1. PaCTT Project Qualitative data analysis workshop
University of Zilina, Slovakia
24th July 2012

2. Key Principles Glaser & Strauss (1967) Inductive
Allows data to inform discover of theory
multiple sources of data – inc individuals who do not share a common culture
No reliance on extant theory
Not intended to guarantee that two analysts working independently will achieve the same results
Data collection, coding and analysis occur concurrently
Research enters the field & discovers the main concerns of participants and the way they resolve these problems

3. GT processes Conventional approach GT approach Collect data
Analyse data
Develop theories or hypothesis
Read literature to explain findings
Read literature
Formulate Hypothesis
Collect data
Test hypothesis with data

4. Stages Identification of an area of interest
Theoretical sampling – data collection + memoing
Constant comparison – concurrent process of coding and analysing
1st level coding - open coding – looking for patterns
2nd level coding – selective coding - Identification of core categories (most dense)
3rd level coding – theoretical coding
Saturation – point at which data yields no new codes
Theory building – basic social processes (represents a major process of the phenomena under study)

5. Constant comparison Data set n Data set n+ n Data collection
Note- taking
Coding
Memo-ing
Data Collection
Note-taking
Coding
Memo-ing
Glaser 1967, 1978, 1992, 1998, 2001 cited in Jones et al 2005)

6. PaCTT project
Data collection and memoing (Bulgaria interviews = n, Portugal = n + n2, Slovakia = n n2 + n3)
Open Coding
Selective coding
More data collection (UK, Turkey, France – saturation?)
Theoretical coding

7. So that we can….
“The best way to Grounded Theory is just to do it….” (Glaser and Holton, 2004)