Mplus Web Notes

1. Muthén, B. (2002). Using Mplus Monte Carlo simulations in practice: A note on assessing estimation quality and power in latent variable models. Version 2, March 22, 2002.
2. Muthén, B. and Asparouhov, T. (2002). Using Mplus Monte Carlo simulations in practice: A note on non-normal missing data in latent variable models. Version 2, March 22, 2002.
3. Muthén, B. and Asparouhov, T. (2002). Modeling of Heteroscedastic Measurement Errors. Version 1, July 19, 2002.
4. Muthén, B. and Asparouhov, T. (2002). Latent Variable Analysis With Categorical Outcomes: Multiple-Group And Growth Modeling In Mplus. Version 5, December 9, 2002.
5. Muthén, B. (2002). Supplementary Analyses for the Article "Assessment of Treatment Effects Using Latent Variable Modeling: Comments on the New York School Choice Study". Version 1, December 20, 2002.
6. Muthén, B. and Asparouhov, T. (2003). Modeling interactions between latent and observed continuous variables using maximum-likelihood estimation in Mplus. Version 1, March 5, 2003.
7. Asparouhov, T. (2004). Weighting for unequal probability of selection in latent variable modeling. Mplus Web Notes: No. 7. Refer to Mplus Papers for the abstract. Paper can be downloaded from here. Mplus inputs and outputs used in section 10 of this paper can be downloaded from here. MLwiN runs used in section 10 of this paper can be downloaded from here. HLM runs used in section 10 of this paper can be downloaded from here.
8. Asparouhov, T. (2004). Weighting for unequal probability of selection in multilevel modeling. Mplus Web Notes: No. 8. Refer to Mplus Papers for the abstract. Paper can be downloaded from here.
9. Asparouhov, T. (2004). Stratification in multivariate modeling. Mplus Web Notes: No. 9. Refer to Mplus Papers for the abstract. Paper can be downloaded from here. Mplus inputs and outputs used in this paper can be downloaded from here.
10. Asparouhov, T. and Muthén, B. (2006). Robust Chi Square Difference Testing with mean and variance adjusted test statistics. Mplus Web Notes: No. 10. May 26, 2006.
11. Asparouhov, T. and Muthén, B. (2006). Constructing covariates in multilevel regression. paper can be downloaded from here. Mplus Web Notes: No. 11. February 15, 2006.

Type of Analysis	Input file	Data file	View output
1. Muthén, B. (2002). Using Mplus Monte Carlo simulations in practice: A note on assessing estimation quality and power in latent variable models. Version 2, March 22, 2002. Contact the author. Download this web note or the corresponding set of examples.
Study A. Linear growth model: no covariates, no missing data	mca.inp	N/A	mca.std
Study B. Linear growth model: covariate, no missing data	mcb.inp	N/A	mcb.std
Study C. Linear growth model: covariate, MAR missing data	mcc.inp	N/A	mcc.std

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Type of Analysis	Input file	Data file	View output
2. Muthén, B. and Asparouhov, T. (2002). Using Mplus Monte Carlo simulations in practice: A note on non-normal missing data in latent variable models. Version 2, March 22, 2002. Contact the first author. Download this web note or the corresponding set of examples.
Study A. Linear growth model with non-normal data: no covariate, no missing data, ML estimator	mc2a.inp	N/A	mc2a.std
Study A. Linear growth model with non-normal data: no covariate, no missing data, MLR estimator	mc2b.inp	N/A	mc2b.std
Study B. Linear growth model with non-normal data: covariate, MAR missing data, ML estimator	mc2c.inp	N/A	mc2c.std
Study B. Linear growth model with non-normal data: covariate, MAR missing data, MLR estimator	mc2d.inp	N/A	mc2d.std

