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Titlebook: Understanding Structural Equation Modeling; A Manual for Researc J.P. Verma,Priyam Verma Book 2024 The Editor(s) (if applicable) and The Au

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書目名稱Understanding Structural Equation Modeling
副標(biāo)題A Manual for Researc
編輯J.P. Verma,Priyam Verma
視頻videohttp://file.papertrans.cn/942/941667/941667.mp4
概述Instructs readers on the basics of the IBM SPSS and IBM SPSS Amos software and its applications.Presents the topic accessibly to readers without backgrounds in advanced statistics, mathematics, or pro
叢書名稱Synthesis Lectures on Mathematics & Statistics
圖書封面Titlebook: Understanding Structural Equation Modeling; A Manual for Researc J.P. Verma,Priyam Verma Book 2024 The Editor(s) (if applicable) and The Au
描述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.
出版日期Book 2024
關(guān)鍵詞Structural Equation Modeling; Confirmatory Factor Analysis; Path Analysis; Multiple Regression Analysis
版次1
doihttps://doi.org/10.1007/978-3-031-32673-8
isbn_softcover978-3-031-32675-2
isbn_ebook978-3-031-32673-8Series ISSN 1938-1743 Series E-ISSN 1938-1751
issn_series 1938-1743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Introduction to the Mediation Model,Mediation analysis is a powerful statistical technique used to understand the relationship between two variables and how one variable influences the other through a mediator variable.
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