Logistic regression, also called a logit model, is used to model dichotomous outcome variables. In the logit model the log odds of the outcome is modeled as a linear combination…
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Version info: Code for this page was tested in Mplus version 6.12. Multinomial logistic regression is used to model nominal outcome variables, in which the log odds of the outcomes…
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Note: This example was done using Mplus version 5.2.  The syntax may not work, or may function differently, with other versions of Mplus. As the name implies, multivariate regression is…
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Version info: Code for this page was tested in Mplus version 6.12. Negative binomial regression is used to model count variables with overdispersion. Please note: The purpose of this page…
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Version Info:  Code for this page was tested in Mplus version 6.12. Please note: The purpose of this page is to show how to use various data analysis commands. It…
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Version info: Code for this page was tested in Mplus version 6.12. Poisson regression is used to model dependent variables that are counts. Please note: The purpose of this page…
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Note: This example was done using Mplus version 5.2.  The syntax may not work, or may function differently, with other versions of Mplus. Probit regression, also called a probit model,…
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Note: This example was done using Mplus version 6.12. The syntax may not work, or may function differently, with other versions of Mplus. The tobit model, also called a censored…
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Version info: Code for this page was tested in Mplus version 6.12. Zero-inflated negative binomial regression is for modeling count variables with excessive zeros and it is usually for overdispersed…
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Version info: Code for this page was tested in Mplus version 6.12. Zero-inflated poisson regression is used to model count data that has an excess of zero counts. Further, theory…
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