Structural equation modeling has become a frequently used methodology both in social sciences and other fields in recent years. This methodology can be used in analyzes such as scale development, examining the psychometric properties of the scale, measuring invariance, testing multivariate models, estimating direct and indirect effects, as well as providing researchers with the opportunity to test their theories on empirical data. As in other multivariate statistics, advanced computer software is needed for parameter estimation in structural equation modeling. Mplus program, which is among the structural equation modeling software, has become a prominent latent variable program in recent years thanks to the flexibility it offers. This book, which is the first work on the Mplus program written in Turkey, focuses on how to implement structural equation modeling applications with the Mplus program; Path analysis, confirmatory factor analysis, structural regression, latent growth models and applications of multigroup and multilevel models are included in the Mplus axis. The main purpose of this book is to facilitate the understandability and applicability of structural equation modeling for readers. Hope it will be a useful reference resource for anyone who plans to use structural equation modeling in their research with the Mplus program...
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