CRIM 321 Lecture Notes - Lecture 9: Data Analysis, Institute For Operations Research And The Management Sciences, External Auditor
11 Dec 2018
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Based on understanding complexity, detail, and context of data: use data to support. Engage in process: deliberation and reflexivity, deliberately seek negative cases, attend to typically hidden or unexamined stages of research process. Identifying key factors in the study and the relationships between them. Interpretation: transcend factual data and cautious analysis (the above steps, probe what can be made from/of data. Keep data/ interpretation trustworthy: understand and acknowledge data limitations. Literal codes: descriptive codes that appear in text. Analytical codes: researcher"s interpreations not closely tied to text. Focused coding: building and claryfing concepts, examine all data in category, comparing each piece of data with every other piece, construct clear working definition of each concept, name concept. Analytical categories: subcodes: different types within an analytical code. Data memos: summarize data, including key quotes. Analytical memos: track codes, categories, and logic. Step 1: data preparation phase: what will be analyzed, how data are to be organized and stored, transcription issues.
