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 and Dr S McKay Curtis 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 their contributions in enriching the data analysis provided in the book.