research objectives types

• Defining Research Objectives: How To  Write Them

Almost all industries use research for growth and development. 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 process and ensure that the study is relevant and generates the impact you want.

In this article, we will explore research objectives and how to leverage them to achieve successful research studies.

What Are Research Objectives?

Research objectives are what you want to achieve through your research study. They guide your research process and help you focus on the most important aspects of your topic.

You can also define the scope of your study and set realistic and attainable study goals with research objectives. For example, with clear research objectives, your study focuses on the specific goals you want to achieve and prevents you from spending time and resources collecting unnecessary data.

However, sticking to research objectives isn’t always easy, especially in broad or unconventional research. This is why most researchers follow the SMART criteria when defining their research objectives.

Understanding SMART Criteria in Research

Think of research objectives as a roadmap to achieving your research goals, with the SMART criteria as your navigator on the map.

SMART stands for Specific, Measurable, Achievable, Relevant, and Time-bound. These criteria help you ensure that your research objectives are clear, specific, realistic, meaningful, and time-bound.

Here’s a breakdown of the SMART Criteria:

Specific : Your research objectives should be clear: what do you want to achieve, why do you want to achieve it, and how do you plan to achieve it? Avoid vague or broad statements that don’t provide enough direction for your research.

Measurable : Your research objectives should have metrics that help you track your progress and measure your results. Also, ensure the metrics are measurable with data to verify them.

Achievable : Your research objectives should be within your research scope, timeframe, and budget. Also, set goals that are challenging but not impossible.

Relevant: Your research objectives should be in line with the goal and significance of your study. Also, ensure that the objectives address a specific issue or knowledge gap that is interesting and relevant to your industry or niche.

Time-bound : Your research objectives should have a specific deadline or timeframe for completion. This will help you carefully set a schedule for your research activities and milestones and monitor your study progress.

Characteristics of Effective Research Objectives

Clarity : Your objectives should be clear and unambiguous so that anyone who reads them can understand what you intend to do. Avoid vague or general terms that could be taken out of context.

Specificity : Your objectives should be specific and address the research questions that you have formulated. Do not use broad or narrow objectives as they may restrict your field of research or make your research irrelevant.

Measurability : Define your metrics with indicators or metrics that help you determine if you’ve accomplished your goals or not. This will ensure you are tracking the research progress and making interventions when needed.

Also, do use objectives that are subjective or based on personal opinions, as they may be difficult to accurately verify and measure.

Achievability : Your objectives should be realistic and attainable, given the resources and time available for your research project. You should set objectives that match your skills and capabilities, they can be difficult but not so hard that they are realistically unachievable.

For example, setting very difficult make you lose confidence, and abandon your research. Also, setting very simple objectives could demotivate you and prevent you from closing the knowledge gap or making significant contributions to your field with your research.

Relevance : Your objectives should be relevant to your research topic and contribute to the existing knowledge in your field. Avoid objectives that are unrelated or insignificant, as they may waste your time or resources.

Time-bound : Your objectives should be time-bound and specify when you will complete them. Have a realistic and flexible timeframe for achieving your objectives, and track your progress with it. 

Steps to Writing Research Objectives

Identify the research questions.

The first step in writing effective research objectives is to identify the research questions that you are trying to answer. Research questions help you narrow down your topic and identify the gaps or problems that you want to address with your research.

For example, if you are interested in the impact of technology on children’s development, your research questions could be:

• What is the relationship between technology use and academic performance among children?
• Are children who use technology more likely to do better in school than those who do not?
• What is the social and psychological impact of technology use on children?

Brainstorm Objectives

Once you have your research questions, you can brainstorm possible objectives that relate to them. Objectives are more specific than research questions, and they tell you what you want to achieve or learn in your research.

You can use verbs such as analyze, compare, evaluate, explore, investigate, etc. to express your objectives. Also, try to generate as many objectives as possible, without worrying about their quality or feasibility at this stage.

Prioritize Objectives

Once you’ve brainstormed your objectives, you’ll need to prioritize them based on their relevance and feasibility. Relevance is how relevant the objective is to your research topic and how well it fits into your overall research objective.

Feasibility is how realistic and feasible the objective is compared to the time, money, and expertise you have. You can create a matrix or ranking system to organize your objectives and pick the ones that matter the most.

Refine Objectives

The next step is to refine and revise your objectives to ensure clarity and specificity. Start by ensuring that your objectives are consistent and coherent with each other and with your research questions. 

Make Objectives SMART

A useful way to refine your objectives is to make them SMART, which stands for specific, measurable, achievable, relevant, and time-bound. 

• Specific : Objectives should clearly state what you hope to achieve.
• Measurable : They should be able to be quantified or evaluated.
• Achievable : realistic and within the scope of the research study.
• Relevant : They should be directly related to the research questions.
• Time-bound : specific timeframe for research completion.

Review and Finalize Objectives

The final step is to review your objectives for coherence and alignment with your research questions and aim. Ensure your objectives are logically connected and consistent with each other and with the purpose of your study.

You also need to check that your objectives are not too broad or too narrow, too easy or too hard, too many or too few. You can use a checklist or a rubric to evaluate your objectives and make modifications.

Examples of Well-Written Research Objectives

Example 1- Psychology

Research question: What are the effects of social media use on teenagers’ mental health?

Objective : To determine the relationship between the amount of time teenagers in the US spend on social media and their levels of anxiety and depression before and after using social media.

What Makes the Research Objective SMART?

The research objective is specific because it clearly states what the researcher hopes to achieve. It is measurable because it can be quantified by measuring the levels of anxiety and depression in teenagers. 

Also, the objective is achievable because the researcher can collect enough data to answer the research question. It is relevant because it is directly related to the research question. It is time-bound because it has a specific deadline for completion.

Example 2- Marketing

Research question : How can a company increase its brand awareness by 10%?

Objective : To develop a marketing strategy that will increase the company’s sales by 10% within the next quarter.

How Is this Research Objective SMART?

The research states what the researcher hopes to achieve ( Specific ). You can also measure the company’s reach before and after the marketing plan is implemented ( Measurable ).

The research objective is also achievable because you can develop a marketing plan that will increase awareness by 10% within the timeframe. The objective is directly related to the research question ( Relevant ). It is also time-bound because it has a specific deadline for completion.

Research objectives are a well-designed roadmap to completing and achieving your overall research goal. 

However, research goals are only effective if they are well-defined and backed up with the best practices such as the SMART criteria. Properly defining research objectives will help you plan and conduct your research project effectively and efficiently.

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Research Objectives: Meaning, Types

A research objective addresses the purpose of the investigation and the types of knowledge generated from one’s investigation. It provides a framework for what is to be achieved by the study

What is the Research Objective?

A research objective addresses the purpose of the investigation and the types of knowledge generated from one’s investigation. Looking at the objectives of the research , one can anticipate what is to be achieved by the study.

A research objective indicates the population of interest and independent and dependent variables.

Many researchers state their research objective in the declarative form as a broad statement of purpose, such as the objective of this study is to examine the relationship between the initial salary (dependent variable) of those who are employed in NGOs (population of interest) and their previous job experience (independent variable).

The descriptive study does not always have variables that can be designated as independent or dependent.

In such a case, the objective indicates the nature of the inquiry, the study variables, and the population under study, as we find in the example.

This study aims to assess the women’s decision-making autonomy regarding their health care, their child’s health care, large household purchases, household purchases for daily needs, and visits to the women’s family or relatives.

