PhillipKWood
Phillip Wood
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Chapter 12 Parsimonious Factors
Program Code to Accompany "Understanding Structural Equation Models" by Phillip K. Wood
Chapter 10 Measurement Models
R Code to Accompany Chapter 10 of Wood Understanding Structural Equation Modeling.
Psychometric Measurement Models
Chapter 8 Confirmatory Factor Analysis
R Code to accompany figures and data examples in Understanding Structural Equation Models by Phillip K. Wood
Chapter 7 Reliability Models/Correction for Attenuation
Figures to accompany Chapter 7 of Wood Understanding Structural Equation Models
Chapter 6: Vector Algebra
Figures to Accompany Chapter 6 of Wood "Understanding Structural Equation Models"
Chapter 5: Regression Diagnostics
Chapter 5 discusses regression diagnostics, how they provide information about the reasonableness of model assumptions and possible remedies.
Chapter 3: Path Notation and Galton Data
Markdown to accompany Chapter 3 of Wood Understanding Structural Equation Modeling
Generate Simulated Data for Classroom Examples
Function to generate a simulated data set in which means, standard deviations and correlations match exactly user-specified values.
Useful for doing example analyses in which numbers turn out "nice."
Not to be used to explore sampling behavior in research.
Chapter 4 R program code for Three-Variable Path Diagrams
This are the corresponding data sets and r-code to accompany Chapter 4 of Understanding Structural Equation Models
Description of Regression and Correlation using SEM software
A simple example using the Galton Height data with example lavaan code