Exam
enla
comm3023_ch13_2020.pptx
Chapter 13
Qualitative Data Analysis
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Process of Qualitative Data Analysis
Preparing the Qualitative Data
Transform the data into readable text
Check for and resolve transcription errors
Manage the data
Organize by attribute coding
Two Separate Processes
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Coding: Involves labeling and breaking down the data to find:
Patterns
Themes
Interpretation: Giving meaning to the identified patterns and themes
Coding
Starts with identifying the unit of analysis
Coding categories may reflect realms of meaning or different activities.
Coding categories can be theoretically-based or inductively created emerging from the data.
Use of Analytical Memos
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Analytical memos help researchers w/ process of breaking down the data
Personal reflections on the research experience, methodological issues, or patterns in the data
Comes in 3 varieties:
Code notes
Operational notes
Theoretical notes
Data Displays
Taxonomy: system of ordered classification
Data matrix: individuals or other units represent columns and coding categories represent rows
Typologies: representation of findings based on the interrelationship between two or more ideas, concepts, or variables
Flow charts: diagrams that display processes
Taxonomy of Survival Strategies
Data Matrix: Homeless Individuals by Dimensions
Drawing and Evaluating Conclusions
Conclusions may result in:
Rich descriptions
Identification of themes
Inferences about patterns and concepts
Theoretical propositions
Evaluation of the data can occur by:
Comparing notes among observers
Using multiple sources of data
Examining exceptions to the data patterns
Member checking
Variations in Qualitative Data Analysis: Grounded Theory
Objective is to develop theory from data
Emphasizes people’s actions and voices as the main sources of data
Uses constant-comparative method to analyze the data
Data collection, coding, and interpretation are closely integrated in CCM
Variations in Qualitative Data Analysis: Grounded Theory
Involves taking multiple passes through the data:
Pass 1: No coding is done
Pass 2: Open coding
Pass 3: Axial coding
Pass 4: Theoretical coding
Variations in Qualitative Data Analysis: Thematic Analysis
Main goal is to identify themes expressed within a text.
Criteria for identifying themes:
Recurrence
Repetition
Forcefulness
Variations in Qualitative Data Analysis
Narrative analysis
Objective is to examine the structure, meaning, and other characteristics of stories
Used to analyze journals, interviews, and other personal sharing of data
Used in conjunction with life history interviews
Conversation analysis
Objective is to analyze the structure, sequencing, word choice, and other characteristics of conversations
May be based on video and/or audio recordings
Uses a detailed shorthand notation to indicate speakers’ pauses, emphases, silences
.MsftOfcThm_Accent1_Fill { fill:#B01513; } .MsftOfcThm_Accent1_Stroke { stroke:#B01513; }
