data analysis. what it is knowing the data organizing & chunking interpreting themes making...
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Data Analysis
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What it is
Knowing the data
Organizing &
Chunking
Interpreting themes
Making meaning
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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.
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Triangulation
Foci
Data Source
Data Source
Data Source
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Triangulation
Learner
Interview
Observation
Records
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Iterative process
Conceptual frameworkRefer to questionsModify data collected based on what you
are learningWrite, write, writeTalk with othersRead, read, readRe-organize and visualize data
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Conceptual Frameworks
• Phenomenology• Capturing behaviors, reasons
• Ethnography• Capturing culture
• Socio-Communication• Capturing language and interactions
• Case Study• Capturing context
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Categorical Analysis
• Constant comparison• Rich & thick description• Finding patterns• Similarities• Differences• Labeling categories• Identifying themes across categories
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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)
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Inductive & Deductive
Observation
Tentative Hypothesis
Patterns
Theory Hypothesis
Observation
Confirmation
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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
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