academic career. Work experience, in contrast, aims at applying academic skills to real world work settings offering students insights for the remaining studies and preparing them for the job market after graduation. Participant observation as an ethnographic method based on field work can serve as a method providing both: (a) an opportunity to apply research methods and (b) establish an in-depth understanding of occupational fields. Overall, within health sciences, the potential of participant observation is being increasingly discussed, stressing the benefits to investigate on actual practice itself, instead of indirect questionnaire or interview-accounts, [ 8 , 9 ]. In addition, ethnographic methods can contribute to narrowing the distance between theoretical knowledge and everyday practice in health service research [ 10 ]. Traditionally associated with lengthy presence and intense participation in day-to-day-life to gain holistic insights into the habits of a collective, within health sciences ethnographic data collection is often condensed to gain insights in specific sites or situations [ 11 , 12 ].
Besides general characteristics of scientific practice, learning objectives of IBL assignments based on participant observation have to address specific methodological features: Based on research literature and experience, the following learning objectives can be defined: (a) Research objectives: Participant observation is suitable for research projects seeking to understand participants’ behaviour, interactions and practices in particular situations. It requires settings where direct observations and some degree of participation are sensible. (b) Field protocols: Sound results presume field notes comprising thorough documentation with detailed accounts, separation of description and interpretation and continuing reflection. (c) Presentation of results: These aspects have to be sufficiently reported. (d) Reflection: Reflection of research experience is an inherent part of both IBL and participant observation. For these learning objectives to be met, they have to be aligned with teaching and learning activities and assessment tasks (constructive alignment) [ 13 ].
Using an internship course of a masters’ program in health services research as an example, we aimed to analyze how students executed an IBL assignment with regards to the application of participant observation and presentation of findings. In addition, we aimed to examine the understanding of occupational fields provided through the IBL assignment.
Reflecting the explorative nature of the research aim, a qualitative research design was chosen comprising a document analysis of exam presentation slides and corresponding field protocols. Documents created as part of an educational process can provide empirical insights into the learning experience [ 14 ]. Our analysis is based on exam papers as anonymized aggregated data. The study aims at improving the quality of teaching and learning. With enrolment, students confirm in writing, that study data can be used for administrative and evaluative purposes. In additionethics approval for this study was granted by the Ethics Committee of the Medical Faculty of Heidelberg, Germany (S012/2016). Methods were reported according to the Checklist for the use and reporting of document analysis in health professions education research (CARDA) [ 14 ].
All IBL assignments handed in by students after 2020 were eligible for inclusion, as the curriculum was modified in 2019. Initially collected within the study program for quality management purposes, all data were electronically filed and stored on secure servers at the Department of General Practice and Health Services Research, Heidelberg University Hospital, Germany.
Data analysis focused on content using a category grid reflecting learning objectives and general internship characteristics. This deductive approach of allocating data to pre-identified themes was complemented by inductively adding sub-themes throughout data analysis. To determine whether learning objectives were met, we examined; (a) suitability of chosen research objectives in terms of observable (inter)actions, (b) execution of field protocols in terms of detail and separation of description and analysis, (c) sufficiency of presentation in terms of reporting as well as (d) extent of reflection in terms of internship and research experience. Data were analyzed by three researchers (AA, NK, CU), with prior experience in qualitative methods. Derived themes were discussed and consented regularly within the research team (AA, NK, CU, SZ). Extracted data were analyzed and reported as absolute frequencies. The software package MAXQDA, Analytics Pro 2020 was used for data management and to facilitate coding. No automation or AI tools were used.
The IBL course, which is offered each year and was first taught in 2016, was designed for a master’s degree program in health services research and implementation science at Heidelberg University, Germany. The consecutive master’s program comprises two academic years, corresponding to 120 ECTS credit points (CP), which are equivalent to 3600 h of total student workload. The goal of the master’s degree is to train students at an advanced level of health sciences including empirical research methods. A bachelor’s degree from within health science and a proof of basic skills (180 h/6 CP) in research methods are required for entering the master’s program. However, at the time of entering the program, skills in qualitative research varied and were almost exclusively limited to qualitative interviews. The masters’ program accepts 20 students per year. About 1/3 of the students are trained within a health care profession.
