书目名称 | Understanding Structural Equation Modeling | 副标题 | A Manual for Researc | 编辑 | J.P. Verma,Priyam Verma | 视频video | | 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 | 丛书名称 | Synthesis Lectures on Mathematics & Statistics | 图书封面 |  | 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 | 关键词 | Structural Equation Modeling; Confirmatory Factor Analysis; Path Analysis; Multiple Regression Analysis | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-32673-8 | isbn_softcover | 978-3-031-32675-2 | isbn_ebook | 978-3-031-32673-8Series ISSN 1938-1743 Series E-ISSN 1938-1751 | issn_series | 1938-1743 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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