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Titlebook: Partial Least Squares Path Modeling; Basic Concepts, Meth Hengky Latan,Joseph F. Hair, Jr.,Richard Noonan Book 2023Latest edition The Edito

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書(shū)目名稱(chēng)Partial Least Squares Path Modeling
副標(biāo)題Basic Concepts, Meth
編輯Hengky Latan,Joseph F. Hair, Jr.,Richard Noonan
視頻videohttp://file.papertrans.cn/742/741549/741549.mp4
概述Presents the latest developments in partial least squares path modeling (PLS-PM).Shows the theoretical and methodological advances in PLS-PM as well as real-world applications.Edited by prominent name
圖書(shū)封面Titlebook: Partial Least Squares Path Modeling; Basic Concepts, Meth Hengky Latan,Joseph F. Hair, Jr.,Richard Noonan Book 2023Latest edition The Edito
描述.Now in its second edition, this edited book presents recent progress and techniques in partial least squares path modeling (PLS-PM), and provides a comprehensive overview of the current state-of-the-art in PLS-PM research. Like the previous edition, the book is divided into three parts: the first part emphasizes the basic concepts and extensions of the PLS-PM method; the second part discusses the methodological issues that have been the focus of recent developments, and the last part deals with real-world applications of the PLS-PM method in various disciplines..This new edition broadens the scope of the first edition and consists of entirely new original contributions, again written by expert authors in the field, on a wide range of topics, including: how to perform quantile composite path modeling with R; the rationale and justification for using PLS-PM in top-tier journals; psychometric properties of three weighting schemes and why PLS-PM is a better fit to mode B; a comprehensive review of PLS software; how to perform out-of-sample predictions with ordinal consistent partial least squares; multicollinearity issues in PLS-PM using ridge regression; theorizing and testing specif
出版日期Book 2023Latest edition
關(guān)鍵詞Partial Least Squares Path Modeling; Partial Least Squares Structural Equation Modeling; Composite-bas
版次2
doihttps://doi.org/10.1007/978-3-031-37772-3
isbn_softcover978-3-031-37774-7
isbn_ebook978-3-031-37772-3
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerl
The information of publication is updating

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