Objectives of the course, which was designed as both an internship accompanying seminar and IBL course, were: (a) providing an opportunity to learn research skills in using (participant) observation as a qualitative research method and (b) establishing an in-depth understanding of occupational fields in health care.
The IBL course was taught by three teachers with a background in health services research and interdisciplinary anthropology (SZ), psychology (NK) and sociology (CU) respectively. Participant observations was introduced in a mandatory 90-minute class (SZ) highlighting its historical origin within anthropology, basic ideas of ethnography, characteristics and reach of participant observation. For writing up field notes towards field protocols, a three-column chart was recommended to distinguish observations and analysis, comprising a) a detailed description of observations, b) analytical notes , documenting the reactions, questions, interpretations and ideas of the researcher c) themes/codes derived from a first round of open coding. Prompts for fieldnotes (e.g., description of situations and participants’, communication styles) and examples for the three-column chart were provided.
The IBL course comprises a 7-week-long work placement accompanied by on-going monthly complementary classes. The total course credit sums up to 12 CP (360 h) including: (a) 280 h internship (b) attending four mandatory classes including the introduction, (c) assignments of keeping a field diary and documentation of three observations and (d) exam: 10–15 min oral presentation and following discussion (see Table 1 ). Students were asked to meet up with one of the teachers at least once to determine a suitable research focus. The course was designed as a pass-fail course; therefore, no mark was given.
In total, 49 IBL assignments from four cohorts (defined by the year students were enrolled in the master’s program) of the years 2020–2022 were included (see Table 2 ). This corresponds to all presentations held during that time. Within two assignments field protocols were missing. Nonetheless, these could be included in the analysis, since the presentations comprised sufficient extracts of the field protocols. Variation in numbers of course participants were related to part-time students. Presentations typically included 15 slides, field protocols on average two to four pages per observation. All presentations and field protocols were in German, the main language of instruction within the master’s program. Of the students providing the presentation, five of the 49 were male and about a third had a professional background in health care, mirroring the general characteristics of the student population. Internship length was 140 to 280 h, either fulfilled over three to eight weeks full-time or part-time over a period of several months.
For the IBL assignment, most students selected internship experience ( n = 40); the remaining students ( n = 9) selected their professional employment in health care. Work places were (a) organizations providing health care ( n = 28), including nursing homes ( n = 2) and hospitals ( n = 26), of which 22 were university hospitals; (b) other organizations in health care ( n = 8), such as government departments and health insurances and (c) research institutes ( n = 13), mostly universities ( n = 8). The focus of work experiences reflected these employer types to some extent: Most students were mainly involved in research activities ( n = 31), such as literature reviews, developing questionnaires and interview guides, data analysis and overall research management. Some students ( n = 5) were involved in academic teaching, mainly in the role of (assistant) teachers. Provision of health care ( n = 4) included assisting nursing and patient involvement. Administrative tasks ( n = 8) included preparation of meetings and reports, often based on literature research.
A research objective was specified in all presentations, most addressed either communication in videoconferences, e.g., concerning active participation or technical difficulties ( n = 14) or some aspect of research practice ( n = 11), e.g., conducting interviews. Further objectives included patient care ( n = 7), teaching ( n = 4) and handling of Covid-19 regulations ( n = 4) (see Table 3 : section A). Observation settings were largely either virtual ( n = 20) or face-to-face meetings ( n = 23), with two observations of telephone conversation and four with mixed settings. Research participants varied and often included a mix of people: Researchers were observed most often ( n = 29), followed by health care providers ( n = 16) and patients/relatives ( n = 11). In 35 cases, observing students included themselves in the descriptions.
Most protocolled observations within reports included room description ( n = 45), most contained direct quotes ( n = 42), some used description of persons ( n = 12) and a few comprised sketches and/or pictures of places observed ( n = 4) (see Table 3 : section B). Overall, detail of description varied, ranging from rather abstract monosyllabic reports with little situation-specific portrayal to comprehensive, in-depth reports with lively accounts. Within all reports ( n = 49), anonymization was used, primarily employing pseudonyms for people observed. However, the degree of anonymization differed, some omitting indicating professions, gender and employment titles and some masking identifying characteristics of employers. While anonymization did not limit documenting observation within most reports, observations were reduced to mere generic enumeration of events in a few exceptional ones. For structuring field protocols all students used the suggested columns to separate observations and analytical notes ( n = 49). All but one also included the third column on emerging codes and themes. The level of detail within columns and accuracy of separation differed.
