02453nam 2200541 450 991055510810332120230126221332.01-119-42272-81-119-42273-61-119-42271-X(CKB)4100000009184939(MiAaPQ)EBC5892451(OCoLC-P)1123181408(CaSebORM)9781119422709(OCoLC)1123181408(EXLCZ)99410000000918493920191007d2020 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierStructural equation modeling applications using Mplus /Jichuan Wang, Xiaoqian WangSecond edition.Hoboken, New Jersey ;Chichester, West Sussex, England :Wiley,[2020]©20201 online resource (537 pages)Wiley series in probability and statistics1-119-42270-1 Includes bibliographical references and index.Confirmatory factor analysis -- Structural equation model -- Latent growth models (LGM) for longitudinal data analysis -- Multi-group modeling -- Mixture modeling -- Sample size for structural equation modeling.Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes. Explores different methods for sample size estimate and statistical power analysis for SEM. By following the examples provided in this second edition, readers will be able to build their own SEM models using Mplus. Teachers, graduate students, and researchers in social sciences and health studies will also benefit from this book"--Provided by publisherStructural equation modelingData processingMultivariate analysisData processingSocial sciencesStatistical methodsData processingStructural equation modelingData processing.Multivariate analysisData processing.Social sciencesStatistical methodsData processing.300.285Wang Jichuan960180Wang XiaoqianMiAaPQMiAaPQMiAaPQBOOK9910555108103321Structural equation modeling2818973UNINA