In causal studies, the objectives are usually stated in the form of hypotheses.

Here is an example: Participation of women in household decision-making increases with age, their level of education, and the number of surviving children.

We can enumerate three major reasons for formulating the objectives of the research;

• Focus the study on narrowing it down to essentials;
• Avoid collection of data that are not strictly necessary for understanding and solving the problem at hand;
• Organize the study in clearly defined components or phases.

While formulating the research objectives, we should keep in mind that the results will be compared to the objectives when the study is evaluated.

If the objectives have not been formulated clearly, the study cannot be evaluated as desired. It is because of this reason; we should take care that the objectives fulfill certain criteria;

• They are realistic to fit the local environment.
• They cover the different aspects of the problem.
• They consider the contributing factors in a coherent way and logical sequence.
• They consider ethical issues, if any.
• They are phrased in operational terms.

Objectives should be closely related to the research problem statement, giving the sponsor specific, concrete, and achievable goals.

It is best to state the objectives of a study in general terms first and then move down to specific terms.

4 Types of Research Objectives

From this point of view, objectives are of two types: general and specific. We elaborate on these two concepts below, along with two more objectives: immediate objective and ultimate objective.

General Objective

The general objective of a study states what is expected to be achieved by the study in general terms.

For example, if the problem identified is the low utilization of Child Welfare Clinics (CWC), the general objective of the study could be:

• Identify the reasons for the low utilization of Child Welfare Clinics to find solutions.

Similarly, in a study on anemia in pregnancy, the general objective could be stated as:

• To study the changes in the hemoglobin level with an increase in the duration of pregnancy.

Or in a study to examine the contribution of goat farming to poverty alleviation, the general objective may be framed as follows:

• To assess the impact of investment in goat farming for poverty alleviation in rural Bangladesh.

Specific Objectives

Given that we have rightly stated the general objectives, it is advisable to break it down into several smaller, logically connected parts. These are normally referred to as specific objectives.

Specific objectives should systematically address the various aspects of the problems defined under the problem statement and the key factors that are assumed to influence or cause the problems.

They should specify what you will do in your study, where this study will be done, and for what purpose.

If formulated properly, specific objectives will facilitate the development of the research methodology and help the researcher orient the collection, analysis, interpretation, and utilization of data.

Thus in the anemia survey just cited above, the specific objectives could be

• To determine through history, the duration of pregnancy, parity, and the last birth interval of pregnant women in the study;
• To assess the hemoglobin level of pregnant women using Sahli’s method;
• To determine the changes in hemoglobin level with the duration of pregnancy, controlling for birth and parity.

Immediate Objectives

In addition to general objectives and specific objectives, a few studies, particularly evaluative studies, attempt to specify immediate objectives.

The immediate objective serves to indicate the focus of the proposed research in behavioral terms. The objective should specify the following points:

• Why are we going to do the study?
• Who will conduct the study?
• When will the study be conducted?
• What are we going to study?
• Whom will the study cover?
• How will the study be conducted?

The ‘why’  question addresses the rationale and objectives of the study.

The ‘whose’  question is designed to identify the individuals, firms, or organizations responsible for implementing the study.

The ‘when’  question seeks to know the study period.

The ‘what’  question addresses the issue of a statement of the problem, including the key variables.

The ‘ whom’ question seeks to answer the population to be studied.

The ‘ how’   question seeks to know the methodology to be followed, including the research design and sampling strategy to be employed.

Ultimate Objective

Most applied research studies have a statement of ultimate objective that focuses on how the results will be used to motivate the program managers and policymakers to implement and execute the recommendations from the survey results.

In the anemia survey, the ultimate objective may be stated as follows:

It is expected that the study’s findings will help enhance understanding of the effect of pregnancy on hemoglobin levels of mothers and thereby guide the physician’s incorrect iron therapy for pregnant women during the different gestational periods.

In the child nutrition survey cited above, the ultimate objectives were to highlight issues that policymakers and program managers need to address to improve the nutrition status of children in the country.

How are research objectives typically stated in causal studies?

What are the main reasons for formulating research objectives.

The main reasons for formulating research objectives are to focus the study, avoid unnecessary data collection, and organize the study in clearly defined components or phases.

What is the difference between general and specific research objectives?

The general objective of a study states the expected outcome in broad terms, while specific objectives break down the general objective into smaller, logically connected parts that address various aspects of the research problem.

What are the immediate objectives in research?

Immediate objectives indicate the focus of the proposed research in behavioral terms, specifying why, who, when, what, whom, and how the study will be conducted.

How does an ultimate objective differ from other research objectives?

The ultimate objective focuses on how the results of the research will be used, aiming to motivate program managers and policymakers to implement the recommendations derived from the study’s findings.

Why is it essential to state research objectives clearly?

Clear research objectives are crucial because the study’s results will be compared to these objectives when evaluating the study. If the objectives are not clearly formulated, the study cannot be evaluated as desired.

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Writing Effective Research Aims and Objectives

• By: Margaret-Anne Houston , Marissa McDonagh Edited by: Margaret-Anne Houston
• Product: Sage Research Methods: Business
• Publisher: SAGE Publications Ltd
• Publication year: 2023
• Online pub date: March 21, 2023
• Discipline: Business and Management
• Methods: Research questions , Writing research , Research design
• DOI: https:// doi. org/10.4135/9781529668216
• Keywords: fuel poverty , social media Show all Show less
• Academic Level: Advanced Undergraduate Online ISBN: 9781529668216 More information Less information

The writing of effective research aims and objectives can cause confusion and concern to new and experienced researchers and learners. This step in your research journey is usually the first written method used to convey your research idea to your tutor. Therefore, aims and objectives should clearly convey your topic, academic foundation, and research design. In order to write effective research aims and objectives, researchers should consider all aspects of their proposed work. For example, the sample(s) to be approached for participation in the primary data collection. Identifying research objectives that are SMART is key to ensuring key aspects of the work are considered prior to any data collection. This includes consideration of access to samples and the ethics of researching the topic and research design. Finally, seeing your work as others will read it, can be an effective evaluation tool to ensure your own research objectives adequately capture and reflect your intended study. Therefore, this guide encourages you to consider common issues with identifying and writing research aims and objectives through consideration of examples.

Learning Outcomes

By the end of this guide, readers should be able to:

• Identify the meaning and purpose of a research aim within business research
• Understand the link between an effective research aim and the wider topic and literature/secondary sources, where appropriate
• Understand how to identify and write Specific, Measurable, Achievable, Realistic and Timely (SMART) Research objectives, research questions, and consideration of research hypothesis
• Recognize the link between writing an effective research aim and the research design. Write own research aim and objectives

Introduction

The writing of effective research aims and objectives can cause confusion and concern to new (and experienced!) researchers and learners. Attempting to identify the scope and focus of a project within a few specific statements, can take time and consideration of all aspects of your research design. If you are still unsure of your approach to your topic, or even the boundaries of the topic itself, this uncertainty can make the framing of an effective research aim seem like an uphill task.

However, even if this is your first time trying to convey your research idea within a few concise and precise statements, there are steps to take to ensure your work clearly communicates your meaning to your audience. This how-to-guide draws on examples of business topic research aims and objectives and explores techniques for reviewing their meaning. This active learning approach will enable you to grow confidence in framing and communicating your own research.