All IBL assignments included a description of the characteristics of the employer and information on the work activities ( n = 49) (see Table 3 : section C). Most presentations ( n = 39) included literature-based background informationon communication and use of online meetings ( n = 16), challenges in health care ( n = 7), good research practice and scientific integrity ( n = 7), organization and management ( n = 5) or the impact of Covid-19 regulations ( n = 2). Some students explicitly listed theoretical concepts used ( n = 15), which were mostly communication or organizational theories.
Most ( n = 39) presentations included a description of data conduction: The majority was based on participant observation ( n = 30), often using open observation ( n = 16). Overall, methods of data analysis were sparsely reported ( n = 34): General description of data analysis without references to theoretical or methodological schools or authors ( n = 16) usually shortly indicated whether themes/codes were derived inductively and/or deductively. For describing methods of data conduction and data analysis, recommended readings of the IBL course ( n = 18) and/or the overall master’s’ course ( n = 14) were often used. 27 did not refer to methodological literature at all.
All presentations ( n = 49) included some kind of conclusion addressing results, reflections and/or recommendations. Most students discussed their observations on the content level ( n = 34) providing primarily neutral descriptions. This was discernible when students were reporting on “general conditions, settings and factors” ( n = 11) or “factors influencing virtual and face-to-face meetings” ( n = 10). Many students addressed the meaning of their findings in relation to the observed participants ( n = 19) and stated that certain communication strategies ( n = 7) or coping strategies and leadership behavior ( n = 6) could be instructive for them at future work places. Only the minority of students discussed their results on a personal level ( n = 7), and most of them valued the internship combined with the participant observation assessment as an exciting and stimulating experience ( n = 4) which made them aware of new career prospects ( n = 2). Only one student reported that she experienced the internship as a “one-sided activity” ( n = 1).
Reflection on the methods and research experience were part of most presentations ( n = 30) (see Table 3 : section D). Predominantly mentioned topics were observer roles, field access and participants’ consent. The first topic ( n = 23) included problematizations of observing while participating and the risk of overidentifying with observed people’s perspectives (“going native”) as well as observer bias due to previous experience within the field. Additionally, students saw challenges in cases where they perceived that there were too many or too few people and/or interactions accessible for observation. Field access and identification of observable situations ( n = 12) largely referred to limitations within home-office-settings and online-meetings. Reflections on informed consent ( n = 10) addressed the extent of consent, e.g., when, and how many times the student’s own role as researcher should be thematized, whom to inform, and how to handle confidentiality agreements regarding internship content. In addition, some students reflected on difficulties in determining a research focus ( n = 5).
The objective of the IBL assignment and reflection of the internship experience point to an in-depth understanding of the studied participants’ perspectives. In addressing communication and work-culture, participant observation allowed students to investigate how everyday experiences are shaped by institutional contexts. This confirms results of a study on patient shadowing as a teaching tool in premedical undergraduate education [ 17 ] and findings of a participant observations exercise within a medical students’ course on health care for refugees [ 18 ]. This highlights the potential of observations as a data collection method to understand often tacit and hidden rules that influence health care, as it is currently thematized under the term “institutional ethnography” [ 19 , 20 ].
All students embraced the IBL assignment of using participant observation taking up recommended readings and suggested strategies, e.g., the three-column chart, writing a detailed, concrete description and using direct quotes for more vividness. Students addressed significant methodological topics in ethnographic research, such as finding a focus, field access, the observer role and participants’ consent. However, reporting on some methodological aspects was incomplete: Most notably, about a third of the IBL assignments lacked indication of observation type, theoretical background and strategy of data analysis. These results show parallels to findings on reporting quality in the health sciences [ 21 , 22 ] and, in particular, difficulties regarding data analysis and relation to theory [ 23 ].
