This page was created using Mplus version 5.2, the output and/or syntax may be different for other versions of Mplus. Sometimes repeated measures data include measurements at unequal time points….
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This page was created using Mplus 5.1. Below is an example of ordinary least squares (OLS) regression with footnotes explaining the output. To summarize the output, both predictors in this…
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Mplus version 5.2 was used for these examples. To illustrate longitudinal data analysis using Mplus, we will use an example data set from Chapter 5 of Hox’s Multilevel Analysis: Techniques…
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There are at least two reason a researcher might want to fix or free parameters. The first is that while the default settings in Mplus do a fairly good job…
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Confirmatory factor analysis (CFA) is a measurement model that estimates continuous latent variables based on observed indicator variables (also called manifest variables). The observed indicator variables may be either categorical…
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Mixture models are measurement models that use observed variables as indicators of one or more nominal latent variables (i.e. categorical variables). One way to think about mixture models that one…
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In previous sections we have shown how to estimate two types of measurement models, confirmatory factor models, and mixture models (e.g., latent class analysis). We have also shown how to…
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What Statistical Analysis Should I Use? General FAQs R FAQs SAS FAQs SPSS FAQs Stata FAQs Mplus FAQs SUDAAN FAQs

FAQ: What are pseudo R-squareds?   As a starting point, recall that a non-pseudo R-squared is a statistic generated in ordinary least squares (OLS) regression that is often used as…
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Occasionally when running a logistic or a multinomial logistic regression we would run into the problem of so-called complete separation or quasi-complete separation. On this page, we will discuss what…
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