The importance of ensuring the research aim and objectives are not only reflective of the topic choice but are also achievable can be a fluid process, which in itself, can result in anxious researchers. Seeing your work as others will read it, can be an effective evaluation tool to ensure your own research objectives adequately capture and reflect your intended study. Therefore, this guide encourages you to consider common issues with identifying and writing research aims and objectives through consideration of examples.

Identify the Meaning and Purpose of a Research Aim with Business Research

Writing an effective research aim is an integral part of the research process. A research aim is a statement of intent. It should communicate your research goal clearly and should provide a focus for your work from the offset. It is important to differentiate between a research aim and the objectives. If a research aim tells the reader what you plan to achieve, then the research objectives should state how you would reach that goal. Often the objectives will provide a road map of the steps you will take in order to meet the research aim. Therefore, a research aim in business-related topics is typically a single sentence or even two, which conveys the overall purpose of the research-the end goal!

The terminology you use when writing your research aim is important. Note the following example aims from Business related topics:

• 1. This research aims to evaluate the lasting effects of lockdown and ‘work from home’ initiatives on productiveness in the financial service industry.
• 2. This research aims to establish a link between innovations in Artificial Intelligence (AI) and recruitment processes for The Royal Bank of Scotland.
• 3. This research aims to investigate to what extent Corporate Social Responsibility (CSR) initiatives can influence consumer behavior. A case study of Aldi UK.
• 4. This research aims to assess the effectiveness of technology companies’ risk management of cyber and information risks measured on the basis of supply chain resilience.
• 5. This research aims to explore the impact of Government funded initiatives to encourage social entrepreneurship in Scotland.

As evidenced above all of the aims stated contain verbs, these highlight how the research will be undertaken. Words such as to assess, to establish, to explore or to evaluate all reflect research analysis. This conveys your intention clearly to the reader and whilst it may not fully demonstrate exactly how the project will be undertaken, the verbs show what the goal is.

The objectives, which follow the aim, can help to show the exact ways the aim will be achieved, highlighting the research methods. It is important to think carefully about whether you plan to or will be to, come to a clear conclusion. Often it is not possible and this can be due to many factors such as the time or scope of the issue. For example, in the aims stated above number 2 is the only one that states it will ‘establish a link.’ This is because the aim is specific and measurable. The objectives should identify the specific processes it will examine and link to effective recruitment practices that are more effective than prior to AI being used.

However, for the other aims it is more appropriate to explore or investigate the topics, as opposed to ‘establishing’ or to ‘evidence an impact.’

Abbreviations are a useful way of shortening words or phrases and they can give writing a more coherent flow. It is worth noting that all abbreviations like AI or CSR should only be used when they are spelled out initially and if they appear frequently throughout your writing.

It is important to always check with your supervisor or course Handbook but typically, you should have a research question, a research aim, and objectives. The research question should capture what the issue is, often it will help to explain your research aim by offering a critical perspective. For example, if your research is to evaluate the effect of something then your question may be to what extent is that something works?

Finally, it is important to remember that the wording of your research aim may change slightly as your research progresses. Often students will modify the words to reflect what they are undertaking as the process develops.

Section Summary

• An effective research aim should clearly set out the goal of a project.
• Carefully consider the terminology you use at this stage, and ensure it reflects the outcome of the study.
• Remember a research aim can be fluid and the exact wording is likely to change as you progress through your research journey.

Understand the Link Between an Effective Research Aim and the Wider Topic and Literature/secondary Sources, Where Appropriate

When developing the research aim it is important to be engaged with the wider topic and associated literature and secondary sources from the offset. These sources will be crucial in helping you to tackle the topic successfully.

Identifying an idea for a research project can sometimes be a relatively simple first step in the research process. It is often narrowing the idea down to a research aim, which can be more difficult. A good way to start is to brainstorm ideas, think about what interests you the most about your studies, and note down keywords which can then be used as search terms. Researchers, at all levels of research and study, should consider information-seeking as a process through which they engage with the primary literature and secondary sources concerning their topic area. This will develop self-confidence in your ability to define the terms of reference of your work and studies. An inquiring mind and openness to a degree of flexibility of approach in these early stages of research, can be key to ensuring initial topic ideas can be molded into achievable research aims and objectives.

Research could be considered to be cyclical, not a one-off process. Therefore, in order to ensure a definable and achievable research topic, many projects use a mixture of sources. This requires a degree of confidence on the part of the researcher; to identify the relevant resources they require, a strategy for how to find them and also, a process for information management.

Many researchers will start with an online search for both academic and non-academic sources. The short-term success of this first step can be dictated by the choice of keywords and phrases. That is, those terms that the researcher believes are most relevant for, and most likely to come up with links to their research topic. However, caution should be employed in this initial task of online searching - this is an important opportunity to consider how we identify these specific keywords. A limited understanding of the area will be enhanced through further reading. It can allow the researcher to access previous studies in the same topic area and identify effective research methods. An informed research aim should be underpinned by reading and evaluating sources in relation to the research idea.

Using the research aims below as examples, note the sources required and some issues to consider for each source. By strategically linking your research aim to the wider area you will ensure your research is robust from the start.

• Reading combined with ongoing critical appraisal of associated sources can help to refine and focus your research aim and objectives.
• Think of your research as an ongoing process. Reading associated sources should be embedded in every stage of your research journey.
• Ensure you are acknowledging the wider research area and associated sources from the offset as this will help to refine and focus your research aim and objectives.

Understanding How to Identify SMART Research Objectives, Research Questions, and Consideration of Research Hypothesis

First-time final year undergraduates are normally expected to identify a research topic and research design that are realistic and achievable. Not only should they be realistic as topics but also achievable within a short time period when most learners have never undertaken such work previously. A common pitfall of many initial research topics is identifying an area that is too wide in scope. A simple step is to consider how to express and convey the work within a series of research objectives. Careful consideration of the content of these statements can help narrow the topic focus, and ensure the research design is relevant to the work to be undertaken. Therefore, writing your objectives should be viewed as a process and not a one-off exercise. Remember, they convey your work to an audience and set out the initial boundaries of the research to be undertaken.

Therefore, research aims and objectives should provide focus and direction for the research topic. Many business research methods texts will introduce the writing of research aims and objectives as a specific skill required to ensure they are Specific, Measurable, Achievable, Realistic and Timely (SMART). By following the SMART guidelines and analyzing examples of common issues within aims and objectives, learners can build confidence and ensure their aims and objectives are strong. Together with these five criteria, the language used can convey the depth of the inquiry. By way of explanation, consider the following topic submitted for consideration as a final-year project:

The research aim is to evaluate consumer perceptions of the impact of social media advertising on their car purchasing decisions. The fieldwork will examine consumer attitudes toward social media advertising and the benefits of this approach. This will be explored through the following research objectives:

• 1. Examine relevant literature concerning advertising, and trends in social media within the car industry;
• 2. Identify the attitudes of key players and stakeholders within the advertising industry toward the use of social media;
• 3. Discuss the effects of new technology on social media and advertising trends;
• 4. Evaluate how consumers relate to new technology with a view to making recommendations for improvement in the use of social media within online advertising.

S pecific – the research objectives reflect the terminology also used within the research aim.

M easureable – this does not necessarily mean that the work will involve quantitative data. Consider that the objectives identify the issues and samples and so the target of the work.

