tailieunhanh - Lecture Communication research: Asking questions, finding answers (4/e): Chapter 17 - Joann Keyton
Chapter 17 - Analyzing qualitative data. After reading this chapter, you should be able to: Distinguish between emic and etic readings of data, distinguish between the analysis and interpretation of qualitative data, write an analytical memo, search textual data for relevant codes to be analyzed,. | Analyzing qualitative data Chapter 17 Analyzing qualitative data Analysis Process of labeling and break down raw data Brings order, structure, interpretation Messy, ambiguous, time consuming Begins after first data collection Reflexive Inductive emic and etic views of data analysis Emic reading of data Etic reading of data Emergent From participant’s point of view In context data were collected Insider, inductive, and bottom-up Interpreting data as related to theories More conceptual Without regard to context Outsider, deductive, top-down Choosing an analytical method Sorting through a great deal of data is difficult Requires careful choice of analytical method Multiple plausible interpretations will be present The research question may have changed Must remain true to participants’ meanings Moving from raw data to interpretation Interpretation Making sense of or giving meaning to those patterns, themes, concepts, and propositions Analysis Process of labeling and breaking down raw . | Analyzing qualitative data Chapter 17 Analyzing qualitative data Analysis Process of labeling and break down raw data Brings order, structure, interpretation Messy, ambiguous, time consuming Begins after first data collection Reflexive Inductive emic and etic views of data analysis Emic reading of data Etic reading of data Emergent From participant’s point of view In context data were collected Insider, inductive, and bottom-up Interpreting data as related to theories More conceptual Without regard to context Outsider, deductive, top-down Choosing an analytical method Sorting through a great deal of data is difficult Requires careful choice of analytical method Multiple plausible interpretations will be present The research question may have changed Must remain true to participants’ meanings Moving from raw data to interpretation Interpretation Making sense of or giving meaning to those patterns, themes, concepts, and propositions Analysis Process of labeling and breaking down raw data to find patterns, themes, concepts, and propositions Analytical memo Captures your first impressions of and reflections on data Researcher writes memos to him or herself Not part of the data First attempt at analyzing Suggests avenues for additional collection or analytical schemes Researcher’s not participants’ evaluation Diagramming data Place data into tables, diagrams, or graphs Helps see relationships Organize by Case Subject Theme Event Coding and categorizing data Reduces data into manageable size Category Set of similar excerpts, examples, or themes Existing or emergent Develop tentative labels Categories and labels will become clearer over time Return to research questions Grounded theory Develop theory by examining relationships between data and categories Use constant-comparative method to develop categories relative to each other Categories can change and new categories added Steps Become familiar with data by reading and re-reading Code data Develop initial, inductive .
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