Modeling. Mplus is a statistical modeling program that provides researchers with a flexible, state-of-the-art combination of linear mixed models and latent variable models tool to analyze their data. Mplus offers researchers a wide choice of models, estimators, and algorithms in a program that has an easy-to-use interface and graphical displays of data and analysis results. Mplus allows the analysis of both cross-sectional and longitudinal data, single-level and multilevel data, and data that come from different populations with either observed or unobserved heterogeneity. Analyses can be carried out for observed variables that are continuous, censored, binary, ordered categorical (ordinal), unordered categorical (nominal), counts, or combinations of these variable types. Mplus also has special features for missing data, complex sample data, and multilevel data. In addition, Mplus has extensive capabilities for Monte Carlo simulation studies, where data can be generated and analyzed according to any of the models included in the program.
Single copy on Research Office library computer. We were having trouble getting M-plus to work with non-administrative accounts, but TIER may have solved this problem recently.