Dr Melanie Farlie is a Senior Lecturer in Monash University's Department of Physiotherapy. Mel is an educator, physiotherapy researcher and developer of the Balance Intensity Scale.
In part 4 of this four-part series, Mel finishes her quality appraisal of the quality of the study by Katherine Lawler and colleagues. Mel demystifies the process of data analysis in qualitative research and gives us some tips for using qualitative research in our study and clinical practice.
Access the study here: https://doi.org/10.1080/09638288.2024.2343822
Follow along using the COREQ checklist here: https://www.equator-network.org/reporting-guidelines/coreq/
In this episode:
0:00 Introduction to the episode
1:14 Who did the data analysis? Knowledge and perspectives of the team. Naming and identification of themes? The coding tree. Why does this matter?
5:45 How are themes identified? The coding lens – perspectives of the researchers. The inductive process - using the words of the people to make codes, vs predetermined themes.
10:42 Are there times when it is more appropriate to use a deductive process?
12:15 Relating qualitative research to what we do in the clinic, e.g. a subjective assessment
14:45 The difference between how you collect vs analyse data. Open vs closed questions
16:50 Software for qualitative analysis, feedback from participants on findings
18:20 Where should a busy clinician start? Look at the quotes from participants. Is there consistency between the data and the author’s findings? Is there diversity of opinions in the report?
28:03 Final thoughts – try to engage with research evidence. Resources to look at to get started and progress your qualitative research skills
Read more about Dr Melanie Farlie here: https://research.monash.edu/en/persons/melanie-farlie
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This is a discussion aimed at health professionals and health professional students. Always seek the guidance of a qualified health professional with any questions you may have regarding your health or a medical condition.
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