Abstract
Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent developments such as Pearl's graphing theory and the structural causal model (SCM), measurement invariance, and more. Readers gain a comprehensive understanding of all phases of SEM, from data collection and screening to the interpretation and reporting of the results. Learning is enhanced by ex
Keywords
LISRELStructural equation modelingPath analysis (statistics)Confirmatory factor analysisComputer scienceLatent variableInterpretation (philosophy)Management scienceData scienceArtificial intelligenceEngineeringMachine learning
Affiliated Institutions
Related Publications
Factor analysis in the development and refinement of clinical assessment instruments.
The goals of both exploratory and confirmatory factor analysis are described and procedural guidelines for each approach are summarized, emphasizing the use of factor analysis i...
Teacher's Corner: Testing Measurement Invariance of Second-Order Factor Models
We illustrate testing measurement invariance in a second-order factor model using a quality of life dataset (n = 924). Measurement invariance was tested across 2 groups at a set...
A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research
The establishment of measurement invariance across groups is a logical prerequisite to conducting substantive cross-group comparisons (e.g., tests of group mean differences, inv...
Measurement Invariance, Factor Analysis and Factorial Invariance
Several concepts are introduced and defined: measurement invariance, structural bias, weak measurement invariance, strong factorial invariance, and strict factorial invariance. ...
PLS-SEM: Indeed a Silver Bullet
Structural equation modeling (SEM) has become a quasi-standard in marketing and management research when it comes to analyzing the cause-effect relations between latent construc...
Publication Info
- Year
- 2011
- Type
- book
- Citations
- 36206
- Access
- Closed
External Links
Citation Metrics
36206
OpenAlex
Cite This
Rex B. Kline
(2011).
Principles and practice of structural equation modeling.
.