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This practical guide offers a comprehensive introduction to Mplus for analyzing multivariate data, featuring step-by-step instructions and real data examples. It covers essential topics such as data preparation using SPSS, model specification in Mplus syntax, and addressing common issues like measurement invariance in longitudinal SEMs. The book includes various models, including path, factor analytic, mediational, and latent class models, with programming tips highlighted in each chapter. A companion website provides additional resources, making it especially useful for instructors and students.
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Data Analysis with Mplus, Christian Geiser
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- 2013
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