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The mechanics for organising the data were based on the descriptive analysis technique as outlined by Terre Blanche, et al, (2006; 252)
The data analysis was managed thematically. The categories and themes were the categories and themes used in the interview guide and supplemented by the literature review.
The production of a convincing narrative report of the research has most often served as de facto validation, even if the only thing it validates is the researchers writing skills rather than his or her observational capacities [Kuklick in Denzin and Lincoln (2008; 163)]. McMillan and Schumacher (2001; 478) concur when they state that selecting trustworthy data also involves an awareness of the researchers assumptions, predispositions and influence on the social situation.
Qualitative researchers generally validate their data by means of triangulation. Denzin in McMillan and Schumacher (2001; 478) explain triangulation as the cross-validation among data sources, data collection strategies, time periods and theoretical schemes. To find regularities in the data the researcher compares different sources, situations and methods to see whether the same pattern keeps recurring – a theme could be cross checked by comparing data found in artefact collection (minutes, memos and so on), informant interviews (principals, teachers, and so on) and field observations, as illustrated in figure 7. Flick in Denzin and Lincoln (2008; 7) state that qualitative research is inherently multi-method in focus, – the use of multiple methods or triangulation reflects an attempt to add rigour, breadth, complexity, richness and depth to any inquiry. Triangulation is not a tool or strategy for validation but and alternative to validation.
Figure 7: Triangulation for Logical Pattern
Artefact Informants
Collection
Social Scene
or
Process
Field
Observations
Source: McMillan and Schumacher (2001; 478)
The critics of qualitative research generally claim that qualitative research is too subjective, the number of cases sampled is too small, or that the analysis and interpretation is not scientific – to mention but a few criticisms. The questions that qualitative researchers need to ask themselves is: to what extent can the data analysis be trusted; how much confidence can the researcher place in his / her analysis; is the data analysis presented to the readers in such a way that they can verify and validate the findings for themselves. Lincoln and Guba (1985; 290) suggest that qualitative research should be assessed in terms of credibility, transferability, dependability and conformity of the data.
The chapter commenced with the rationale for the constructivist approach to the research study and the motivation for the use of interviews, in particular the semi-structured interview approach. The purposeful sampling of the research sites was elaborated upon with emphasis on the information-richness and ethical considerations. The data collection and data analysis methods were then discussed with an overview of the validity of the research findings. The following chapter focuses on the research findings.
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