Page Comparison

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Complex survey data examples:

• A measurement model (complete example)

• A structural equation model (complete example)

• A generalized linear model (complete example)

• A generalized linear model (complete example)

• A generalized linear model (complete example)

• GLIMS for continuous responses (complete example)

• Confirmatory factor analysis model (complete example)

• Confirmatory factor analysis model with latent variable relationship and latent variable means (complete example)

• GLIMS for count data using substance abuse data (complete example)

• GLIMS for binary responses (complete example)

• GLIMS for ordinal responses using substance abuse data (complete example)

• GLIMS for nominal responses using NHIS data (complete example)

• A structural equation model for the 2001 monitoring the future data (complete example)

• Implementation of sampling weights in a linear growth curve model (complete example)

• Simulation study based on a linear growth curve model (complete example)

• Latent curve analysis with main and interaction effects (complete example)

• Replicate weights (complete example)

• Analyzing count data and correcting for over-dispersion (complete example)

Multilevel Generalized Linear Modeling examples:

• Binary case: a 2-level model (complete example)

• Binary model with logit link function (complete example)

• Binary models with probit link function (complete example)

• Bernoulli models for NESARC data (complete example)

• Bernoulli distribution with complementary log-log link function (complete example)

• Multilevel models for categorical and count data (complete example)

• Models for count outcomes from the NESARC data (complete example)

• Models for count outcomes using ASPART data (complete example)

• Negative binomial model for the NESARC data (complete example)

• The data for an ordinal approach (complete example)

• Models for ordinal outcomes using NIMH data (complete example)

• An ordinal regression model with random intercept (complete example)

• Poisson log model with an offset variable (complete example)

• Poisson model for the Thailand data (complete example)

• Poisson model and scale parameter estimation for NIH data (complete example)

• Three-level Poisson models for simulated data (complete example)

• Negative binomial model for the NIH data (complete example)

• Models for nominal outcomes using NHIS data (complete example)

• Models for proportional and non-proportional odds (complete example)

• Two-level survival analysis models (complete example)

• Weighted 2-level models (complete example)

Analysis of ordinal data

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