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Composite-Based Structural Equation Modeling : Analyzing Latent and Emergent Variables PDF
by Jorg Henseler
Part of the Methodology in the Social Sciences Series series
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Description
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 cSEM. The companion website includes data files and syntax for the books examples, along with presentation slides.
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- Format:PDF
- Pages:364 pages
- Publisher:Guilford Publications
- Publication Date:24/12/2020
- Category:
- ISBN:9781462545629
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- Hardback from £53.59
Information
-
Download Now
- Format:PDF
- Pages:364 pages
- Publisher:Guilford Publications
- Publication Date:24/12/2020
- Category:
- ISBN:9781462545629