- Day 1 morning session
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Intro to R programming |
- R objects
- R packages
- Reading data in R
- Basic data wrangling
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- Day 1 afternoon session
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Exploratory Factor Analysis (EFA) |
- Objective of EFA
- Designing EFA
- Assumptions in EFA
- Deriving factors and assessing overall fit
- Interpreting factors
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- Day 2 morning session
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Confirmatory Factor Analysis (CFA) |
- CFA overview
- CFA with Lavaan package
- Defining constructs
- Developing measurement model
- Assessing measurement model validity
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- Day 2 afternoon session
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Covariance and Partial-least Square SEM |
- Specifying structural model
- Assessing the structural model validity
- SEM sample study demonstration
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