Hello everyone, I intend to use a parent case study that includes a nested convergent mixed method design to study the barriers and facilitators that influence midwives in accessing continuous professional development programs (CPD) in two hospitals
In the first phase I will conduct a documentary analysis to establish the existing CPD context; in phase two I will use a survey to measure knowledge, training needs and preferences; and in phase three I will conduct one on one interviews to explore the barriers and facilitators of engagement.
Now the issue is, is this a single or multiple case study? I was thinking of using a single case (the phenomenon) with multiple embedded units of analysis (first unit: hospitals, second unit: individual midwives). What do you think? I intend to integrate the data by merging to achieve more complete case understanding.
Also how do I calculate the sample for quantitative data collection? One hospital has 320 midwives and the other has 32.
Lastly can I conduct cross case comparison of sites in an embedded design?
Good morning
If you want to review my Doctoral Thesis it is mixed, it is in Spanish
Best regards
Ingrid García
I think the mixed method approach causes headache somewhat. So, do you have to do your case study with this approach?
I would say this is a single, bounded case study, focusing on a specific population, that of midwives in two hospitals, involving mixed methods. I would say you can do cross comparison as well as overall analysis. But look at Yin (2003) and Scholz (2011) for further clarification.
I would select at least 15 midwives from each hospital, to give you at least 30 questionnaires for quantitative analysis. Add more if you can but that is the minimum number for results to be statistically significant. Then choose a maximum of 12 interviews from that sample. That gives you plenty to work with in addition to the documentary analysis.
Have a look at these:
http://www.qualitative-research.net/index.php/fqs/article/view/2655/4079
Article Case Study Method for Design Research: A Justification
Best wishes for your research!
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