A chievable – does the work appear to be a piece of research that could be undertaken and completed within the confines of the undergraduate program? It could be achievable on the basis that the work does not appear to require a long time period to complete and the samples should be accessible. Achievability is also a consideration of university ethical consideration processes. For example, although a researcher is able to identify a sample of participants who are experiencing fuel poverty, consideration must be given to the possible ethical issues that surround requesting their participation. It may be deemed that the research could in some manner cause harm to the participants, such as stress through talking about their lived experiences. This stress could also be felt by the researcher who may not be trained to deal with such emotional situations. In both of these examples, the university ethics process could decide this work is unachievable.

R ealistic – the issue of social media advertising is realistic within the stated industry. The samples identified also appear linked to the topic. Furthermore, the academic foundation of the work is also identified – advertising. The work also appears to be realistic in terms of the resources required to complete it. The ethical use of data gathered from social media could also be relevant to determining if this topic is realistic. As with Achievability above, issues such as how the data was originally gathered and how it will then be used by the researcher, would be scrutinized by the Ethics process. Again, the principle of ‘do no harm’ would be applied to determine if the work is realistic.

T imely – although the work does not offer a specific timeframe, the use of social media for advertising is evident within the car industry. Therefore, this could be said to be timely.

Furthermore, the terminology is important. If you choose words that are descriptive, they will convey work that is also descriptive. So, try to use words such as ‘describe,’ ‘understand,’ or ‘gain an insight into’ only where they adequately reflect that your research is not an in-depth study. Consider using terms to evidence how you will approach each objective including: evaluate; critique; critically discuss and examine. All infer the research will go beyond a surface inquiry.

Now, at this stage, consider if the research wished to study the possible relationships between variables such as the impact on consumers of exposure to social media advertising on car sales decision-making. As with the approach to the similar topic above, this could be explored using qualitative data by gathering the experiences of consumers and/or people within the car industry. However, research that specifically wishes to explore possible links between issues and/or specific variables, could sometimes be better framed using a research hypothesis. This is a statement that identifies possible c ause and effect ’ relationships between variables. Therefore, the focus of the above topic could be reconsidered to identify the impact of social media advertising within the car industry. The new research question and hypothesis could be thus:

The research question: Do consumers perceive the impact of social media advertising on their car purchasing decisions?

Null Hypothesis: There is no difference in car purchasing decisions between those consumers who are exposed to social media advertising of cars compared to those who are not.

Alternative Hypothesis: There is a relationship between whether or not a consumer has been exposed to social media advertising and their car purchasing decision.

In order to address the hypothesis, some form of statistical testing would be required which is not covered in this guide. However, as a researcher, you should always consider what it is specifically that you wish to research when framing your work. This topic consideration could identify specific issues and/or variables which you wish to explore further to test if there are statistical relationships. In this situation, you could consider including hypothesis testing within your research design. As can be viewed above, related topics may be presented in different ways, with the inclusion or exclusion of a research hypothesis. The existence of possible relationships may be explored through research that seeks perceptions of advertising. However, research which seeks statistical evidence would be best represented with hypothesis testing.

• Research aim and objectives convey to your audience the topic and possible boundaries of your work. Therefore, ensuring they are presented as SMART, allows others to assess your work in the way you intended.
• Research ethics should be considered when writing research aims and objectives, including the potential impact of participation on individuals. Research should do no harm to the individuals involved, including the sample and researchers themselves.
• Research does not always necessitate consideration of the research hypothesis. However, in some circumstances, a well-considered hypothesis could offer statistical weight to your findings.

Recognizing the Link Between Writing an Effective Research Aim and the Research Design

The research aim and objectives should be written in a way that conveys the specific area or problem to be researched. This should allow anyone reading your research aim to understand the main focus of the work. For example, your work may aim to examine the lived experiences of individuals living with fuel poverty within a specific geographic area or demographic. In this example, you can clearly identify the topic – lived experiences of fuel poverty – and the focus – individuals within the chosen geographical area/demographic . To a more experienced researcher, it can also offer insight into the research design which may be reasonably expected. So, studies of ‘lived experiences’ can involve the gathering and/or analysis of qualitative data from individuals/communities as the researcher seek to gather the first-hand experiences of participants (individuals).

Clearly written research aim and objectives should allow the reader to consider the following information:

• 1. Wider academic area(s) within which the topic falls (for example, accountancy; marketing; management);
• 2. The main areas of the literature identified within the aim and/or objectives;
• 3. The data which would be expected to be gathered to in order to meet/address the research objectives;
• 4. The data collection methods which could be deemed relevant to the research aim and,
• 5. Overall, if the research aim and objectives are SMART (see above).

Consider the wording in the example below:

The research aim of this dissertation is to examine the lived experiences of people living with fuel poverty and their attitudes towards support services within a local council area. This research aim will be addressed through the following research objectives:

• 1. Critically review previous literature and evaluate the origins and purpose of different definitions of ‘fuel poverty.’
• 2. Explore the attitudes of individuals currently experiencing fuel poverty towards support agencies and other stakeholders.
• 3. Analyze the opportunities and barriers to support agencies and related stakeholders within a local council area with specific regard to supporting those experiencing fuel poverty.
• 4. Compare and contrast the lived experiences of individuals experiencing fuel poverty with those of the support agencies to identify potential service gaps.

Looking closely at the work above, it could be reasonable to make the following assumptions about the research:

The academic area(s) within which the topic falls (for example, accountancy; marketing; management; social sciences; economics). This can be researched and explored by keyword searching the research aim. In this example, there appear to be multiple academic roots to the work:

• ‘lived experiences of people living with fuel poverty’ – this could be viewed as a social science/economics topic or even an engineering area. Either would depend on the specific view taken to investigate fuel poverty, i.e., real-world examples of lived experiences, specially such as narratives about their daily life. Alternatively, this aim could encapsulate studies within engineering areas that seek to understand the impact of construction and design decisions on the daily life of individuals.
• ‘…and their attitudes towards support services within a local council area’ – by adding a focus for the study as being specific to support services, this work is now narrowed to more reflect the social sciences area.
• If the work was indeed to study any issues such as building construction, this would be expected to appear within the research aim to convey the topic clearly and precisely.

Therefore, it could be expected that if the research draws on wider academic areas, this should be evident from the terminology within the research objectives. A consistent use of terminology ensures the academic foundation of the work is identifiable throughout. It could also be reasonably presumed that the relevant issues of each sample (individuals within fuel poverty, the support services, and stakeholders), would be refined to include specific factors to ensure the work is focused on specific issues.

Next, consider the type of data you would expect to gather to in order to meet/address the research objectives. The following options appear to be linked to the wording of the objectives:

• Secondary Data: The objectives identify the need for literature in the first stages of work in order to address objectives 1, 2, and 3. As the research is based on lived experiences, this could include not only academic work but also charity and government reports. Given that this is a real-world issue, examples could also be identified from reputable news agencies. All of these sources could help identify possible issues that may be identified by research participants during the data gathering. If these issues are not identified by the participants, they could be used to form a critical discussion around opportunities or barriers (objective 3).
• Primary Data: Given the focus on lived experiences related to support services, the research may be presumed to include a qualitative study. A qualitative study would allow participants to use their own voices and language to explain their lived experiences. Whereas a quantitative study, by its nature, could explore the issues already known to the researcher when the instrument was written, e.g., survey. Qualitative data could perhaps encourage more personal issues to be identified by the individual participants, and also offer some context for their position.

