In this article, you will find different examples of research proposals with research proposal samples.
A research proposal’s objective is to establish the viability of a project and the researcher’s readiness to perform an academic study. It provides the researcher with a route map.
The process has inner value (helping the researcher explain the mechanics, purpose, and possible significance of the study) as well as external value (as a means of accountability and frequently as a requirement for a grant application).
A research proposal should have the following important sections:
- Literature Review
- Research design
- Outcomes and Implications
Each is described briefly below.
Structure of a Research Proposal Sample
Title: The title should give a brief and descriptive phrase that clearly represents the primary idea of the research projects. Provide as much detail as you can. The main idea of the planned study topic should be clear to the reader right away. A lot of the time, the title is left too ambiguous and does not clarify exactly what the study looks at.
An abstract is a summary of the study that usually lasts between 250 and 300 words. It covers the research problem, objectives, method, anticipated results, and significance of the study. Use it as a guide to make sure readers will have a decent overview of the topics covered in it, even if they simply read the abstract.
Introduction: Contextualization is the key to introductions. They frequently begin by stating the problem and providing background information. The reader needs to comprehend the true purpose of the study at the end of the introduction. I prefer to gain a clear idea of the significance of the research and to see the research questions or hypotheses presented in the introduction.
Literature Review: This section goes deeply into the body of research already done on this topic, showcasing your command of the themes, advantages, disadvantages, and gaps in the body of knowledge. It does two things: it shows how knowledgeable you are about this topic and how the suggested study will complement existing research on the subject. A strong literature review will show how your research will add something fresh and original to the discussion in the literature at the end.
Research Methods: This section must distinctly outline the methodical, academically sound procedures that will be followed in the collection and analysis of the data. Here is where you have to show that your research will yield accurate and reliable results. Highlighting the study paradigm, methodologies, the target population or sample to be examined, data collection methods, and data analysis processes are common topics covered in the research design and methods section. You must address ethical issues and the limitations of the research process at the end of this section. You should also justify your research design decision and describe how you are reducing the risks and limitations that were found.
Duration: Describe in general terms when you expect the study to be completed. Analyse it and break it down into its various stages (data collecting, data analysis, report writing).
This part aims to:
(1) Provide you with a reasonable step to follow
(2) Show the examiners that your proposal is both feasible and achievable.
Budget: Determine how much the research project will cost and provide evidence to support your estimates. Costs associated with hiring personnel, purchasing supplies, traveling, and obtaining data are typical. Your budget should show that you are managing your expenses wisely and that your funding request is realistic when you apply for a scholarship.
Expected Outcomes and Implications: An explanation of the research’s expected conclusions or findings, together with any possible additions to the body of knowledge, theory, or practice currently in the subject. Included in this section should be the research’s possible effects on relevant stakeholders as well as any wider implications for practice or policy.
Appendices (if applicable): Any extra materials that supplement the research proposal with information or support, such as consent forms, interview guides, or questionnaires. The appendices for these materials ought to be towards the end of the document.
Purpose of a Research Proposal
Academics frequently find themselves composing research proposals to secure funding for their projects. As a student, you may encounter the need to craft a research proposal when applying for graduate school or before embarking on your thesis or dissertation journey. Beyond assisting you in shaping the scope of your research, a proposal also serves as a means to showcase the reasons why your project is worth pursuing to potential funders, educational institutions, or supervisors.
Objectives of a Research Proposal
Relevance: Explain to the reader the significance, originality, and interest of your project.
Context: Demonstrate your familiarity within your academic field. Illustrate your comprehension of the current state of research in your chosen topic area.
Approach: Build a compelling case for your chosen research methodology. Show that you have given careful consideration to the data, tools, and methods required to carry out your research.
Achievability: Verify that your project can be completed by the program’s or funding’s deadline.
Length of a Research Proposal
There is a wide range of acceptable proposal lengths for academic research. A proposal for a bachelor’s or master’s thesis may only consist of a few pages, however proposals for PhD dissertations or research funding typically require much more space and depth. You can get assistance from your supervisor in deciding how long your work should be.
Your proposal’s structure can be thought of as a shorter form of thesis or dissertation, without the results, conclusion and discussion chapters.
Research Proposal Sample
This sample research proposal is 2,500 words long. This word count may be challenging for you to fit everything into, but it’s common for honors and MA-level dissertations.
|Title||Make sure the study’s focus is stated in a single, concise sentence.|
|Abstract (Words: 200)||• Briefly outline the research topic in your abstract.|
• Summarize the research problem or problem.
• Describe the methods and research design.
• Talk about the expected results and their implications.
|Introduction (Words: 300)||• Introduce the topic of the research and its importance. |
• Explain the research problem and clearly state the research question.
• Describe the objectives and purpose of the research.
• Give a brief overview of the research methodology.
|Literature Review (Words: 800)||• Divide the body of existing literature into major concepts and topics.|
• Examine and contrast the literature’s main concepts and topics.
