CRIM 2653 Lecture Notes - Lecture 9: Discourse Analysis, Data Analysis, Grounded Theory

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Looking for patterns in data about social life. Di erent set of assumptions (interpretivism vs. positivism) Belief that social life represents an objective reality through scienti c methods. Rede ne concepts and collect new data - if needed. Code is a label - meaningful to that piece of text. Systematic and organized but di erent ways of coding. Deductive (predetermined themes) - codes developed from existing concepts. Iterative process - may need to go through again. Precise and speci c - easier to code. Components: code name (identity), de nition and examples. Glaser and strauss - developed in the 1960s. Uses constant comparison and coding procedures to develop theoretical explanations grounded in the data. Researcher 1: deception, fears, motivation and outcomes. Researcher 2: anxieties, avoidance, family characteristics, good outcomes and negative outcomes. Trying to create a primary code - that all other categories t. Move to the level of explanation - the story of our data.

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