A Comparative Analysis of Qualitative and Quantitative Research Methods and a Justification for Adopting Mixed Methods in Social Research.
KeywordQualitative research methods; Quantitative research methods; Mixed methods research; Social research paradigms
Rights© 2014 The Author. Reproduced by permission from the copyright holder.
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AbstractThe aim of this review is to create awareness about uses of available social research methods and to provide a guideline in adopting appropriate methods specifically in qualitative and mixed methods research genre. Based on the review of contemporary social research methods I believe that mixed methods research produces more accurate results than relying on either qualitative or quantitative methods alone in explaining complex social issues. This paper contributes to the methodological literature in two areas. First, create awareness among social researchers and students about the available research methods in order to help them to adopt suitable research designs in addressing their particular research questions. Second, encourage scholars from all disciplines to theorize further, especially in the field of mixed methods, and engage in a dialogue in order to improve methodological appropriateness for future research in social sciences.
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CitationHaq M (2014) A comparative analysis of qualitative and quantitative research methods and a justification for use of mixed methods in social research. Annual PhD Conference, University of Bradford School of Management. June 2014.
NotesPlease Note: The "Publication Date" of 2005 is the date added to the Bradford Scholars Repository. The paper was presented at the Annual PhD Conference, University of Bradford School of Management in June 2014.
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Patients as qualitative data analysts: Developing a method for a process evaluation of the ‘Improving the Safety and Continuity of Medicines management at care Transitions’ (ISCOMAT) cluster randomised control trialPowell, Catherine; Ismail, Hanif; Cleverley, R.; Taylor, A.; Breen, Liz; Fylan, Beth; Alderson, S.L.; Alldred, D.P. (2021)Background: How to meaningfully partner with patients as data analysts remains obscure. A process evaluation of the ‘Improving the Safety and Continuity Of Medicines management at care Transitions’ (ISCOMAT) cluster randomised control trial of an intervention for improving medicines use for people living with heart failure is being conducted. The intervention includes patient held information on heart medicines and care, enhanced communication between hospital and community pharmacists, and increased engagement of community pharmacists with patient care post-hospital discharge. ISCOMAT patients living with heart failure were interviewed about experiences with the intervention. We sought to gain insights from patients on data collected to enhance our understanding of experiences with the intervention. Objective: To develop a method for involving patients as analysts of qualitative data in a process evaluation. Design: Patients and researchers co-analysed qualitative data. A framework method was applied involving; familiarisation, coding, developing an analytical framework and interpretation. The process was facilitated through home working and a workshop with a training component. Results: The co-designed framework enabled researchers to map all further patient interview data. Patients' specialist knowledge enhanced understanding of how the ISCOMAT intervention can be best implemented. Conclusions: Patients’ unique experiences can enhance validity and rigour in data analysis through sharing their interpretations of qualitative data. The involvement process is crucial in elucidating knowledge and avoiding tokenism. As analysts, patients gain an appreciation of research processes, building trust between researchers and patients. Group dynamics and involving patients throughout the whole research process are important considerations.
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