CRIM 321 Lecture Notes - Lecture 10: Social Anthropology, Ethnography, The Roots
Document Summary
Step 1: data preparaion phase: what data will be analyzed, how are data to be organized and stored, transcripion issues. Steps 2 and 3: data exploraion and data reducion phases: step 2: data exploraion phase (explore emergent themes) Read data in totality / aim for descripion. Exploraion requires reviewing transcripions several imes: step 3: data reducion phase (specify codes) Idenify segments of transcripts (quotes, accounts) linked to codes: data analysis begins with data collecion; each informs other. Step 4: interpretaion: research indings are generated, reported. Muliple layers of meaning in qualitaive data. Key features to analysis: data status, primary focus. Language used, tone, how things are constructed in video, content, etc: data reducion. Reducing data to code: generaing concepts from data, applying concepts to data, maintaining context. Not imposed on the data: synthesis. Reduce data then put them back together ind way to explain what your results are: ordering.