A meta-analysis of 72 studies suggested that adequate guidance to assist learners is essential to successful inquiry-based learning [ 2 ]. At the same time, there is a need to create a learning environment that allows the freedom to examine a topic independently [ 1 , 5 ]. The discussed assignment was limited to a section of the research process, focusing on formulating an initial research question, documenting three singular observations and reporting of first findings. Students were provided an introductory course, counseling and methodological prompts and references. Completed assignments and students’ feedback suggest that scope, time frame and workload of the assignment were suitable and guidance concerning field protocols sufficient. However, guidance regarding content of the presentation should be specified, highlighting reporting, reflection and the use of theoretical knowledge. Based on these noted discrepancies with recommended research practices and teaching objectives, we developed a checklist for future sources for students as a scaffold to address these topics more explicitly (see supplementary material 1 ) [ 24 ].
This study was limited to one masters’ program only; however, the diverse students’ backgrounds and skills, point to transferability of results. Data of this study were limited to written assignments, wherefore, additional aspects only presented orally were not included. From our experience, discussions in class were often more direct in addressing good scientific practice and work culture. Feedback from teachers often highlighted methodological reflections and the importance of separating normative evaluation from the description. The course was designed as a pass-fail course without specific grades. This setup could have influenced students’ performance either by allowing more freedom and self-direction or by limiting motivation and effort. Additionally, most students took the IBL course as one of the last assignments of the master’s program, often parallel to starting the master’s thesis. This, too, could have influenced motivation and performance.
Our study has shown, that the use of participant observation is not restricted to learning a scientific practice in a narrow sense. It can also provide students a better understanding of organizational culture and hierarchies of potential future work places within and beyond an academic career in health care. Participant observation is a flexible research strategy which is highly adaptable to (changing) research objectives and field settings – within IBL it is also adaptable concerning comprehensiveness of the learning task. As internships are often an inherent part of degree programs in health sciences, given qualified methodological guidance, similar courses could be implemented in other educational programs.
The data that support the findings of this study are available from the corresponding author upon reasonable request.
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Pedaste M, Mäeots M, Siiman LA, de Jong T, van Riesen SAN, Kamp ET, Tsourlidaki E. Phases of inquiry-based learning: definitions and the inquiry cycle. Educational Res Rev. 2015;14:47–61. https://doi.org/10.1016/j.edurev.2015.02.003 .
Article Google Scholar
Lazonder AW, Harmsen R. Meta-analysis of Inquiry-based learning: effects of Guidance. Rev Educ Res. 2016;86(3):681–718. https://doi.org/10.3102/0034654315627366 .
Willison J. Research skill development spanning higher education: critiques, curricula and connections. J Univ Teach Learn Pract. 2018;15:2–16. https://doi.org/10.53761/1.15.4.1 .
Willison J, Peirce E, Al-Sarawi S, Donnelly F, Ricci M, Ng B. Handbook for research skill development and assessment in the curriculum. University of Adelaide; 2020.
Kori K. Inquiry-based learning in Higher Education. In: Vaz C, de Carvalho, Bauters M, editors. Technology supported active learning: student-centered approaches. Singapore: Springer Singapore; 2021. pp. 59–74.
Chapter Google Scholar
Suárez Á, Specht M, Prinsen F, Kalz M, Ternier S. A review of the types of mobile activities in mobile inquiry-based learning. Comput Educ. 2018;118:38–55. https://doi.org/10.1016/j.compedu.2017.11.004 .
Fan JY, Ye JH. The effectiveness of inquiry and practice during roject design courses at a technology university. Front Psychol. 2022;13:859164. https://doi.org/10.3389/fpsyg.2022.859164 .
Cupit C, Mackintosh N, Armstrong N. Using ethnography to study improving healthcare: reflections on the ‘ethnographic’ label. BMJ Qual Saf. 2018. https://doi.org/10.1136/bmjqs-2017-007599 .
Dixon-Woods M. What can ethnography do for quality and safety in health care? Qual Saf Health Care. 2003;12(5):326–7. https://doi.org/10.1136/qhc.12.5.326 .
Cubellis L, Schmid C, von Peter S. Ethnography in Health Services Research: Oscillation between Theory and Practice. Qual Health Res. 2021;31(11):2029–40. https://doi.org/10.1177/10497323211022312 .
Cruz EV, H. G. The use of focused ethnography in nursing research. Nurse Res. 2013;20(4):36–43.
Vindrola-Padros C, Vindrola-Padros B. Quick and dirty? A systematic review of the use of rapid ethnographies in healthcare organisation and delivery. BMJ Qual Saf. 2018;27(4):321–30.