• Identify gaps in the literature.
• Describe how the current study will add to the body of knowledge.
|Research Methods (Words: 800)|
• Which type of study design—qualitative, quantitative, or mixed-methods—are you using?
• Describe the techniques used to collect the data (such as surveys, interviews, and observations).
• Describe the target population and the sampling procedure
• Describe the methods used for data analysis (such as statistical and thematic analysis).
• Describe your processes for validity and reliability.
• Describe the ethical procedures you plan to follow.
• Discuss the limitations of the study design.
|Duration (single-page table)||• Describe the research duration in general terms.|
• Divide the research into sections that have deadlines (report writing, data collection, analysis).
• Add any due dates or milestones that are important.
|Budget (200 words)||• Calculate how much the research project will cost.|
• Describe particular costs (participant incentives, materials, travel charges, etc.).
• Give the budget items’ essential reasons.
• Any funding sources or grant applications should be mentioned.
|Expected Results and Implications (200 words)||• Write a summary of the study’s expected conclusions or results. |
• Talk on how the results might affect theory, policy, practice.
• Explain any possible limitations of the study.
Example #1 research proposal
Title: The Impact of Social Media Usage on Mental Health Among Adolescents
Abstract: This research proposal aims to investigate the impact of social media usage on the mental health of adolescents, utilizing a longitudinal mixed-methods approach. By combining quantitative surveys and qualitative interviews, The goal of this research is to investigate the relationship between adolescent mental well-being and social media use.
Introduction: Adolescents today are avid users of social media platforms yet concerns about the potential negative effects on their mental health have grown. This study addresses the need to understand how social media impacts the mental health of adolescents, examining both positive and negative aspects.
Literature Review: The literature review highlights the diverse findings on the effects of social media usage on adolescent mental health. While some studies suggest that social media can foster social connections and provide support, others indicate associations with increased anxiety, depression, and loneliness. This study aims to contribute to this literature by examining these effects over time.
- Research Design: A longitudinal mixed-methods design will be employed, involving both quantitative surveys and qualitative interviews.
- Data Collection Methods: Quantitative data will be collected through surveys measuring social media usage patterns and mental health indicators at multiple time points. Qualitative data will be gathered through semi-structured interviews to explore participants’ experiences and perceptions.
- Sampling Strategy: Adolescents aged 13 to 18 (n = 500) from diverse backgrounds will participate in this study. Data will be collected at three time points to examine changes over a year.
- Data Analysis Techniques: Quantitative data will undergo statistical analysis, including regression analysis, to identify associations between social media usage and mental health. Qualitative data will be analyzed thematically to provide context and deeper insights.
- Validity and Reliability Procedures: Rigorous validation and reliability checks will be conducted to ensure the credibility and trustworthiness of the study’s findings.
Duration: The duration of the study is one year, and data will be collected at three intervals: baseline, six months, and one year.
Budget: Budgetary requirements will include survey administration costs, incentives for participants, interview transcription services, and data analysis software. Funding sources will be explored to support the study’s implementation.
Expected Outcomes and Implications: Anticipated outcomes include a nuanced understanding of how social media usage patterns relate to the mental health of adolescents over time. The study’s findings can inform parents, educators, and policymakers about the potential risks and benefits of adolescent social media engagement, leading to improved support systems and interventions.
Example #2 research proposal
Title: Examining the Effectiveness of Trauma-Informed Care in Supporting Survivors of Domestic Violence
Abstract: This research proposal aims to assess the effectiveness of trauma-informed care (TIC) interventions in providing support to survivors of domestic violence. Employing a mixed-methods approach, the study will combine quantitative surveys and qualitative interviews to evaluate the impact of TIC on survivors’ well-being and recovery.
Introduction: Survivors of domestic violence often experience severe psychological and emotional trauma. Trauma-informed care is gaining recognition as an approach that considers the impact of trauma on individuals and tailors support accordingly. This study addresses the need to understand the effectiveness of TIC in assisting domestic violence survivors.
Literature Review: The literature review examines existing research on the outcomes of trauma-informed care for survivors of domestic violence. While some studies suggest that TIC can lead to improved mental health, increased empowerment, and reduced re-victimization, there is a need for further investigation to confirm these effects.
- Research Design: A mixed-methods design will be used, incorporating both quantitative surveys and qualitative interviews.
- Data Collection Methods: Quantitative data will be gathered through surveys assessing survivors’ mental health, empowerment, and experiences with TIC interventions. Qualitative data will be collected via semi-structured interviews to explore participants’ perspectives and narratives.
- Sampling Strategy: A purposive sampling strategy will be employed, targeting adult survivors of domestic violence who have received trauma-informed care services (n = 150). Participants will represent diverse backgrounds and experiences.
- Data Analysis Techniques: Quantitative data will undergo statistical analysis, including regression analysis, to assess the impact of TIC on survivors’ outcomes. Qualitative data will be analyzed thematically to provide in-depth insights into survivors’ experiences.
