A primer on partial least squares structural equations modeling (PLS-SEM)

書誌事項

A primer on partial least squares structural equations modeling (PLS-SEM)

Joseph F. Hair, Jr. ... [et al.]

Sage, c2014

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注記

Includes bibliographical references (p. 282-289) and indexes

内容説明・目次

内容説明

PLS-SEM is evolving as a statistical modeling technique and its use has increased exponentially in recent years within a variety of disciplines, due to the recognition that PLS-SEM's distinctive methodological features make it a viable alternative to the more popular covariance-based SEM approach. This text-the only comprehensive book available to explain the fundamental aspects of the method-includes extensive examples on SmartPLS software, and is accompanied by multiple data sets that are available for download from the accompanying website (www.pls-sem.com).

目次

Chapter One: Structural Equation Modeling Chapter Two: Specifying the Path Model and Collecting Data Chapter Three: Path Model Estimation Chapter Four: Assessing PLS-SEM Results Part I: Evaluation of Reflective Measurement Models Chapter Five: Assessing PLS-SEM Results Part II: Evaluation of the Formative Measurement Models Chapter Six: Assessing PLS-SEM Results Part III: Evaluation of the Structural Model Chapter Seven: Advanced Topics in PLS Path Modeling Chapter Eight: Modeling Heterogeneous Data

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