UID:
almahu_9949744358402882
Umfang:
XVII, 219 p. 137 illus., 117 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2024.
ISBN:
9783031326738
Serie:
Synthesis Lectures on Mathematics & Statistics,
Inhalt:
This book presents a comprehensive overview of Structural Equation Modeling and how it can be applied to address research issues in different disciplines. The authors employ a 'simple to complex' approach. The book reviews topics such as variance, covariance, correlation, multiple regression, mediation, moderation, path analysis, and confirmatory factor analysis. The authors then discuss the initial steps for performing structural equation modeling, including model specification, model identification, model estimation, model testing, and model modification. The book includes an introduction to the IBM SPSS and IBM SPSS Amos software. The authors the explain how this software can be utilized for developing measurement, structural models, and SEM models. The book provides conceptual clarity in understanding the models and discusses practical approaches to solving them. The authors also highlight how these techniques can be applied to various disciplines, including psychology, education,sociology, business, medicine, political science, and biological sciences.
Anmerkung:
1. Overview Of Structural Equation Modelling -- 2. Introduction To Spss And Amos Software -- 3. Understanding Correlation And Regression -- 4. Understanding The Mediation Model -- 5. Understanding Path Analysis With Multiple Regression -- 6. Understanding Path Analysis With Structural Equation Modelling -- 7. Confirmatory Factor Analysis With Structural Equation Modelling.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031326721
Weitere Ausg.:
Printed edition: ISBN 9783031326745
Weitere Ausg.:
Printed edition: ISBN 9783031326752
Sprache:
Englisch
DOI:
10.1007/978-3-031-32673-8
URL:
https://doi.org/10.1007/978-3-031-32673-8
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