- Validity and Reliability Procedures: Rigorous validation and reliability checks will be conducted to ensure the credibility and trustworthiness of the study’s findings.
Duration: The study will be conducted over a period of 18 months, encompassing recruitment, data collection, analysis, and report writing.
Budget: Budgetary requirements will include survey administration costs, incentives for participants, interview transcription services, and data analysis software. Collaboration with local domestic violence support organizations will be explored to secure resources.
Expected Outcomes and Implications: This research aims to contribute evidence on the effectiveness of trauma-informed care in supporting survivors of domestic violence. Anticipated outcomes include insights into the impact of TIC on survivors’ mental health, empowerment, and recovery. The findings can inform the improvement of services and interventions for survivors of domestic violence, ultimately enhancing their well-being and quality of life.
Example #3 research proposal
Title: The Impact of Nursing Shortages on Patient Outcomes in Critical Care Settings
Abstract: This research proposal aims to investigate the influence of nursing shortages on patient outcomes in critical care units. Utilizing a quantitative research design, the study will analyze patient data and nurse-to-patient ratios to assess the potential implications of understaffing on critical care patient health.
Introduction: Nursing shortages have become a widespread issue in healthcare, particularly in critical care units where patient conditions are often life-threatening. This study seeks to explore the possible connections between nursing shortages and adverse patient outcomes in such high-stress environments.
Literature Review: Existing literature highlights the critical role of nurses in delivering quality care and emphasizes the negative consequences of understaffing. While some studies suggest a correlation between nursing shortages and increased mortality rates, further research is required to establish a definitive link.
- Research Design: A quantitative research design will be employed, utilizing patient data from critical care units.
- Data Collection Methods: Data on patient outcomes, nurse-to-patient ratios, and other relevant variables will be collected from electronic health records. Patient outcomes will include mortality rates, length of stay, and incidence of adverse events.
- Sampling Strategy: A retrospective cohort sampling strategy will be used to access historical patient data from critical care units in multiple healthcare facilities.
- Data Analysis Techniques: Statistical analysis, including regression analysis and chi-square tests, will be conducted to identify potential correlations between nursing shortages and patient outcomes.
- Validity and Reliability Procedures: Rigorous data validation and reliability checks will be carried out to ensure the accuracy and consistency of the findings.
Duration: The study will span a duration of 12 months, comprising data collection, analysis, and report writing.
Budget: Budgetary requirements will include access to electronic health records, data analysis software, and the appropriate statistical competence.
Expected Outcomes and Implications: This research aims to provide evidence regarding the impact of nursing shortages on patient outcomes in critical care settings. Anticipated outcomes include insights into the relationship between nurse staffing levels and patient mortality, length of stay, and adverse event rates. The findings can inform healthcare policy, staffing decisions, and resource allocation to improve patient care in critical care units.
Example #4 research proposal
Title: The Impact of Artificial Intelligence Integration on Project Management in Technology Firms
Abstract: This research proposal aims to investigate the influence of artificial intelligence (AI) integration on project management practices in technology firms. Employing a mixed-methods approach, this study will explore how AI technologies affect project planning, execution, and outcomes in the dynamic field of technology management.
Introduction: The rapid evolution of technology demands innovative solutions for efficient project management. This study seeks to explore the integration of artificial intelligence into project management processes and assess its impact on the successful delivery of technology projects.
Literature Review: The literature review will delve into the growing body of research on AI applications in project management. While AI has demonstrated potential benefits in automating tasks and predicting project risks, its specific influence on technology project management remains underexplored.
Research Design and Methods:
- Research Paradigm: A combination of positivist and interpretivist paradigms will be adopted to account for both quantitative and qualitative data.
- Research Design: A mixed-methods research design will be employed, comprising surveys and interviews.
- Data Collection Methods: Surveys will collect quantitative data on AI integration and project outcomes, while semi-structured interviews with project managers and team members will provide qualitative insights into their experiences.
- Sampling Strategy: Technology firms from various sectors will be selected for participation in the study. Random sampling will be used for surveys, and purposive sampling for interviews.
- Data Analysis Techniques: Quantitative data will be analyzed using statistical methods, and qualitative data will undergo thematic analysis.
- Validity and Reliability Procedures: Surveys will undergo pilot testing to ensure validity, and interviews will be independently coded and cross-checked for reliability.
Duration: The research is expected to span 18 months, encompassing survey distribution, data collection, analysis, and report writing.
Budget: Budgetary requirements will cover survey software, interview transcription services, and data analysis tools.
Expected Outcomes and Implications: This study aims to provide insights into the impact of AI integration on technology project management. Anticipated outcomes include a better understanding of how AI technologies affect project efficiency, risk mitigation, and overall project success. The findings can inform technology firms on the optimal use of AI in project management, potentially leading to improved project outcomes, reduced costs, and enhanced competitiveness.