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Beginner''s Guide to Structural Equation Modeling

Inglese · Copertina rigida

Spedizione di solito entro 1 a 3 settimane

Descrizione

Ulteriori informazioni

A Beginner's Guide to Structural Equation Modeling, fifth edition, has been redesigned with consideration of a true beginner in structural equation modeling (SEM) in mind. The book covers introductory through intermediate topics in SEM in more detail than in any previous edition.
All of the chapters that introduce models in SEM have been expanded to include easy-to-follow, step-by-step guidelines that readers can use when conducting their own SEM analyses. These chapters also include examples of tables to include in results sections that readers may use as templates when writing up the findings from their SEM analyses. The models that are illustrated in the text will allow SEM beginners to conduct, interpret, and write up analyses for observed variable path models to full structural models, up to testing higher order models as well as multiple group modeling techniques. Updated information about methodological research in relevant areas will help students and researchers be more informed readers of SEM research. The checklist of SEM considerations when conducting and reporting SEM analyses is a collective set of requirements that will help improve the rigor of SEM analyses.
This book is intended for true beginners in SEM and is designed for introductory graduate courses in SEM taught in psychology, education, business, and the social and healthcare sciences. This book also appeals to researchers and faculty in various disciplines. Prerequisites include correlation and regression methods.

Info autore

Tiffany A. Whittaker is an Associate Professor in the Department of Educational Psychology at The University of Texas at Austin, USA, where she teaches courses in structural equation modeling, statistical analysis for experimental data, and advanced statistical modeling.
Randall E. Schumacker is a Professor of Educational Research at The University of Alabama, USA, where he teaches courses in multiple regression, multivariate statistics, and structural equation modeling.

Riassunto

A Beginner’s Guide to Structural Equation Modeling, fifth edition, has been redesigned with consideration of a true beginner in structural equation modeling (SEM) in mind. The book covers introductory through intermediate topics in SEM in more detail than in any previous edition.

Dettagli sul prodotto

Autori Tiffany A. Whittaker, Randall E. Schumacker, Tiffany A. Schumacker Whittaker, Schumacker Randall E., Whittaker Tiffany A., Randall E. Whittaker Schumacker
Editore Taylor & Francis Ltd.
 
Contenuto Libro
Forma del prodotto Copertina rigida
Data pubblicazione 30.04.2022
Categoria Scienze naturali, medicina, informatica, tecnica > Scienze naturali, tematiche generali
Scienze sociali, diritto, economia > Media, comunicazione > Scienze della comunicazione
Saggistica > Psicologia, esoterismo, spiritualità, antroposofia > Psicologia: tematiche generali, opere di consultaz
 
EAN 9780367490157
ISBN 978-0-367-49015-7
Numero di pagine 400
 
Categorie Parameter, Sociology, Economics, Business and Management, PSYCHOLOGY / General, BUSINESS & ECONOMICS / Statistics, Society & culture: general, PSYCHOLOGY / Statistics, SOCIAL SCIENCE / Statistics, EDUCATION / Statistics, Business & management, Psychological methodology, Society and culture: general, Higher & further education, tertiary education, Higher education, tertiary education, Research methods: general, Sample, Modification, Structural Equation Modeling, multivariate statistics, Variance, missing data, Covariance, confirmatory factor analysis, Factor model, Estimates, educational research methods, Raw data, Multiple Linear Regression, multiple imputation, structural model, measurement invariance, introductory SEM guide for graduate students, Unstandardized Indirect Effect, Bifactor model, SEM Model, CFA Model, Full SEM Model, SEM Software, Error Covariances, Initial Measurement Model, Model Implied Covariance Matrix, Equivalent Models, Multiple Group Model, QOL Factor, Multiple Group CFA, Multiple Group Path Model, Multiple Group, Initial CFA, Multiple Group CFA Model, Standardized Residual Variance
 

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