How To Achieve Grade A+ in Your Postgraduate Dissertation Using Mixed Methods Research
Introduction
Achieving a Grade A+ in your postgraduate dissertation is the aspiration of every diligent student. With the increasing emphasis on comprehensive research approaches, mixed methods research (MMR) has become a popular choice for scholars across various disciplines. This approach, which combines both qualitative and quantitative research methods, provides a holistic perspective on the research problem, thereby enhancing the validity and reliability of the study. This guide offers a step-by-step approach to employing mixed methods research in your dissertation, drawing on established frameworks such as the Saunders Research Onion and referencing key academic sources.
Understanding Mixed Methods Research
Mixed methods research (MMR) integrates qualitative and quantitative data collection and analysis techniques, offering a balanced approach to understanding complex research problems. According to Venkatesh et al. (2013), MMR allows researchers to triangulate data, thereby providing a more comprehensive view of the research question. This approach is particularly beneficial in postgraduate dissertations, where the complexity of the research problem often necessitates multiple perspectives.
Step 1: Defining Your Research Problem and Objectives
The first step in any research journey is to clearly define your research problem and objectives. These form the foundation of your study, guiding the choice of methodology and influencing the overall research design. When using MMR, your research objectives should reflect the need for both qualitative and quantitative insights. This dual focus ensures that your study captures the nuances of the research problem while providing measurable outcomes. As noted by Iovino and Tsitsianis (2020), well-defined research objectives are crucial for guiding the research process. These objectives should be Specific, Measurable, Achievable, Relevant, and Time-bound (SMART). By aligning your research objectives with the principles of MMR, you can ensure that your dissertation addresses the research problem comprehensively.
Step 2: Applying the Saunders Research Onion Framework
The Saunders Research Onion framework provides a systematic approach to designing your research methodology. This model, introduced by Saunders et al. (2019), outlines the various layers of research design, from the outermost layer of research philosophy to the innermost layer of data collection techniques. When using MMR, the research onion framework can help you navigate the complexities of combining qualitative and quantitative methods. For instance, you may start by selecting an interpretivist research philosophy for the qualitative component of your study, while adopting a positivist stance for the quantitative component. This dual approach allows you to explore the subjective experiences of your participants while also analyzing measurable data. According to Melnikovas (2018), the research onion model is particularly useful for postgraduate students as it provides a clear roadmap for developing a robust research design. By carefully considering each layer of the onion, you can ensure that your research methodology aligns with your study objectives and research questions.
Step 3: Designing Your Survey Questionnaire
A critical aspect of MMR is the design of your survey questionnaire, which should include both open-ended and closed-ended questions. The open-ended questions are designed to elicit qualitative data, capturing the depth and complexity of the respondents’ experiences. In contrast, closed-ended questions are used to gather quantitative data, providing measurable insights into the research problem. According to Roopa and Rani (2012), a well-designed survey questionnaire should align with the study objectives and be structured in a way that facilitates data analysis. This involves carefully crafting questions that are clear, concise, and relevant to the research problem. When designing your survey, consider using Likert scales for closed-ended questions to quantify respondents’ attitudes, while open-ended questions should be broad enough to encourage detailed responses.
Step 4: Ethical Considerations in Mixed Methods Research
Ethical considerations are paramount in any research project, particularly when dealing with human participants. In MMR, ethical issues must be addressed in both the qualitative and quantitative components of the study. Key ethical considerations include informed consent, privacy and confidentiality, anonymity, data protection, voluntary participation, and the right to withdraw. Resnik (2020) emphasizes the importance of informed consent, where participants are fully aware of the nature of the research and their role in it. This involves providing clear information about the study’s objectives, methods, and potential risks. Privacy and confidentiality must be maintained at all stages of the research process, ensuring that participants’ identities are protected. Furthermore, ethical considerations also extend to data analysis, where researcher bias and objectivity must be carefully managed. According to Al-Ababneh (2020), maintaining objectivity is crucial in MMR, as it ensures that the research findings are valid and reliable.
Step 5: Data Collection Methods
The data collection phase in MMR involves gathering both qualitative and quantitative data from your study participants. This typically involves administering your survey questionnaire to a representative sample of your target population. The qualitative data, collected through open-ended questions, provides rich insights into the respondents’ experiences, while the quantitative data, gathered from closed-ended questions, offers measurable evidence to support your research findings. As noted by Taherdoost (2021), the choice of data collection methods should be guided by the study objectives and the nature of the research problem. In MMR, it is essential to ensure that both types of data are collected systematically and in a way that allows for meaningful integration during the analysis phase.
Step 6: Data Analysis
Data analysis in MMR involves a combination of thematic analysis for qualitative data and empirical analysis for quantitative data. Thematic analysis, as described by Braun and Clarke (2006), involves identifying, analyzing, and reporting patterns or themes within the qualitative data. This method allows you to explore the underlying meanings and interpretations of the respondents’ experiences. For the quantitative data, empirical analysis can be conducted using statistical software such as SPSS or MS Excel. This involves analyzing the data to identify trends, correlations, and significant differences, thereby providing measurable insights into the research problem. Naeem et al. (2023) highlight the importance of integrating the findings from both qualitative and quantitative analyses to provide a comprehensive understanding of the research problem. This integration can be achieved through a process known as triangulation, where the findings from each method are compared and contrasted to identify areas of agreement and contradiction.
