1. Data Analysis

2. What it is Knowing the data Organizing & Chunking Interpreting themes Making meaning

3. Accuracy & Credibility Record data precisely Describe all phases of data collection and analysis Report everything of importance BE OBJECTIVE Use multiple data sources Use appropriate data sources Collect over a period of time and until data is saturated.

4. Triangulation Foci Data Source

5. Triangulation Learner Interview Observation Records

6. Iterative process Conceptual framework Refer to questions Modify data collected based on what you are learning Write, write, write Talk with others Read, read, read Re-organize and visualize data

7. Conceptual Frameworks Phenomenology Capturing behaviors, reasons Ethnography Capturing culture Socio-Communication Capturing language and interactions Case Study Capturing context

8. Categorical Analysis Constant comparison Rich & thick description Finding patterns Similarities Differences Labeling categories Identifying themes across categories

9. Step by Step: Analyze Determine coding method Read and re-read data Identify & define categories inductively –Through words/actions of participants (emic) Identify & define categories deductively –Through literature, experience grounded in conceptual framework (etic)

10. Inductive & Deductive Observation Tentative Hypothesis Patterns Theory Hypothesis Observation Confirmation

11. Step by Step: Analyze Look for repetitive words, images, concepts, behaviors, or descriptions Code –Color pen –Color highlighting –NumericalNumerical –Software Keep it in contextcontext Re-visit categories for new meaning