Chapter 2: Cluster analysis
R|
SPSS|
STATA|
Chapter 3: Multidimensional scaling
R|
SPSS|
STATA|
Chapter 4: Correspondence analysis
SPSS|
STATA|
Chapter 5: Principal components analysis
R|
SPSS|
STATA|
Chapter 6: Regression analysis
R|
SPSS|
STATA|
Chapter 7: Factor analysis
Mplus|
R|
SPSS|
STATA|
Chapter 8: Factor analysis for binary data
GENLAT|
LAMI| (You will need to download this to run GENLAT)
Mplus|
R|
SPSS|
STATA|
Chapter 9: Factor analysis for ordered categorical variables
GENLAT|
LAMI| (You will need to download this to run GENLAT)
Mplus|
STATA|
Chapter 10: Latent class analysis for binary data
GENLAT|
LAMI| (You will need to download this to run GENLAT)
Mplus|
Chapter 11: Confirmatory factor analysis and structural equation models
Mplus|
R|
STATA|
Chapter 12: Multilevel modelling
MLwiN|
R|
STATA|
We would like to thank Professor Elena Erosheva from the University of Washington for providing the R code for all the examples in chapters 2 (cluster analysis), 3 (multidimensional scaling), 5 (principal component analysis), 7 (factor analysis) and 8 (factor analysis for binary data). The R code provided for those chapters is rich and well explained. It also compliments the analysis when possible with plots and additional information. We are grateful for her contributions in enriching the data analysis provided in the book.
We would also like to thank Dr S. McKay Curtis, a postdoc at the University of Washington, for his contributions to the R code provided by Professor Erosheva.