{"id":1308,"date":"2016-10-06T10:18:30","date_gmt":"2016-10-06T10:18:30","guid":{"rendered":"http:\/\/www.quartzbd.com\/?post_type=product&p=1308"},"modified":"2016-10-06T10:21:14","modified_gmt":"2016-10-06T10:21:14","slug":"mplus-6-12-windows","status":"publish","type":"product","link":"http:\/\/www.quartzbd.com\/?product=mplus-6-12-windows","title":{"rendered":"Mplus 6.12 Windows"},"content":{"rendered":"

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Mplus is a statistical modeling program that provides researchers with a flexible 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, data that come from different populations with either observed or unobserved heterogeneity, and data that contain missing values. 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. 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.
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Mplus is a latent variable modeling program with a wide variety of analysis capabilities:
\n<\/span>\u02d9<\/span>Exploratory factor analysis
\n<\/span>\u02d9<\/span>Structural equation modeling
\n<\/span>\u02d9<\/span>Item response theory analysis
\n<\/span>\u02d9<\/span>Growth modeling
\n<\/span>\u02d9<\/span>Mixture modeling (latent class analysis)
\n<\/span>\u02d9<\/span>Longitudinal mixture modeling (hidden Markov, latent transition
\nanalysis, latent class growth analysis, growth mixture analysis)
\n<\/span>\u02d9<\/span>Survival analysis (continuous- and discrete-time)
\n<\/span>\u02d9<\/span>Multilevel analysis
\n<\/span>\u02d9<\/span>Complex survey data analysis
\n<\/span>\u02d9<\/span>Bayesian analysis
\n<\/span>\u02d9<\/span><\/span>Monte Carlo simulation<\/span> <\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

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Contact
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