Applied Statistics for Research
Title: Applied Statistics for Research
Assignment Instructions: Module 4 – Case
Qualitative Data Analysis
Case Assignment
Based on your proposed DSP topic and construct(s) or variable(s) of interest, write a Research Question consistent with the Mixed Method Case Study design that reflects the need to perform Qualitative Analysis. Describe the distillation process of open, axial, and selective coding using a software program such as NVivo to make sense out of recorded and transcribed research participant interviews answering 3-5 self-created open-ended interview questions related to a self-selected construct of interest. Summarize the distillation process and propose a realistic “theme” that may help explain or describe the construct based on your interview questions.
Required Reading
Brown, J. (2022). Analyzing qualitative data. Mixed methods research for TESOL (pp. 91-117). Edinburgh University Press. Available in the Trident Online Library.
Brown, J. (2022). Analyzing MMR data. Mixed methods research for TESOL (pp. 118-144). Edinburgh University Press. Available in the Trident Online Library.
Farquhar, J. D. (2012). Managing and analysing data. In Case study research for business (pp. 84-99). London: SAGE Publications Ltd (SAGE Research Methods Database). Retrieved from the Trident Online Library.
Gibbs, G. R. (2018). Thematic coding and categorizing. Analyzing qualitative data (Second ed., pp. 53-74). SAGE Publications, Limited. Available in the Trident Online Library.
Tight, M. (2017). Case studies in mixed/combined research designs. In Case Studies in Mixed/Combined Research Designs (pp. 94-111). SAGE Publications Ltd, Available in the Trident Online Library.
Tight, M. (2017). Method, analysis and report in case study. In Method, Analysis and Report in Case Study (pp. 165-187). SAGE Publications Ltd, Available in the Trident Online Library.
Trainor, A. A. (2013;2012;). Interview research. In A. A. Trainor, & E. Graue (Eds.), Reviewing qualitative research in the social sciences (1st ed., pp. 125-138). Routledge. Available in the Trident Online Library.
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