SSCI 2900U Lecture 8: Lecture 8 - June 9, 2016
14 Jun 2016
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Document Summary
While quantitative research has clear cut rules for data analysis, this is not the case in qualitative research. General strategies of qualitative data analysis: analytic induction (not favoured) and grounded theory (more common) Qualitative analysis is an iterative process: analysis starts after some data has been collected, further data is gathered on the basis of that analysis. Theory that was derived from data, systematically gathered and analyzed through the research process. Central features are its development of theory out of data, and an iterative approach in which data collection and analysis go together, repeatedly referring back to each other. Most widely used framework for analyzing qualitative data. Basic features of grounded theory: coding. Key process in grounded theory where data is broken down into component parts and given names. Begins soon after initial collection of data. Continuous comparison of new and existing data within a particular concept or category: theoretical saturation.