Subsequently, consider which data collection methods you would expect to be used to address the research aim.

• Quantitative data gathering tools: Could quantitative data gathering explore the lived experiences of this sample? Many areas could be effectively explored however lived experiences tend to be personal to the individual and so qualitative could offer more depth and richness to the data.
• As both the research aim and objectives identify specific samples, the research could be considered to have a boundary around those to be invited to participate. Therefore, secondary data may identify the definitions of fuel poverty and offer reasons for any differences. It could also allow the identification of the roles and remits of support services and stakeholders. However, it will not offer specific lived experience details that can come from the sample of individuals.

If specific organizational sectors or companies were identified, the use of quantitative data-gathering tools, such as a survey, may allow more specific information to be gathered. Remember, the research aim identifies that the focus is the individuals who experience fuel poverty. Therefore, a survey could address issues such as knowledge and understanding of these service providers. However, it could then miss hearing about the informal networks used by individuals for support, which could come to light during a qualitative study.

Finally, if in doubt, show your research aim and objectives to a colleague and ask them to tell you , what they think your research is about. This simple exercise will enable you to realize what other people understand from your work and so, allow you to tweak where necessary. This should ensure your research is not only accessible to different audiences but ultimately, is a fair reflection of your topic choice.

• Clearly written research aims and objectives can effectively convey information about your work. This allows a reader to consider the key aspects of your topic and sets expectations about the contents of your report/dissertation/thesis.
• Always ensure that the language used to write a research aim and objectives, adequately convey the meaning and depth of your research. It should be specific to your topic but also accessible to the intended audience(s).
• SMART research objectives can convey your understanding of research design. This should be apparent from the layering of issues and identification of relevant samples.

In conclusion, this guide has offered practical steps through example-based exercises to help you format your idea into an effective research aim and objectives. Having progressed through the exercises, you will have considered issues such as the importance of understanding how a research aim can help you refine your idea. It is also the mechanism to convey your research intention to your audience. Through exploring the importance of linking your research aim to the wider research area this will give you the confidence to develop SMART objectives. Following this, your work will reflect key areas of your research design through the use of relevant research methods terminology.

Therefore, by following the steps in this guide you should now be confident to take your idea and form it into robust research aims and objectives.

Multiple-Choice Quiz Questions

1. The purpose of a research aim is to ______.

Incorrect Answer

Feedback: This is not the correct answer. The correct answer is C.

Correct Answer

Feedback: Well done, correct answer

2. It is important to understand the link between the research aim and the wider topic because ______.

Feedback: This is not the correct answer. The correct answer is B.

3. How many research objectives are necessary to ensure a successful final-year project?

4. Research objectives reflect ______

5. Research design can be reflected in the research aim and objectives by ______.

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The Importance Of Research Objectives

Imagine you’re a student planning a vacation in a foreign country. You’re on a tight budget and need to draw…

Imagine you’re a student planning a vacation in a foreign country. You’re on a tight budget and need to draw up a pocket-friendly plan. Where do you begin? The first step is to do your research.

Before that, you make a mental list of your objectives—finding reasonably-priced hotels, traveling safely and finding ways of communicating with someone back home. These objectives help you focus sharply during your research and be aware of the finer details of your trip.

More often than not, research is a part of our daily lives. Whether it’s to pick a restaurant for your next birthday dinner or to prepare a presentation at work, good research is the foundation of effective learning. Read on to understand the meaning, importance and examples of research objectives.

Why Do We Need Research?

What are the objectives of research, what goes into a research plan.

Research is a careful and detailed study of a particular problem or concern, using scientific methods. An in-depth analysis of information creates space for generating new questions, concepts and understandings. The main objective of research is to explore the unknown and unlock new possibilities. It’s an essential component of success.

Over the years, businesses have started emphasizing the need for research. You’ve probably noticed organizations hiring research managers and analysts. The primary purpose of business research is to determine the goals and opportunities of an organization. It’s critical in making business decisions and appropriately allocating available resources.

Here are a few benefits of research that’ll explain why it is a vital aspect of our professional lives:

Expands Your Knowledge Base

One of the greatest benefits of research is to learn and gain a deeper understanding. The deeper you dig into a topic, the more well-versed you are. Furthermore, research has the power to help you build on any personal experience you have on the subject.

Keeps You Up To Date

Research encourages you to discover the most recent information available. Updated information prevents you from falling behind and helps you present accurate information. You’re better equipped to develop ideas or talk about a topic when you’re armed with the latest inputs.

Builds Your Credibility

Research provides you with a good foundation upon which you can develop your thoughts and ideas. People take you more seriously when your suggestions are backed by research. You can speak with greater confidence because you know that the information is accurate.

Sparks Connections

Take any leading nonprofit organization, you’ll see how they have a strong research arm supported by real-life stories. Research also becomes the base upon which real-life connections and impact can be made. It even helps you communicate better with others and conveys why you’re pursuing something.

Encourages Curiosity

As we’ve already established, research is mostly about using existing information to create new ideas and opinions. In the process, it sparks curiosity as you’re encouraged to explore and gain deeper insights into a subject. Curiosity leads to higher levels of positivity and lower levels of anxiety.

Well-defined objectives of research are an essential component of successful research engagement. If you want to drive all aspects of your research methodology such as data collection, design, analysis and recommendation, you need to lay down the objectives of research methodology. In other words, the objectives of research should address the underlying purpose of investigation and analysis. It should outline the steps you’d take to achieve desirable outcomes. Research objectives help you stay focused and adjust your expectations as you progress.

The objectives of research should be closely related to the problem statement, giving way to specific and achievable goals. Here are the four types of research objectives for you to explore:

General Objective

Also known as secondary objectives, general objectives provide a detailed view of the aim of a study. In other words, you get a general overview of what you want to achieve by the end of your study. For example, if you want to study an organization’s contribution to environmental sustainability, your general objective could be: a study of sustainable practices and the use of renewable energy by the organization.

Specific Objectives

Specific objectives define the primary aim of the study. Typically, general objectives provide the foundation for identifying specific objectives. In other words, when general objectives are broken down into smaller and logically connected objectives, they’re known as specific objectives. They help define the who, what, why, when and how aspects of your project. Once you identify the main objective of research, it’s easier to develop and pursue a plan of action.

Let’s take the example of ‘a study of an organization’s contribution to environmental sustainability’ again. The specific objectives will look like this:

To determine through history how the organization has changed its practices and adopted new solutions

To assess how the new practices, technology and strategies will contribute to the overall effectiveness

Once you’ve identified the objectives of research, it’s time to organize your thoughts and streamline your research goals. Here are a few effective tips to develop a powerful research plan and improve your business performance.

Set SMART Goals

Your research objectives should be SMART—Specific, Measurable, Achievable, Realistic and Time-constrained. When you focus on utilizing available resources and setting realistic timeframes and milestones, it’s easier to prioritize objectives. Continuously track your progress and check whether you need to revise your expectations or targets. This way, you’re in greater control over the process.

Create A Plan

Create a plan that’ll help you select appropriate methods to collect accurate information. A well-structured plan allows you to use logical and creative approaches towards problem-solving. The complexity of information and your skills are bound to influence your plan, which is why you need to make room for flexibility. The availability of resources will also play a big role in influencing your decisions.

