PLG 600 Lecture Notes - Lecture 9: Focus Group, Design Issues, Descriptive Statistics
12 Apr 2018
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Document Summary
About non-physical setting: peoples attitude, how they think, their opinions, how they feel, etc. Inductive: empirical data abstract ideas relate ideas & data end with a mixture of ideas and data: bottom up; start with empirical data (focus groups/interviews) like personal experiences and narratives. Use this data to help build a theory from observations in the field. Quantitative/deductive: emphasize precision, use numerical data, plan concepts and variables prior to research & analysis. Important in establishing credibility of findings, central issues in measurement. Reliability = dependability, repeatable, consistency, reoccurs under same conditions. Reliability is necessary but insufficient for validity; easier to achieve than validity. Coding, entering & cleaning data (there are always human errors) One variable: descriptive statistics to measure frequency distributions: tend to use mode, median and mean to measure frequency distributions. Measure of central tendency: normal distributions v skewed distributions (see distribution curve slide) Step 1: open coding - emerging themes.
