Data Analysis

What it is

Knowing the data

Organizing &

Chunking

Interpreting themes

Making meaning

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.

Triangulation

Foci

Data Source

Data Source

Data Source

Triangulation

Learner

Interview

Observation

Records

Iterative process

Conceptual frameworkRefer to questionsModify data collected based on what you

are learningWrite, write, writeTalk with othersRead, read, readRe-organize and visualize data

Conceptual Frameworks

• Phenomenology• Capturing behaviors, reasons

• Ethnography• Capturing culture

• Socio-Communication• Capturing language and interactions

• Case Study• Capturing context

Categorical Analysis

• Constant comparison• Rich & thick description• Finding patterns• Similarities• Differences• Labeling categories• Identifying themes across categories

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)

Inductive & Deductive

Observation

Tentative Hypothesis

Patterns

Theory Hypothesis

Observation

Confirmation

Step by Step: Analyze

• Look for repetitive words, images, concepts, behaviors, or descriptions

• Code– Color pen– Color highlighting– Numerical – Software

• Keep it in context• Re-visit categories for new meaning