When analyzing qualitative data, it's easy to get caught up in coding. But stopping to compare the data across participants, codes and coders is really important to build the context that helps you understand the data. Constant comparison method comes from grounded theory, but Dr Daniel Turner will show how it can be applied to any analytical approach.
The practical tutorial covers constant comparative analysis in qualitative data sources, within and between codes and themes, and between collaborators. It finishes with some key principles, and demonstrates how the simple qualitative analysis software Quirkos can help keep you close to your data, and constantly comparing it. Try Quirkos for free here: [ Ссылка ]
00:02 Intro
00:22 Within and Between
00:36 Three Things to Compare
01:12 Data sources
01:59 Compare data sources from same people
02:34 Compare events by time
03:05 Compare demographic groups
04:18 Incidents
04:51 Compare with literature
05:44 Compare everything!
06:14 Compare Codes/Themes
07:39 Compare as codes change
08:47 Compare within a code
09:21 Analytical writing
09:57 Comparing collaborators' coding
11:13 Embrace differences
11:54 Qualitative data analysis software helps collaboration
12:25 Key points
12:51 Always Be Comparing
14:00 Comparison should inform recruitment
15:55 Not just for Grounded Theory
16:44 How Quirkos can help constant comparison
17:34 Literature and writing up
18:21 Try Quirkos for free ([ Ссылка ])
