Multilevel Modeling Using Mplus

✍ Scribed by Bolin, Jocelyn; Finch, Holmes

Publisher: CRC Press LLC : Chapman and Hall/CRC
Year: 2017
Tongue: English
Leaves: 336
Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book is designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. The focus is on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using Mplus as the software tool, and demonstrating the various functions available for these analyses in Mplus, which is widely used by researchers in various fields, including most of the social sciences. In particular, Mplus offers users a wide array of tools for latent variable modelling, including for multilevel data.

✦ Table of Contents

Content: Linear Models. An Introduction to Multilevel Data Structure. Fitting 2-level Models. Additional issues in fitting 2-level models. 3 Level and Higher Models. Longitudinal Data Analysis using Multilevel Models. Brief Introduction to Generalized Linear Models. Multilevel Generalized Linear Models (MGLM) and Multilevel Survival Models. Brief review of latent variable modeling in Mplus. Multilevel latent variable models in Mplus. Bayesian Multilevel Modeling. Appendix: An Introduction to MPlus.

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