Collect And Collate

After you’ve created a plan for the research process, make a list of the data you’re going to collect and the methods you’ll use. Not only will it help make sense of your insights but also keep track of your approach. The information you collect should be:

Logical, rigorous and objective

Can be reproduced by other people working on the same subject

Free of errors and highlighting necessary details

Current and updated

Includes everything required to support your argument/suggestions

Analyze And Keep Ready

Data analysis is the most crucial part of the process and there are many ways in which the information can be utilized. Four types of data analysis are often seen in a professional environment. While they may be divided into separate categories, they’re linked to each other.

Descriptive Analysis:

The most commonly used data analysis, descriptive analysis simply summarizes past data. For example, Key Performance Indicators (KPIs) use descriptive analysis. It establishes certain benchmarks after studying how someone has been performing in the past.

Diagnostic Analysis:

The next step is to identify why something happened. Diagnostic analysis uses the information gathered through descriptive analysis and helps find the underlying causes of an outcome. For example, if a marketing initiative was successful, you deep-dive into the strategies that worked.

Predictive Analysis:

It attempts to answer ‘what’s likely to happen’. Predictive analysis makes use of past data to predict future outcomes. However, the accuracy of predictions depends on the quality of the data provided. Risk assessment is an ideal example of using predictive analysis.

Prescriptive Analysis: 

The most sought-after type of data analysis, prescriptive analysis combines the insights of all of the previous analyses. It’s a huge organizational commitment as it requires plenty of effort and resources. A great example of prescriptive analysis is Artificial Intelligence (AI), which consumes large amounts of data. You need to be prepared to commit to this type of analysis.

Review And Interpret

Once you’ve collected and collated your data, it’s time to review it and draw accurate conclusions. Here are a few ways to improve the review process:

Identify the fundamental issues, opportunities and problems and make note of recurring trends if any

Make a list of your insights and check which is the most or the least common. In short, keep track of the frequency of each insight

Conduct a SWOT analysis and identify the strengths, weaknesses, opportunities and threats

Write down your conclusions and recommendations of the research

When we think about research, we often associate it with academicians and students. but the truth is research is for everybody who is willing to learn and enhance their knowledge. If you want to master the art of strategically upgrading your knowledge, Harappa Education’s Learning Expertly course has all the answers. Not only will it help you look at things from a fresh perspective but also show you how to acquire new information with greater efficiency. The Growth Mindset framework will teach you how to believe in your abilities to grow and improve. The Learning Transfer framework will help you apply your learnings from one context to another. Begin the journey of tactful learning and self-improvement today!

Explore Harappa Diaries to learn more about topics related to the THINK Habit such as  Learning From Experience ,  Critical Thinking  & What is  Brainstorming  to think clearly and rationally.

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Types of Research – Explained with Examples

• By DiscoverPhDs
• October 2, 2020

Types of Research

Research is about using established methods to investigate a problem or question in detail with the aim of generating new knowledge about it.

It is a vital tool for scientific advancement because it allows researchers to prove or refute hypotheses based on clearly defined parameters, environments and assumptions. Due to this, it enables us to confidently contribute to knowledge as it allows research to be verified and replicated.

Knowing the types of research and what each of them focuses on will allow you to better plan your project, utilises the most appropriate methodologies and techniques and better communicate your findings to other researchers and supervisors.

Classification of Types of Research

There are various types of research that are classified according to their objective, depth of study, analysed data, time required to study the phenomenon and other factors. It’s important to note that a research project will not be limited to one type of research, but will likely use several.

According to its Purpose

Theoretical research.

Theoretical research, also referred to as pure or basic research, focuses on generating knowledge , regardless of its practical application. Here, data collection is used to generate new general concepts for a better understanding of a particular field or to answer a theoretical research question.

Results of this kind are usually oriented towards the formulation of theories and are usually based on documentary analysis, the development of mathematical formulas and the reflection of high-level researchers.

Applied Research

Here, the goal is to find strategies that can be used to address a specific research problem. Applied research draws on theory to generate practical scientific knowledge, and its use is very common in STEM fields such as engineering, computer science and medicine.

This type of research is subdivided into two types:

• Technological applied research : looks towards improving efficiency in a particular productive sector through the improvement of processes or machinery related to said productive processes.
• Scientific applied research : has predictive purposes. Through this type of research design, we can measure certain variables to predict behaviours useful to the goods and services sector, such as consumption patterns and viability of commercial projects.

According to your Depth of Scope

Exploratory research.

Exploratory research is used for the preliminary investigation of a subject that is not yet well understood or sufficiently researched. It serves to establish a frame of reference and a hypothesis from which an in-depth study can be developed that will enable conclusive results to be generated.

Because exploratory research is based on the study of little-studied phenomena, it relies less on theory and more on the collection of data to identify patterns that explain these phenomena.

Descriptive Research

The primary objective of descriptive research is to define the characteristics of a particular phenomenon without necessarily investigating the causes that produce it.

In this type of research, the researcher must take particular care not to intervene in the observed object or phenomenon, as its behaviour may change if an external factor is involved.

Explanatory Research

Explanatory research is the most common type of research method and is responsible for establishing cause-and-effect relationships that allow generalisations to be extended to similar realities. It is closely related to descriptive research, although it provides additional information about the observed object and its interactions with the environment.

Correlational Research

The purpose of this type of scientific research is to identify the relationship between two or more variables. A correlational study aims to determine whether a variable changes, how much the other elements of the observed system change.

According to the Type of Data Used

Qualitative research.

Qualitative methods are often used in the social sciences to collect, compare and interpret information, has a linguistic-semiotic basis and is used in techniques such as discourse analysis, interviews, surveys, records and participant observations.

In order to use statistical methods to validate their results, the observations collected must be evaluated numerically. Qualitative research, however, tends to be subjective, since not all data can be fully controlled. Therefore, this type of research design is better suited to extracting meaning from an event or phenomenon (the ‘why’) than its cause (the ‘how’).

Quantitative Research

Quantitative research study delves into a phenomena through quantitative data collection and using mathematical, statistical and computer-aided tools to measure them . This allows generalised conclusions to be projected over time.

According to the Degree of Manipulation of Variables

Experimental research.

It is about designing or replicating a phenomenon whose variables are manipulated under strictly controlled conditions in order to identify or discover its effect on another independent variable or object. The phenomenon to be studied is measured through study and control groups, and according to the guidelines of the scientific method.

Non-Experimental Research

Also known as an observational study, it focuses on the analysis of a phenomenon in its natural context. As such, the researcher does not intervene directly, but limits their involvement to measuring the variables required for the study. Due to its observational nature, it is often used in descriptive research.

Quasi-Experimental Research

It controls only some variables of the phenomenon under investigation and is therefore not entirely experimental. In this case, the study and the focus group cannot be randomly selected, but are chosen from existing groups or populations . This is to ensure the collected data is relevant and that the knowledge, perspectives and opinions of the population can be incorporated into the study.

According to the Type of Inference

Deductive investigation.

In this type of research, reality is explained by general laws that point to certain conclusions; conclusions are expected to be part of the premise of the research problem and considered correct if the premise is valid and the inductive method is applied correctly.

Inductive Research

In this type of research, knowledge is generated from an observation to achieve a generalisation. It is based on the collection of specific data to develop new theories.

Hypothetical-Deductive Investigation

It is based on observing reality to make a hypothesis, then use deduction to obtain a conclusion and finally verify or reject it through experience.

According to the Time in Which it is Carried Out

Longitudinal study (also referred to as diachronic research).

