qual meths Flashcards
qual research strength
meaningful data
not reduced to numbers
maintains rich informative
allows for priliminary understanding of an area?
qual research weaknesses (criticisms)
subjective, influenced by bias (e.g. the walking about from the room study - bargh et al 1996 does not represent a pop'n (but not designed to) cannot replicate (but not designed to) is not systematic (cherry picking) but if done correctly then it is as systematic as quant
aims of qual
simple language rapport with respondent open ended Qs prompt when needed engage in active listening
focus groups
want discussion dynamic to emerge children appropriate- comfortable with classmates ppts may benefit from dynamic might find responses didn't expect might drift away from focus dominant personality take over conformity to the group
quant research
objective focus on generalising hyp tested controlled experiment numbers deductive measure response to statistically annuls a phenomenon
qual research
reflexive- acknowledge position as a researcher collect rich accounts of phenomenon to explore experience focus on case studies develop themes create a theory open Qs words inductive
deductive themes
based on predefined topic area
inductive themes
emerge from the data
guide for content analysis
1) familiarise yourself with data
2) generate intitial codes
3) search for themes
4) review themes
5) count frequency each theme is mentioned
6) inter rater reality check second coder develops the their own themes for comparison
7) produce report (no inferential stats)
thematic analysis
aims to indentify themes in the data
that capture something important about what the data represent
phase 1 of thematic analysis
familiarise yourself with the data
transcribe
read and re-read
phase 2 of thematic analysis
generate intial codes
codes are meaningful groups
note down short comments on segments of the data
coding may be deductive - based on literature
or inductive - emerge
difference between content and thematic
content: indentifying patterns across qualitative data- mirror frequency counts of themes
can be converted to quant
thematic: retains its descriptive patterns