Lecture Communication research: Asking questions, finding answers (4e) Chapter 17: Analyzing qualitative data

Lecture Communication research: Asking questions, finding answers (4e) 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,... Đề tài Hoàn thiện công tác quản trị nhân sự tại Công ty TNHH Mộc Khải Tuyên được nghiên cứu nhằm giúp công ty TNHH Mộc Khải Tuyên làm rõ được thực trạng công tác quản trị nhân sự trong công ty như thế nào từ đó đề ra các giải pháp giúp công ty hoàn thiện công tác quản trị nhân sự tốt hơn trong thời gian tới.

Chapter 1/ ANALYZING QUALITATIVE DATA AINA NG QUA h JAILF * 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 READING OF DATA Emergent From participant’s point of ETIC READING OF DATA Interpreting data as related to theories view More conceptual In context data were Without regard to context collected Insider, inductive, and bottom-up Outsider, deductive, topdown * 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 EE Interpretation 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 * 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 x steps examining relationships between data and - Become familiar with data by reading and re-reading categories - Code data Use constant-comparative * Develop initial, inductive method to develop categories categories relative to each * Revise categories other - Write memos to explore ideas Categories can change and new categories added - Iterative approach for coding Two types of coding OPEN CODING AXIAL CODING Subsequent passes through data Linking categories In meaningful ways Categories are collapsed or relabeled Theoretically saturated when categories are stable THEORETICAL SATURATION OCCURS WHEN ALL DATA ARE CODED INTO A CATEGORY ASSESSING RESULTS FROM GROUNDED THEORY Do the data merit your claims? Are new insights generated? Do categories reflect the essence of what was studied? Are the findings useful in everyday life and future research’? THEMATIC ANALYSIS * Theme = conceptualization of interaction, relationship, event * Three criteria + Recurrence + Repetition + Forcefulness * Making sense or giving meaning to patterns, themes, concepts, and propositions * Translating categories into meaningful whole * Memo writing Is intermediate step before writing report + Can be used as basis of drafting the report * Use participant quotes as evidence that the analysis and interpretation are plausible + Provide enough quotes to demonstrate breadth and depth of category or theme * Credibility + Are findings believable’? + Are findings agreeable to participants? * Triangulation