Stat Computing > MPlus > Textbook Examples > An Introduction to Latent Variable Growth Curve Modeling

Mplus Textbook Examples
An Introduction to Latent Variable Growth Curve Modeling
by Duncan, Duncan, Strycker, Li, & Alpert

This is one of the books available for loan from Academic Technology Services (see Statistics Books for Loan for other such books, and details about borrowing). We encourage you to obtain An Introduction to Latent Variable Growth Curve Modeling to gain a deeper conceptual understanding of the analysis illustrated (see Where to buy books for tips on different places you can buy this book).  We are very grateful to the authors for granting us permission to create these pages and to distribute the data files via our web pages.
Please note: These pages are based on the examples developed and posted by the authors on their web site.  We are very grateful to the authors for permission to adapt their work for posting on our site.  We encourage you to visit their web site.

 

Example	Figure	Data File	Mplus  Input (.inp.txt) Output (.out.txt)
Chapter 2: Specification of the LGM		ch2.dat ch2raw.dat
Three-Factor Polynomial LGM			input: inp21.inp.txt output: inp21.out.txt
Unspecified Two-Factor LGM			input: inp22.inp.txt output: inp22.out.txt
Single-Factor "Curve" LGM			input: inp23.inp.txt output: inp23.out.txt
Chapter 3: LGM and Repeated Measures ANOVA		ch3.dat ch3raw.dat
SPSS MANOVA			Not done, see book
SPSS GLM (not in book, added for comparison to   0 1 2 coding for time (below)			input & output: spss32.htm
Orthonormalized Three-Factor LGM			Manually specify growth model Time coding orthonormalized input: inp32book.inp.txt output: inp32book.out.txt Manually specify growth model 0 1 2 Coding for time input: inp32man.inp.txt output: inp32man.out.txt Streamlined growth model 0 1 2 Coding for time input: inp32.inp.txt output: inp32.out.txt
SPSS MANOVA with Predictors of Change			Not done in Mplus
SPSS MIXED (not in book, added for comparison to   0 1 2 coding for time (below)			input & output: spss33.htm
LGM Involving Predictors of Change			Manually specify growth model Time coding orthonormalized input: inp34book.inp.txt output: inp34book.out.txt Manually specify growth model 0 1 2 Coding for time input: inp34man.inp.txt output: inp34man.out.txt Streamlined growth model 0 1 2 Coding for time input: inp34.inp.txt output: inp34.out.txt
SPSS ANOVA with Sequelae of Change			Not done in Mplus
LGM Involving Sequelae of Change			Manually specify growth model Time coding orthonormalized input: inp36book.inp.txt output: inp36book.out.txt Manually specify growth model 0 1 2 Coding for time input: inp36man.inp.txt output: inp36man.out.txt Streamlined growth model 0 1 2 Coding for time input: inp36.inp.txt output: inp36.out.txt
LGM Involving Predictors and Sequelae of Change			Manually specify growth model Time coding orthonormalized input: inp37book.inp.txt output: inp37book.out.txt Manually specify growth model 0 1 2 Coding for time input: inp37man.inp.txt output: inp37man.out.txt Streamlined growth model 0 1 2 Coding for time input: inp37.inp.txt output: inp37.out.txt
LGM Involving Predictors and Sequelae of Change    Re-specified model adding   direct effect of Age -> Prob behavior			Manually specify growth model Time coding orthonormalized input: inp37rebook.inp.txt output: inp37rebook.out.txt Manually specify growth model 0 1 2 Coding for time input: inp37reman.inp.txt output: inp37reman.out.txt Streamlined growth model 0 1 2 Coding for time input: inp37re.inp.txt output: inp37re.out.txt
Chapter 4: Analyzing Growth in Multiple Populations		ch4.dat
Multiple-Sample LGM			Multisample Analysis input: app41.inp.txt output: app41.out.txt Testing Parameter 1 input: app41a.inp.txt output: app41a.out.txt Freeing  Slope Constraint input: app41b.inp.txt output: app41b.out.txt
Multiple-Sample "Added Growth" LGM			input: app42.inp.txt output: app42.out.txt
Chapter 5: Multivariate Representations  of Growth and Development		ch5.dat
Associative LGM			Streamlined input: app51.inp.txt output: app51.out.txt Manual input: app51man.inp.txt output: app51man.out.txt
Factor-of-Curves LGM			input: app52man.inp.txt output: app52man.out.txt
Curve-of Factors LGM			input: app53man.inp.txt output: app53man.out.txt
Chapter 6: Accelerated Designs
Cohort-Sequential LGM, 6.1		ch6cs.dat	Streamlined input: ch61cs.inp.txt output: ch61cs.out.txt Manual input: ch61csman.inp.txt output: ch61csman.out.txt
True-Longitudinal LGM, 6.1		ch6tl.dat	Streamlined input: ch61tl.inp.txt output: ch61tl.out.txt Manual input: ch61tlman.inp.txt output: ch61tlman.out.txt
Combined Models, 6.1		ch6co.dat	Streamlined input: ch61co.inp.txt output: ch61co.out.txt Manual input: ch61coman.inp.txt output: ch6colman.out.txt
Cohort-Sequential LGM, 6.2		ch6cs.dat	input: ch62cs.inp.txt output: ch62cs.out.txt
True-Longitudinal LGM, 6.2		ch6tl.dat	Streamlined input: ch62tl.inp.txt output: ch62tl.out.txt Manual input: ch62tlman.inp.txt output: ch62tlman.out.txt
Combined Models, 6.2		ch6co.dat	input: ch62co.inp.txt output: ch62co.out.txt
Cohort-Sequential True-Longitudinal LGM Comparison
Chapter 7: Testing Interaction Effects in LGMs
Chapter 8: Missing Data Models
Missing Data LGM Raw Data Input    Ho "Hypothesized" Model
Chapter 9: Multilevel Longitudinal Approaches
Multilevel Longitudinal Growth Models    Raw ML Approach
Multilevel Longitudinal Growth Models    Matrix Approach
Chapter 10: Latent Variable Framework for  LGM Power Estimation
LGM Power Estimation in an Intervention Context   Ha Matrix Generation    Ho Power Estimation Fixing Slope Mean=0
Bonus Chapter: Growth Mixture Modeling   of Adolescence Alcohol Use Data	mix.pdf
Growth Mixture Modeling  Single latent Class
Two Latent Classes
Three Latent Classes
Saving out class Probabilities
Covariate X --> Growth Factors
Covariate X --> Latent Class C
Latent Class C --> Mixture Indicator U

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