This book presents powerful tools for integrating interrelated composites–such as capabilities, policies, treatments, indices, and systems–into structural equation modeling (SEM). Jrg 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 c SEM. The companion website includes data files and syntax for the books examples, along with presentation slides.
Jorg Henseler
Composite-Based Structural Equation Modeling [PDF ebook]
Analyzing Latent and Emergent Variables
Composite-Based Structural Equation Modeling [PDF ebook]
Analyzing Latent and Emergent Variables
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Język Angielski ● Format PDF ● Strony 364 ● ISBN 9781462545629 ● Wydawca Guilford Publications ● Opublikowany 2020 ● Do pobrania 3 czasy ● Waluta EUR ● ID 8118873 ● Ochrona przed kopiowaniem Adobe DRM
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