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Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables (Methodology in the Social Sciences) - Tapa dura
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Sinopsis
This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Jörg Henseler introduces the types of research questions that can be addressed with composite-based SEM and explores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importance–performance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides.
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Acerca del autor
Jörg Henseler, PhD, is Full Professor and Chair of Product–Market Relations in the Faculty of Engineering Technology of the University of Twente in The Netherlands. He is also Visiting Professor at NOVA Information Management School, NOVA University of Lisbon, Portugal, and Distinguished Invited Professor in the Department of Business Administration and Marketing at the University of Seville, Spain. His broad-ranging research interests encompass empirical methods of marketing and design research as well as the management of design, products, services, and brands. A highly cited researcher, Dr. Henseler is a leading expert on partial least squares (PLS) path modeling, a composite-based structural equation modeling (SEM) technique that bridges design and behavioral research. He has written dozens of scholarly articles, edited or authored several books, served as guest editor for three special journal issues, and chaired conferences on PLS. He serves on several journal editorial boards and has been an invited speaker on SEM at universities around the world. Dr. Henseler chairs the scientific advisory board for the ADANCO software program and regularly provides seminars on PLS path modeling at the PLS School.
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Composite-Based Structural Equation Modeling (Hardcover)
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Guilford Publications, New York, 2021
ISBN 10: 1462545602
ISBN 13: 9781462545605
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Hardcover. Condición: new. Hardcover. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Joerg Henseler introduces the types of research questions that can be addressed with composite-based SEM and explores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importanceperformance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781462545605
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Composite-Based Structural Equation Modeling (Hardcover)
Publicado por
Guilford Publications, New York, 2021
ISBN 10: 1462545602
ISBN 13: 9781462545605
Nuevo
Tapa dura
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Joerg Henseler introduces the types of research questions that can be addressed with composite-based SEM and explores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importanceperformance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781462545605
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Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables (Methodology in the Social Sciences)
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Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables (Methodology in the Social Sciences)
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Composite-Based Structural Equation Modeling (Hardcover)
Publicado por
Guilford Publications, New York, 2021
ISBN 10: 1462545602
ISBN 13: 9781462545605
Nuevo
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Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Joerg Henseler introduces the types of research questions that can be addressed with composite-based SEM and explores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importanceperformance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781462545605
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