It is the monitoring of the same event, individual or group over a defined period of time. It aims to track changes in a number of variables and see how they evolve over time. It is often used in medical, psychological and social areas .

Cross-Sectional Study (also referred to as Synchronous Research)

Cross-sectional research design is used to observe phenomena, an individual or a group of research subjects at a given time.

According to The Sources of Information

Primary research.

This fundamental research type is defined by the fact that the data is collected directly from the source, that is, it consists of primary, first-hand information.

Secondary research

Unlike primary research, secondary research is developed with information from secondary sources, which are generally based on scientific literature and other documents compiled by another researcher.

According to How the Data is Obtained

Documentary (cabinet).

Documentary research, or secondary sources, is based on a systematic review of existing sources of information on a particular subject. This type of scientific research is commonly used when undertaking literature reviews or producing a case study.

Field research study involves the direct collection of information at the location where the observed phenomenon occurs.

From Laboratory

Laboratory research is carried out in a controlled environment in order to isolate a dependent variable and establish its relationship with other variables through scientific methods.

Mixed-Method: Documentary, Field and/or Laboratory

Mixed research methodologies combine results from both secondary (documentary) sources and primary sources through field or laboratory research.

The purpose of research is to enhance society by advancing knowledge through developing scientific theories, concepts and ideas – find out more on what this involves.

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Home » Research Methodology – Types, Examples and writing Guide

Research Methodology – Types, Examples and writing Guide

Table of Contents

Research Methodology

Definition:

Research Methodology refers to the systematic and scientific approach used to conduct research, investigate problems, and gather data and information for a specific purpose. It involves the techniques and procedures used to identify, collect , analyze , and interpret data to answer research questions or solve research problems . Moreover, They are philosophical and theoretical frameworks that guide the research process.

Structure of Research Methodology

Research methodology formats can vary depending on the specific requirements of the research project, but the following is a basic example of a structure for a research methodology section:

I. Introduction

• Provide an overview of the research problem and the need for a research methodology section
• Outline the main research questions and objectives

II. Research Design

• Explain the research design chosen and why it is appropriate for the research question(s) and objectives
• Discuss any alternative research designs considered and why they were not chosen
• Describe the research setting and participants (if applicable)

III. Data Collection Methods

• Describe the methods used to collect data (e.g., surveys, interviews, observations)
• Explain how the data collection methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or instruments used for data collection

IV. Data Analysis Methods

• Describe the methods used to analyze the data (e.g., statistical analysis, content analysis )
• Explain how the data analysis methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or software used for data analysis

V. Ethical Considerations

• Discuss any ethical issues that may arise from the research and how they were addressed
• Explain how informed consent was obtained (if applicable)
• Detail any measures taken to ensure confidentiality and anonymity

VI. Limitations

• Identify any potential limitations of the research methodology and how they may impact the results and conclusions

VII. Conclusion

• Summarize the key aspects of the research methodology section
• Explain how the research methodology addresses the research question(s) and objectives

Research Methodology Types

Types of Research Methodology are as follows:

Quantitative Research Methodology

This is a research methodology that involves the collection and analysis of numerical data using statistical methods. This type of research is often used to study cause-and-effect relationships and to make predictions.

Qualitative Research Methodology

This is a research methodology that involves the collection and analysis of non-numerical data such as words, images, and observations. This type of research is often used to explore complex phenomena, to gain an in-depth understanding of a particular topic, and to generate hypotheses.

Mixed-Methods Research Methodology

This is a research methodology that combines elements of both quantitative and qualitative research. This approach can be particularly useful for studies that aim to explore complex phenomena and to provide a more comprehensive understanding of a particular topic.

Case Study Research Methodology

This is a research methodology that involves in-depth examination of a single case or a small number of cases. Case studies are often used in psychology, sociology, and anthropology to gain a detailed understanding of a particular individual or group.

Action Research Methodology

This is a research methodology that involves a collaborative process between researchers and practitioners to identify and solve real-world problems. Action research is often used in education, healthcare, and social work.

Experimental Research Methodology

This is a research methodology that involves the manipulation of one or more independent variables to observe their effects on a dependent variable. Experimental research is often used to study cause-and-effect relationships and to make predictions.

Survey Research Methodology

This is a research methodology that involves the collection of data from a sample of individuals using questionnaires or interviews. Survey research is often used to study attitudes, opinions, and behaviors.

Grounded Theory Research Methodology

This is a research methodology that involves the development of theories based on the data collected during the research process. Grounded theory is often used in sociology and anthropology to generate theories about social phenomena.

Research Methodology Example

An Example of Research Methodology could be the following:

Research Methodology for Investigating the Effectiveness of Cognitive Behavioral Therapy in Reducing Symptoms of Depression in Adults

Introduction:

The aim of this research is to investigate the effectiveness of cognitive-behavioral therapy (CBT) in reducing symptoms of depression in adults. To achieve this objective, a randomized controlled trial (RCT) will be conducted using a mixed-methods approach.

Research Design:

The study will follow a pre-test and post-test design with two groups: an experimental group receiving CBT and a control group receiving no intervention. The study will also include a qualitative component, in which semi-structured interviews will be conducted with a subset of participants to explore their experiences of receiving CBT.

Participants:

Participants will be recruited from community mental health clinics in the local area. The sample will consist of 100 adults aged 18-65 years old who meet the diagnostic criteria for major depressive disorder. Participants will be randomly assigned to either the experimental group or the control group.

Intervention :

The experimental group will receive 12 weekly sessions of CBT, each lasting 60 minutes. The intervention will be delivered by licensed mental health professionals who have been trained in CBT. The control group will receive no intervention during the study period.

Data Collection:

Quantitative data will be collected through the use of standardized measures such as the Beck Depression Inventory-II (BDI-II) and the Generalized Anxiety Disorder-7 (GAD-7). Data will be collected at baseline, immediately after the intervention, and at a 3-month follow-up. Qualitative data will be collected through semi-structured interviews with a subset of participants from the experimental group. The interviews will be conducted at the end of the intervention period, and will explore participants’ experiences of receiving CBT.

Data Analysis:

Quantitative data will be analyzed using descriptive statistics, t-tests, and mixed-model analyses of variance (ANOVA) to assess the effectiveness of the intervention. Qualitative data will be analyzed using thematic analysis to identify common themes and patterns in participants’ experiences of receiving CBT.

Ethical Considerations:

This study will comply with ethical guidelines for research involving human subjects. Participants will provide informed consent before participating in the study, and their privacy and confidentiality will be protected throughout the study. Any adverse events or reactions will be reported and managed appropriately.

Data Management:

All data collected will be kept confidential and stored securely using password-protected databases. Identifying information will be removed from qualitative data transcripts to ensure participants’ anonymity.

Limitations:

One potential limitation of this study is that it only focuses on one type of psychotherapy, CBT, and may not generalize to other types of therapy or interventions. Another limitation is that the study will only include participants from community mental health clinics, which may not be representative of the general population.

Conclusion:

This research aims to investigate the effectiveness of CBT in reducing symptoms of depression in adults. By using a randomized controlled trial and a mixed-methods approach, the study will provide valuable insights into the mechanisms underlying the relationship between CBT and depression. The results of this study will have important implications for the development of effective treatments for depression in clinical settings.

