These are links to all of the Stata SEM examples. The only list I've found online is the full SEM manual. I've extracted those links to place them here.

**Last updated for Stata 18.0. Jan 23, 2024.**

- Example 1 - Single-factor measurement model
- Example 2 - Creating a dataset from published covariances
- Example 3 - Two-factor measurement model
- Example 4 - Goodness-of-fit statistics
- Example 5 - Modification indices
- Example 6 - Linear regression
- 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 12 - Seemingly unrelated regression
- 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 19 - Creating multiple-group summary statistics data
- 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 with 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 - Tobit regression
- Example 44g - Interval regression
- Example 45g - Heckman selection model
- Example 46g - Endogenous treatment-effects model
- Example 47g - Exponential survival model
- Example 48g - Loglogistic survival model with censored and truncated data
- Example 49g - Multiple-group Weibull survival model
- Example 50g - Latent class model
- Example 51g - Latent class goodness-of-fit statistics
- Example 52g - Latent profile model
- Example 53g - Finite mixture Poisson regression
- Example 54g - Finite mixture Poisson regression, multiple responses