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Type of Analysis	Input file	Data file	View output
3. Muthén, B. and Asparouhov, T. (2002). Modeling of Heteroscedastic Measurement Errors. Version 1, July 19, 2002. Contact the first author. Download this web note or the corresponding set of examples.
Model 1. Full model. 5 parameters.	model1.inp	stationary_oddsratio.dat	model1.std

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Type of Analysis	Input file	Data file	View output
4. Muthén, B. and Asparouhov, T. (2002). Latent Variable Analysis With Categorical Outcomes: Multiple-Group And Growth Modeling In Mplus. Version 5, December 9, 2002. Contact the first author. Download this web note or the corresponding set of examples.
Example 1. ASB EFA	catex1.inp	asb.dat	catex1.std
Example 2. ASB CFA	catex2.inp	asb.dat	catex2.std
Example 3. ASB factor analysis (MIMIC) with gender as covariate	catex3.inp	asb.dat	catex3.std
Example 4. ASB factor analysis (MIMIC) with gender as covariate and gender non-invariance	catex4.inp	asb.dat	catex4.std
Example 5. ASB multiple-group analysis	catex5.inp	asb.dat	catex5.std
Example 6. ASB multiple-group analysis with gender non-invariance	catex6.inp	asb.dat	catex6.std
Study A. Multiple-group modeling: full invariance	catstudya.inp	mc.dat	catstudya.std
Study B. Multiple-group modeling: partial threshold invariance	catstudyb.inp	mc.dat	catstudyb.std
Study C. Growth modeling: binary outcomes	catstudyc.inp	mcgrowth.dat	catstudyc.std
Study D. Growth modeling: polytomous outcomes	catstudyd.inp	mcgrowth.dat	catstudyd.std
Study E. Growth modeling: multiple-indicator, polytomous outcomes	catstudye.inp	mcgrowth3.dat	catstudye.std

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Type of Analysis	Input file	Data file	View output
5. Muthén, B. (2002). Supplementary Analyses for the Article "Assessment of Treatment Effects Using Latent Variable Modeling: Comments on the New York School Choice Study". Version 1, December 20, 2002. Contact the author. Download this web note or the corresponding set of examples.
Study A. 2-class scenario with 3 time points	jasaa.inp	N/A	jasaa.std
Study B. 3-class scenario with 3 time points	jasab.inp	N/A	jasab.std
Study C. 2-class scenario with 2 time points	jasac.inp	N/A	jasac.std
Study D. 3-class scenario with 2 time points	jasad.inp	N/A	jasad.std

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Type of Analysis	Input file	Data file	View output
6. Muthén, B. and Asparouhov, T. (2003). Modeling interactions between latent and observed continuous variables using maximum-likelihood estimation in Mplus. Version 1, March 5, 2003. Contact the first author. Download this web note or the corresponding set of examples.
Example 1. Monte Carlo example	web6ex1.inp	N/A	web6ex1.std
Example 2. Cross-sectional example of behavior	web6ex2.inp	web6cross.dat	web6ex2.std
Example 3. Growth modeling example	web6ex3.inp	web6growth.dat	web6ex3.std

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Type of Analysis	Input file	Data file	View output
10. Asparouhov, T. and Muthen, B. (2006). Robust Chi Square Difference Testing with Mean and Variance Adjusted Test Statistics. Mplus Web Notes: No. 10. May 26, 2006. Contact the second author. Download this web note or the corresponding set of examples. The set of examples includes a DOS batch file called ALL.BAT which executes Step 2 and Step 3 for each data set created in Step 1. The DOS batch file uses a utility called Extractor to extract the p-value for the Chi-Square Test for Difference Testing from the H0 analysis in Step 3. The p-values are extracted and placed into the file pval.txt. The data sets created in Step 1 are not included.
Step 1: Data generation	gendata.inp	N/A	gendata.out
Step 2: H1 analysis (shown for one data set)	difinp1.inp	mcdiff.dat	difinp1.out
Step 3: H0 analysis (shown for one data set)	difinp0.inp	mcdiff.dat	difinp0.out

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