How to Write Research Methodology

Writing a research methodology involves explaining the methods and techniques you used to conduct research, collect data, and analyze results. It’s an essential section of any research paper or thesis, as it helps readers understand the validity and reliability of your findings. Here are the steps to write a research methodology:

• Start by explaining your research question: Begin the methodology section by restating your research question and explaining why it’s important. This helps readers understand the purpose of your research and the rationale behind your methods.
• Describe your research design: Explain the overall approach you used to conduct research. This could be a qualitative or quantitative research design, experimental or non-experimental, case study or survey, etc. Discuss the advantages and limitations of the chosen design.
• Discuss your sample: Describe the participants or subjects you included in your study. Include details such as their demographics, sampling method, sample size, and any exclusion criteria used.
• Describe your data collection methods : Explain how you collected data from your participants. This could include surveys, interviews, observations, questionnaires, or experiments. Include details on how you obtained informed consent, how you administered the tools, and how you minimized the risk of bias.
• Explain your data analysis techniques: Describe the methods you used to analyze the data you collected. This could include statistical analysis, content analysis, thematic analysis, or discourse analysis. Explain how you dealt with missing data, outliers, and any other issues that arose during the analysis.
• Discuss the validity and reliability of your research : Explain how you ensured the validity and reliability of your study. This could include measures such as triangulation, member checking, peer review, or inter-coder reliability.
• Acknowledge any limitations of your research: Discuss any limitations of your study, including any potential threats to validity or generalizability. This helps readers understand the scope of your findings and how they might apply to other contexts.
• Provide a summary: End the methodology section by summarizing the methods and techniques you used to conduct your research. This provides a clear overview of your research methodology and helps readers understand the process you followed to arrive at your findings.

When to Write Research Methodology

Research methodology is typically written after the research proposal has been approved and before the actual research is conducted. It should be written prior to data collection and analysis, as it provides a clear roadmap for the research project.

The research methodology is an important section of any research paper or thesis, as it describes the methods and procedures that will be used to conduct the research. It should include details about the research design, data collection methods, data analysis techniques, and any ethical considerations.

The methodology should be written in a clear and concise manner, and it should be based on established research practices and standards. It is important to provide enough detail so that the reader can understand how the research was conducted and evaluate the validity of the results.

Applications of Research Methodology

Here are some of the applications of research methodology:

• To identify the research problem: Research methodology is used to identify the research problem, which is the first step in conducting any research.
• To design the research: Research methodology helps in designing the research by selecting the appropriate research method, research design, and sampling technique.
• To collect data: Research methodology provides a systematic approach to collect data from primary and secondary sources.
• To analyze data: Research methodology helps in analyzing the collected data using various statistical and non-statistical techniques.
• To test hypotheses: Research methodology provides a framework for testing hypotheses and drawing conclusions based on the analysis of data.
• To generalize findings: Research methodology helps in generalizing the findings of the research to the target population.
• To develop theories : Research methodology is used to develop new theories and modify existing theories based on the findings of the research.
• To evaluate programs and policies : Research methodology is used to evaluate the effectiveness of programs and policies by collecting data and analyzing it.
• To improve decision-making: Research methodology helps in making informed decisions by providing reliable and valid data.

Purpose of Research Methodology

Research methodology serves several important purposes, including:

• To guide the research process: Research methodology provides a systematic framework for conducting research. It helps researchers to plan their research, define their research questions, and select appropriate methods and techniques for collecting and analyzing data.
• To ensure research quality: Research methodology helps researchers to ensure that their research is rigorous, reliable, and valid. It provides guidelines for minimizing bias and error in data collection and analysis, and for ensuring that research findings are accurate and trustworthy.
• To replicate research: Research methodology provides a clear and detailed account of the research process, making it possible for other researchers to replicate the study and verify its findings.
• To advance knowledge: Research methodology enables researchers to generate new knowledge and to contribute to the body of knowledge in their field. It provides a means for testing hypotheses, exploring new ideas, and discovering new insights.
• To inform decision-making: Research methodology provides evidence-based information that can inform policy and decision-making in a variety of fields, including medicine, public health, education, and business.

Advantages of Research Methodology

Research methodology has several advantages that make it a valuable tool for conducting research in various fields. Here are some of the key advantages of research methodology:

• Systematic and structured approach : Research methodology provides a systematic and structured approach to conducting research, which ensures that the research is conducted in a rigorous and comprehensive manner.
• Objectivity : Research methodology aims to ensure objectivity in the research process, which means that the research findings are based on evidence and not influenced by personal bias or subjective opinions.
• Replicability : Research methodology ensures that research can be replicated by other researchers, which is essential for validating research findings and ensuring their accuracy.
• Reliability : Research methodology aims to ensure that the research findings are reliable, which means that they are consistent and can be depended upon.
• Validity : Research methodology ensures that the research findings are valid, which means that they accurately reflect the research question or hypothesis being tested.
• Efficiency : Research methodology provides a structured and efficient way of conducting research, which helps to save time and resources.
• Flexibility : Research methodology allows researchers to choose the most appropriate research methods and techniques based on the research question, data availability, and other relevant factors.
• Scope for innovation: Research methodology provides scope for innovation and creativity in designing research studies and developing new research techniques.

Research Methodology Vs Research Methods

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SYSTEMATIC REVIEW article

This article is part of the research topic.

Reviews in Gastroenterology 2023

Electrogastrography Measurement Systems and Analysis Methods Used in Clinical Practice and Research: Comprehensive Review Provisionally Accepted

• 1 VSB-Technical University of Ostrava, Czechia

The final, formatted version of the article will be published soon.

Electrogastrography (EGG) is a non-invasive method with high diagnostic potential for the prevention of gastroenterological pathologies in clinical practice. In this paper, a review of the measurement systems, procedures, and methods of analysis used in electrogastrography is presented. A critical review of historical and current literature is conducted, focusing on electrode placement, measurement apparatus, measurement procedures, and time-frequency domain methods of filtration and analysis of the non-invasively measured electrical activity of the stomach.As a result a total of 129 relevant articles with primary aim on experimental diet were reviewed in this study. Scopus, PubMed and Web of Science databases were used to search for articles in English language, according to the specific query and using PRISMA method. The research topic of electrogastrography has been continuously growing in popularity since the first measurement by professor Alvarez 100 years ago and there are many researchers and companies interested in EGG nowadays. Measurement apparatus and procedures are still being developed in both commercial and research settings. There are plenty variable electrode layouts, ranging from minimal numbers of electrodes for ambulatory measurements to very high numbers of electrodes for spatial measurements. Most authors used in their research anatomically approximated layout with 2 active electrodes in bipolar connection and commercial electrogastrograph with sampling rate of 2 or 4 Hz. Test subjects were usually healthy adults and diet was controlled. However, evaluation methods are being developed at a slower pace and usually the signals are classified only based on dominant frequency. The main review contributions include the overview of spectrum of measurement systems and procedures for electrogastrography developed by many authors, but a firm medical standard has not yet been defined. Therefore, it is not possible to use this method in clinical practice for objective diagnosis.

Keywords: electrogastrography, non-invasive method, Measurement systems, Electrode placement, Measurement apparatus, Signal processing

Received: 19 Jan 2024; Accepted: 03 Jun 2024.

Copyright: © 2024 Oczka, Augustynek, Penhaker and Kubicek. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Jan Kubicek, VSB-Technical University of Ostrava, Ostrava, 708 33, Moravian-Silesian Region, Czechia

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