Step 7: Presenting Your Findings
The presentation of your research findings is a crucial step in achieving a Grade A+ in your dissertation. This involves clearly and systematically presenting the results of both the qualitative and quantitative analyses. When presenting qualitative findings, it is essential to use direct quotes from the participants to illustrate key themes, while quantitative findings should be presented using tables, charts, and graphs to highlight the statistical evidence. According to Zolfagharian et al. (2019), the key to a successful dissertation is the ability to synthesize and interpret the research findings in a way that adds value to the existing body of knowledge. This involves critically evaluating the findings, highlighting areas of agreement with previous studies, and identifying any contradictions or gaps in the literature.
Step 8: Discussing the Implications of Your Research
The discussion section of your dissertation is where you interpret the findings in the context of the existing literature. This involves exploring the implications of your research for theory, practice, and future research. In MMR, it is important to consider how the integration of qualitative and quantitative findings contributes to a deeper understanding of the research problem. Oberholzer and Buys (2023) emphasize the importance of linking the research findings to the broader theoretical framework, thereby demonstrating the study’s contribution to the academic discourse. Additionally, the discussion should also address the practical implications of the research, highlighting how the findings can inform policy, practice, or future research in the field.
Step 9: Conclusion and Recommendations
The conclusion of your dissertation should provide a concise summary of the key findings and their implications. This section should also include recommendations for future research, based on the limitations of the current study and the gaps identified in the literature. In MMR, it is important to consider how future studies can further explore the research problem using different methods or approaches. As noted by Singh (2006), the conclusion should not introduce new information but rather synthesize the key points discussed throughout the dissertation. By clearly articulating the significance of your research and offering practical recommendations, you can demonstrate the value of your study to both academic and professional audiences.
Step 10: Ensuring Compliance with Ethical Standards
Finally, it is essential to ensure that your dissertation complies with all ethical standards, as this is a key criterion for achieving a Grade A+. This involves providing evidence of informed consent, maintaining confidentiality and anonymity, and ensuring that the research was conducted with integrity and objectivity. According to Alhojailan (2012), ethical compliance not only protects the rights of the participants but also enhances the credibility and validity of the research findings.
Conclusion
Achieving a Grade A+ in your postgraduate dissertation using mixed methods research is a challenging but rewarding process. By following the step-by-step guide outlined in this article, you can ensure that your dissertation is methodologically sound, ethically compliant, and academically rigorous. From defining your research problem and designing your survey questionnaire to analyzing the data and presenting your findings, each step is crucial to the success of your research. By integrating both qualitative and quantitative methods, you can provide a comprehensive and nuanced understanding of the research problem, thereby enhancing the overall quality of your dissertation.
In conclusion, the successful application of mixed methods research in your dissertation requires careful planning, systematic execution, and critical evaluation of the findings. By adhering to the guidelines provided in this article and drawing on the insights from the referenced academic sources, you can achieve the highest academic standards and make a meaningful contribution to your field of study.
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About the Author
Emmanuel Ndubuka has been a management consultant, business developer, project manager, and career mentor for over 23 years. He is also a Certified Management Consultant, accredited by the International Council of Management Consulting Institutes. He holds a Master of Science in Engineering Project Management from Coventry University, UK, and has extensive experience in various fields of higher education. Emmanuel is deeply committed to human capital development and has a profound understanding of the challenges faced by international students. For these reasons, he has continued to equip hundreds of youths with the knowledge they need to excel academically and advance their careers on an international scale.
References
Al-Ababneh, M. (2020). Linking ontology, epistemology and research methodology. Science & Philosophy, 8(1), 75–91.
Alhojailan, M. I. (2012). Thematic analysis: A critical review of its process and evaluation. In WEI international European academic conference proceedings, Zagreb, Croatia.
Arbale, H., & Mutisya, D. N. (2024). Book Review: “Research Methods for Business Students” by Mark NK Saunders, Philip Lewis, and Adrian Thornhill (Pearson Education, 2019). African Quarterly Social Science Review, 1(2), 8–21. DOI: https://doi.org/10.51867/AQSSR.1.2.2
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Iovino, F., & Tsitsianis, N. (2020). The methodology of the research. In Changes in European energy markets (pp. 79–95). Emerald Publishing Limited.
Melnikovas, A. (2018). Towards an Explicit Research Methodology: Adapting Research Onion Model for Futures Studies. Journal of futures Studies, 23(2).
Naeem, M., Ozuem, W., Howell, K., & Ranfagni, S. (2023). A step-by-step process of thematic analysis to develop a conceptual model in qualitative research. International Journal of Qualitative Methods, 22, 16094069231205789.
Oberholzer, M., & Buys, P. W. (2023). A Roadmap to Business Research. In Business Research: An Illustrative Guide to Practical Methodological Applications in Selected Case Studies (pp. 11–40). Singapore: Springer Nature Singapore.
Resnik, D. (2020, December 23). What is ethics in research & why is it important? National Institute of Environmental Health Sciences. https://www.niehs.nih.gov/research/resources/bioethics/whatis
Roopa, S., & Rani, M. S. (2012). Questionnaire designing for a survey. Journal of Indian Orthodontic Society, 46(4_suppl1), 273–277.
Saunders, M. N. K., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson Education.
Singh, Y. K. (2006). Fundamentals of Research Methodology and Statistics. New Age International (P) Ltd., Publishers.
Taherdoost, H. (2021). Data collection methods and tools for research: A step-by-step guide to choose data collection technique for academic and business research projects. International Journal of Academic Research in Management (IJARM), 10(1), 10–38. https://doi.org/ffhal-03741847f
Venkatesh, V., Brown, S. A., & Bala, H. (2013). Bridging the Qualitative-Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems. MIS Quarterly, 37(1), 21–54. http://www.jstor.org/stable/43825936
Zolfagharian, M., Walrave, B., Raven, R., & Romme, A. G. L. (2019). Studying transitions: Past, present, and future. Research Policy, 48(9), 103788.
