Partial Least Squares Path Modeling
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portes grátis
Partial Least Squares Path Modeling
Basic Concepts, Methodological Issues and Applications
Latan, Hengky; Noonan, Richard
Springer International Publishing AG
08/2018
414
Mole
Inglês
9783319877143
15 a 20 dias
688
Descrição não disponível.
Dedication.- Foreword.- Preface.- Table of Contents.- Part I: Basic Concepts and Extensions.- Partial Least Squares: The Gestation Period (Richard Noonan).- Partial Least Squares Path Modeling: Updated Guidelines (Joerg Henseler, Geoffrey Hubona, and Pauline Ash Ray).- Going Beyond Composites: Conducting a Factor-Based PLS-SEM Analysis (Ned Kock).- The Perfect Match between a Model and a Mode (Theo K. Dijkstra).- Quantile Composite-Based Model: A Recent Advance in PLS-PM (Cristina Davino, Pasquale Dolce, and Stefania Taralli).- Ordinal Consistent Partial Least Squares (Florian Schuberth and Gabriele Cantaluppi).- Part II: Methodological Issues.- Predictive Path Modeling through PLS and Other Component-Based Approaches: Methodological Issues and Performance Evaluation (Pasquale Dolce, Vincenzo Esposito Vinzi, and Carlo Lauro).- Mediation Analyses in Partial Least Squares Structural Equation Modeling: Guidelines and Empirical Examples (Gabriel Cepeda, Christian Nitzl, and Jose Luis Roldan).- Treating Unobserved Heterogeneity in PLS-SEM: A Multi-Method Approach (Marko Sarstedt, Christian M. Ringle, and Joe F. Hair).- Applying Multigroup Analysis in PLS-SEM: A Step-by-Step Process (Lucy Matthews).- Common Methods Bias: A Full Collinearity Assessment Method for PLS-SEM (Ned Kock).- Integrating Non-Metric Data in Partial Least Squares Path Models: Methods and Application (Francesca Petrarca, Giorgio Russolillo and Laura Trinchera).- Model Misspecifications and Bootstrap Parameter Recovery in PLS-SEM and CBSEM based Exploratory Modeling (Pratyush N. Sharma, Ryan Pohlig, and Kevin H. Kim).- Part III: Applications.- Personality, Intellectual Ability, and the Self-Concept of Gifted Children: An Application of PLS-SEM (R. Frank Falk).- Ethical Awareness, Ethical Judgment and Whistleblowing: A Moderated Mediation Analysis (Hengky Latan, Charbel Jose Chiappetta Jabbour and Ana Beatriz Lopes de Sousa Jabbour).- Latent Variable Regression for Laboratory Hyperspectral Images (Paul Geladi, Hans Grahn, and Kim H. Esbensen).- Dealing with Nonlinearity in Importance-Performance Map Analysis (IPMA): An Integrative Framework in a PLS-SEM Context (Sandra Streukens, Sara Leroi-Werelds, and Kim Willems).- Appendix.- About the Authors.- Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
partial least squares path modeling;PLS-SEM;structural equation modeling;predictive path modeling;PLS and computing;factor-based PLS-SEM;consistent ordinal partial least squares;unobserved heterogeneity;hierarchical analysis;partial least squares with latent variables;analysis of mediation;PLS path modeling for non-metric data
Dedication.- Foreword.- Preface.- Table of Contents.- Part I: Basic Concepts and Extensions.- Partial Least Squares: The Gestation Period (Richard Noonan).- Partial Least Squares Path Modeling: Updated Guidelines (Joerg Henseler, Geoffrey Hubona, and Pauline Ash Ray).- Going Beyond Composites: Conducting a Factor-Based PLS-SEM Analysis (Ned Kock).- The Perfect Match between a Model and a Mode (Theo K. Dijkstra).- Quantile Composite-Based Model: A Recent Advance in PLS-PM (Cristina Davino, Pasquale Dolce, and Stefania Taralli).- Ordinal Consistent Partial Least Squares (Florian Schuberth and Gabriele Cantaluppi).- Part II: Methodological Issues.- Predictive Path Modeling through PLS and Other Component-Based Approaches: Methodological Issues and Performance Evaluation (Pasquale Dolce, Vincenzo Esposito Vinzi, and Carlo Lauro).- Mediation Analyses in Partial Least Squares Structural Equation Modeling: Guidelines and Empirical Examples (Gabriel Cepeda, Christian Nitzl, and Jose Luis Roldan).- Treating Unobserved Heterogeneity in PLS-SEM: A Multi-Method Approach (Marko Sarstedt, Christian M. Ringle, and Joe F. Hair).- Applying Multigroup Analysis in PLS-SEM: A Step-by-Step Process (Lucy Matthews).- Common Methods Bias: A Full Collinearity Assessment Method for PLS-SEM (Ned Kock).- Integrating Non-Metric Data in Partial Least Squares Path Models: Methods and Application (Francesca Petrarca, Giorgio Russolillo and Laura Trinchera).- Model Misspecifications and Bootstrap Parameter Recovery in PLS-SEM and CBSEM based Exploratory Modeling (Pratyush N. Sharma, Ryan Pohlig, and Kevin H. Kim).- Part III: Applications.- Personality, Intellectual Ability, and the Self-Concept of Gifted Children: An Application of PLS-SEM (R. Frank Falk).- Ethical Awareness, Ethical Judgment and Whistleblowing: A Moderated Mediation Analysis (Hengky Latan, Charbel Jose Chiappetta Jabbour and Ana Beatriz Lopes de Sousa Jabbour).- Latent Variable Regression for Laboratory Hyperspectral Images (Paul Geladi, Hans Grahn, and Kim H. Esbensen).- Dealing with Nonlinearity in Importance-Performance Map Analysis (IPMA): An Integrative Framework in a PLS-SEM Context (Sandra Streukens, Sara Leroi-Werelds, and Kim Willems).- Appendix.- About the Authors.- Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
partial least squares path modeling;PLS-SEM;structural equation modeling;predictive path modeling;PLS and computing;factor-based PLS-SEM;consistent ordinal partial least squares;unobserved heterogeneity;hierarchical analysis;partial least squares with latent variables;analysis of mediation;PLS path modeling for non-metric data
