Datasets for
Stata Structural Equation Modeling Reference Manual, Release 13


Datasets used in the Stata documentation were selected to demonstrate how to use Stata. Some datasets have been altered to explain a particular feature. Do not use these datasets for analysis.


To download a dataset:




Example 1 - Single-factor measurement model




Example 3 - Two-factor measurement model




Example 4 - Goodness-of-fit statistics




Example 5 - Modification indices




Example 7 - Nonrecursive structural model




Example 8 - Testing that coefficients are equal, and constraining them




Example 9 - Structural model with measurement component




Example 10 - MIMIC model




Example 11 - estat framework




Example 13 - Equation-level Wald test




Example 14 - Predicted values




Example 15 - Higher-order CFA




Example 16 - Correlation




Example 17 - Correlated uniqueness model




Example 18 - Latent growth model




Example 20 - Two-factor measurement model by group




Example 21 - Group-level goodness of fit




Example 22 - Testing parameter equality across groups




Example 23 - Specifying parameter constraints across groups




Example 24 - Reliability




Example 25 - Creating summary statistics data from raw data




Example 26 - Fitting a model using data missing at random




Example 27g - Single-factor measurement model (generalized response)




Example 28g - One-parameter logistic IRT (Rasch) model




Example 29g - Two-parameter logistic IRT model




Example 30g - Two-level measurement model (multilevel, generalized response)




Example 31g - Two-factor measurement model (generalized response)




Example 32g - Full structural equation model (generalized response)




Example 33g - Logistic regression




Example 34g - Combined models (generalized responses)




Example 35g - Ordered probit and ordered logit




Example 36g - MIMIC model (generalized response)




Example 37g - Multinomial logistic regression




Example 38g - Random-intercept and random-slope models (multilevel)




Example 39g - Three-level model (multilevel, generalized response)




Example 40g - Crossed models (multilevel)




Example 41g - Two-level multinomial logistic regression (multilevel)




Example 42g - One- and two-level mediation models (multilevel)




Example 43g - Heckman selection model




Example 44g - Endogenous treatment-effects model




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