Biggs J, Tang C, Kennedy G. Teaching for Quality Learning at University. Berkshire: Open University Press/McGraw Hill; 2023.
Google Scholar
Cleland J, MacLeod A, Ellaway RH. CARDA: guiding document analyses in health professions education research. Med Educ. 2023;57(5):406–17. https://doi.org/10.1111/medu.14964 . Epub 2022 Nov 17. PMID: 36308050.
Emerson RM, Fretz RI, Shaw LL. Writing ethnographic fieldnotes. ed.). Chicago [u.a.]: Univ. of Chicago Pr; 2011. ([2nd publ.].
Book Google Scholar
Girtler R. (2001). Methoden der Feldforschung (4., völlig neu bearb. Aufl. ed.). Wien; Köln; Weimar: Böhlau.
Wilson JW, Baer RD, Villalona S. (2019). Patient shadowing: a useful Research Method, Teaching Tool, and Approach to Student Professional Development for Premedical undergraduates. Acad Med, 94 (11).
Ziegler S, Wahedi K, Stiller M, Jahn R, Straßner C, Schwill S, Bozorgmehr K. Health and medical care for refugees: design and evaluation of a multidisciplinary clinical elective for medical students. GMS J Med Educ. 2021;38(2):Doc39. https://doi.org/10.3205/zma001435 .
Balcom S, Doucet S, Dubé A. Observation and unstitutional ethnography: helping us to see better. Qual Health Res. 2021;31(8):1534–41. https://doi.org/10.1177/10497323211015966 .
Sinding C. Using Institutional Ethnography to understand the production of Health Care disparities. Qual Health Res. 2010;20(12):1656–63. https://doi.org/10.1177/1049732310377452 .
Malterud K, Hamberg K, Reventlow S. Qualitative methods in PhD theses from general practice in Scandinavia. Scand J Prim Health Care. 2017;35(4):309–12. https://doi.org/10.1080/02813432.2017.1397257 .
Ullrich C, Stürmlinger A, Wensing M, Krug K. Qualitative research methods in medical dissertations: an observational methodological study on prevalence and reporting quality of dissertation abstracts in a German university. BMC Med Res Methodol. 2020;20(1):301.
Wright MC. Making sense of data: how Public Health Graduate Students Build Theory through qualitative research techniques. Qual Health Res. 2007;17(1):94–101. https://doi.org/10.1177/1049732306294296 .
O’Brien BC, Harris IB, Beckman TJ, Reed DA, Cook DA. Standards for reporting qualitative research: a synthesis of recommendations. Acad Med. 2014;89(9):1245–51. https://doi.org/10.1097/acm.0000000000000388 .
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The authors would like to thank Lara Cordes (LC) for contribution to a first draft for data extraction themes in an early phase of the study.
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Charlotte Ullrich, Sandra Ziegler, Alicia Armbruster, Michel Wensing & Nadja Klafke
Department of General Practice and Health Services Research, Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany
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NK and CU drafted and prepared the manuscript, AA, MW and SZ provided substantial comments at different stages of the manuscript. MW is the head, CU the coordinator of the master’s program in health services research and implementation science at Heidelberg University, Germany. NK, CU and SZ jointly teach the IBL-course within this program, with SZ teaching the introductory class on ethnographic methods. All three designed this study. AA, LC, NK, CU and SZ collaborated on planning the data analysis. AA supported data management. AA, NK, and CU reviewed, extracted and analyzed the data. All authors read and approved the final manuscript.
Correspondence to Charlotte Ullrich .
Ethical approval and consent to participate.
Approval for the study was obtained from the Ethics Committee of the Medical Faculty of Heidelberg University Hospital, Germany (S012/2016). With enrolment, students confirm informed in writing that study data can be used for administrative and evaluative purposes. As this study aims at improving quality of teaching and is based on exam papers, a waiver for additional informed consent was granted. Any information with the potential to identify individuals has been anonymized.
There are no conflicts of interest to disclose.
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The authors declare no competing interests.
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Ullrich, C., Ziegler, S., Armbruster, A. et al. Participant observation for inquiry-based learning: a document analysis of exam papers from an internship-course for master’s students in health services research in Germany. BMC Med Educ 24 , 1033 (2024). https://doi.org/10.1186/s12909-024-05740-4
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Received : 07 August 2023
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Published : 23 September 2024
DOI : https://doi.org/10.1186/s12909-024-05740-4
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Example: Research aim. To examine contributory factors to muscle retention in a group of elderly people. Example: Research objectives. To assess the relationship between sedentary habits and muscle atrophy among the participants. To determine the impact of dietary factors, particularly protein consumption, on the muscular health of the ...
