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Structural Equation Modeling: Concepts, Issues, and Applications.
Abstract
Foreword - Kenneth A Bollen Preface - Rick H Hoyle The Structural Equation Modeling Approach - Rick H Hoyle Basic Concepts and Fundamental Issues Model Specification - Robert C MacCallum Procedures, Strategies, and Related Issues Estimates and Tests in Structural Equation Modeling - Chih-Ping Chou and Peter M Bentler Structural Equation Models with Nonnormal Variables - Stephen G West, John F Finch and Patrick J Curran Problems and Remedies Evaluating Model Fit - Li-tze Hu and Peter M Bentler Statistical Power in Structural Equation Modeling - David Kaplan Objectivity and Reasoning in Science and Structural Equation Modeling - Stanley A Mulaik and Lawrence R James One Application of Structural Equation Modeling from Two Perspectives - Barbara M Byrne Exploring the EQS and LISREL Strategies Writing about Structural Equation Models - Rick H Hoyle and Abigail T Panter Latent Variable Models for Multitrait-Multimethod Data - Herbert W Marsh and David Grayson Sex-Race Differences in Social Support and Depression in Older Low-Income Adults - Jane A Scott-Lennox and Richard D Lennox Modeling the Relation of Personality Variables to Symptom Complaints - Jay G Hull, Judith C Tedlie and Daniel A Lehn The Unique Role of Negative Affectivity Predictors of Change in Antisocial Behavior during Elementary School for Boys - Mike Stoolmiller, Terry E Duncan and Gerald Patterson
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Cited by
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000) · Cognitive Psychology · doi:10.1006/cogp.1999.0734 · Cited by 15,798
Job demands, job resources, and their relationship with burnout and engagement: a multi‐sample study
Schaufeli, W. B., & Bakker, A. B. (2004) · Journal of Organizational Behavior · doi:10.1002/job.248 · Cited by 9,297
An assessment of the use of partial least squares structural equation modeling in marketing research
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-011-0261-6 · Cited by 8,088
The Measurement of Work Engagement With a Short Questionnaire: A Cross-National Study
Schaufeli, W. B., Bakker, A. B., & Salanova, M. (2006) · Educational and Psychological Measurement · doi:10.1177/0013164405282471 · Cited by 7,403
Principles and practice in reporting structural equation analyses.
McDonald, R. P., & Ho, M.-H. R. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.1.64 · Cited by 4,734
Metadata
- Authors
- Smith, M. D., & Hoyle, R. H.
- Venue
- The Statistician
- Publisher
- JSTOR
- Published
- 1996
- Volume
- 45
- Issue
- 2
- Pages
- 267
- ISSN
- 0039-0526 (ISSN-L)
- OpenAlex
- W2024650319
- Cited by
- 6,814
- References
- 0
- FWCI
- 92.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Smith, M. D., & Hoyle, R. H. (1996). Structural Equation Modeling: Concepts, Issues, and Applications. The Statistician. https://doi.org/10.2307/2988418
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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