CMN 2101 Lecture Notes - Lecture 9: Stanford Prison Experiment, Nvivo, Stanley Milgram
20 Apr 2016
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Document Summary
Both infer from empirical data: make inferences from this data. Both use public process to describe in detail: allow work to be scrutinized. Both avoid errors and false conclusions (validity and reliability) Quantitative used a few shared, standardized techniques: analyzes after all data have been collected, test pre-existing theories and hypotheses, researchers use precise/compact, abstract data. Qualitative uses many diverse, nonstandard techniques: begins data analysis while still collecting data, conceptualizes and builds a new theory, researchers use imprecise, relatively concrete data, very flexible, no generalizability, partially subjective. Explanations can be highly unlikely or highly plausible. Form concepts that are new or grounded in the data -> conceptualization is a way to organize and make sense of data. Casing: bringing data and theory together, especially occurs at beginning and end. Before analyzing qualitative data, it must first be organized. Ex. a social media marketing campaign on bowties reveals hipster culture to be the major consumer of bowties.
