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Partial Least Squares Path Modeling

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Cover of 'Partial Least Squares Path Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Partial Least Squares: The Gestation Period
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    Chapter 2 Partial Least Squares Path Modeling: Updated Guidelines
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    Chapter 3 Going Beyond Composites: Conducting a Factor-Based PLS-SEM Analysis
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    Chapter 4 A Perfect Match Between a Model and a Mode
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    Chapter 5 Quantile Composite-Based Model: A Recent Advance in PLS-PM
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    Chapter 6 Ordinal Consistent Partial Least Squares
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    Chapter 7 Predictive Path Modeling Through PLS and Other Component-Based Approaches: Methodological Issues and Performance Evaluation
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    Chapter 8 Mediation Analyses in Partial Least Squares Structural Equation Modeling: Guidelines and Empirical Examples
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    Chapter 9 Treating Unobserved Heterogeneity in PLS-SEM: A Multi-method Approach
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    Chapter 10 Applying Multigroup Analysis in PLS-SEM: A Step-by-Step Process
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    Chapter 11 Common Method Bias: A Full Collinearity Assessment Method for PLS-SEM
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    Chapter 12 Integrating Non-metric Data in Partial Least Squares Path Models: Methods and Application
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    Chapter 13 Model Misspecifications and Bootstrap Parameter Recovery in PLS-SEM and CBSEM-Based Exploratory Modeling
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    Chapter 14 Personality, Intellectual Ability, and the Self-Concept of Gifted Children: An Application of PLS-SEM
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    Chapter 15 Ethical Awareness, Ethical Judgment, and Whistleblowing: A Moderated Mediation Analysis
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    Chapter 16 Latent Variable Regression for Laboratory Hyperspectral Images
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    Chapter 17 Dealing with Nonlinearity in Importance-Performance Map Analysis (IPMA): An Integrative Framework in a PLS-SEM Context
Attention for Chapter 17: Dealing with Nonlinearity in Importance-Performance Map Analysis (IPMA): An Integrative Framework in a PLS-SEM Context
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Chapter title
Dealing with Nonlinearity in Importance-Performance Map Analysis (IPMA): An Integrative Framework in a PLS-SEM Context
Chapter number 17
Book title
Partial Least Squares Path Modeling
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-64069-3_17
Book ISBNs
978-3-31-964068-6, 978-3-31-964069-3
Authors

Sandra Streukens, Sara Leroi-Werelds, Kim Willems

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Student > Master 7 11%
Student > Doctoral Student 4 6%
Student > Postgraduate 4 6%
Lecturer 3 5%
Other 10 15%
Unknown 24 36%
Readers by discipline Count As %
Business, Management and Accounting 16 24%
Social Sciences 5 8%
Economics, Econometrics and Finance 4 6%
Engineering 3 5%
Computer Science 2 3%
Other 7 11%
Unknown 29 44%