CCT208H5 Lecture Notes - Lecture 10: Scatter Plot, Standard Deviation, Grounded Theory
5 Apr 2016
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Cct210 week10 working with quantitative data. Statistical analysis: science of describing/reasoning numerical data. 3 descriptive measures -> central tendency, dispersion, shape = univariate. Centrality: reduces to 1 # ; 3 measures -> mode, median, mean. Mode: coded as mo", most frequent score. Mean: average of scores, coded as m". Pearson"s r: only if scatterplot produces linear relationship. Strength of r: + relation if . 70 or higher. Week 11 coding and analysis of qualitative data. Blends explicit coding procedure w. theory dev. Concepts, categories, properties, hypotheses, theory (substantive, formal) Criticisms: loss of narrative flow", some data is unsuitable for coding. Narrative analysis: 4 models (thematic, structural, interactional, performative) Look for: vividness, repetition, contradiction, inferred typicality, stories, judgements.