Formulating research objectives has the following five steps, which could help researchers develop a clear objective: 8. Identify the research problem. Review past studies on subjects similar to your problem statement, that is, studies that use similar methods, variables, etc.
Research Objectives. Research objectives refer to the specific goals or aims of a research study. They provide a clear and concise description of what the researcher hopes to achieve by conducting the research.The objectives are typically based on the research questions and hypotheses formulated at the beginning of the study and are used to guide the research process.
A research objective is defined as a clear and concise statement of the specific goals and aims of a research study. It outlines what the researcher intends to accomplish and what they hope to learn or discover through their research. Research objectives are crucial for guiding the research process and ensuring that the study stays focused and ...
Research objectives are clear and concise statements that outline what you aim to achieve through your study. They are the foundation for determining your research scope, guiding your data collection methods, and shaping your analysis. The purpose of research proposal and setting clear objectives in it is to ensure that your research efforts ...
The objectives provide a clear direction and purpose for the study, guiding the researcher in their data collection and analysis. Here are some tips on how to write effective research objective: 1. Be clear and specific. Research objective should be written in a clear and specific manner.
Research objectives are how researchers ensure that their study has direction and makes a significant contribution to growing an industry or niche. Research objectives provide a clear and concise statement of what the researcher wants to find out. As a researcher, you need to clearly outline and define research objectives to guide the research ...
Research Aims: Examples. True to the name, research aims usually start with the wording "this research aims to…", "this research seeks to…", and so on. For example: "This research aims to explore employee experiences of digital transformation in retail HR.". "This study sets out to assess the interaction between student ...
Summary. One of the most important aspects of a thesis, dissertation or research paper is the correct formulation of the aims and objectives. This is because your aims and objectives will establish the scope, depth and direction that your research will ultimately take. An effective set of aims and objectives will give your research focus and ...
To develop a set of research objectives, you would then break down the various steps involved in meeting said aim. For example: This study will investigate the link between dehydration and the incidence of urinary tract infections (UTIs) in intensive care patients in Australia. To achieve this, the study objectives w ill include:
A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement, before your research objectives. Research objectives are more specific than your research aim. They indicate the specific ways you'll address the overarching aim.
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Examples of Specific Research Objectives: 1. "To examine the effects of rising temperatures on the yield of rice crops during the upcoming growth season.". 2. "To assess changes in rainfall patterns in major agricultural regions over the first decade of the twenty-first century (2000-2010).". 3.
The research aim should be broad and concise. Develop research objectives: Based on your research questions and research aim, develop specific research objectives that outline what you intend to achieve through your research. These objectives should be specific, measurable, achievable, relevant, and time-bound (SMART).
Here are three simple steps that you can follow to identify and write your research objectives: 1. Pinpoint the major focus of your research. The first step to writing your research objectives is to pinpoint the major focus of your research project. In this step, make sure to clearly describe what you aim to achieve through your research.
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5 Examples of Research Objectives. The following examples of research objectives based on several published studies on various topics demonstrate how the research objectives are written: This study aims to find out if there is a difference in quiz scores between students exposed to direct instruction and flipped classrooms (Webb and Doman, 2016).
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Research objectives are specific goals or purposes that guide a study or investigation. They are clearly defined statements that outline what the researcher aims to achieve through their research.These objectives help to focus the study, provide direction, and establish the scope of the research design.They typically include the main questions or problems the research seeks to address and are ...
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Descriptive research methods. Descriptive research is usually defined as a type of quantitative research, though qualitative research can also be used for descriptive purposes. The research design should be carefully developed to ensure that the results are valid and reliable.. Surveys. Survey research allows you to gather large volumes of data that can be analyzed for frequencies, averages ...
To determine whether learning objectives were met, we examined; (a) suitability of chosen research objectives in terms of observable (inter)actions, (b) execution of field protocols in terms of detail and separation of description and analysis, (c) sufficiency of presentation in terms of reporting as well as (d) extent of reflection in terms of ...