The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Testing Interaction Effects in LISREL: Examination and Illustration of Available Procedures
Abstract
The concomitant proliferation of causal modeling and hypotheses of multiplicative effects has brought about a tremendous need for procedures that allow the testing of moderated structural equation models (MSEMs). The seminal work of Kenny and Judd and Hayduk has been drawn on by several authors in the past 10 years, thus producing procedures that allow for such tests. Yet, utilization of MSEMs in empirical research has been quite rare. The purposes of this article are twofold. First, the authors discuss general issues with respect to multivariate normality, indicators of latent products, the nature of latent products, and identification problems in MSEM. Second, they review and illustrate techniques that are available for the testing of interaction effects in structural equation models.
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“Asymptotic distribution-free estimators are now available for non-normal data (Browne, 1984;Jo ¨reskog & So ¨rbom, 2004) but they require much larger sample sizes (in the 1,000 s; see Cortina, Chen & Dunlap, 2001;Hu, Bentler, & Kano, 1992) than was available here.”
From Confirmatory Factor Analysis of the Behavior Rating Inventory of Executive Function-Adult Version in Healthy Adults and Application to Attention-Deficit/Hyperactivity Disorder (2013) · cites this paper as Cortina, Chen & Dunlap, 2001
In the citing paper
“Rather, we used normal theory maximum likelihood estimators that have been shown to be robust to at least modest violations of the multivariate normality assumption (Chou, Bentler, & Satorra, 1991;Cortina et al., 2001).”
From Confirmatory Factor Analysis of the Behavior Rating Inventory of Executive Function-Adult Version in Healthy Adults and Application to Attention-Deficit/Hyperactivity Disorder (2013) · cites this paper as Cortina et al., 2001
Citations
Cites
Multiple regression: testing and interpreting interactions
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Asymptotically distribution-free methods for the analysis of covariance structures.
Browne, M. (1984) · British Journal of Mathematical & Statistical Psychology · doi:10.1111/j.2044-8317.1984.tb00789.x · Cited by 1,890
Structural Equation Modeling with LISREL
Hayduk, L. A. (1988) · Johns Hopkins University Press eBooks · doi:10.56021/9780801834783 · Cited by 1,874
Can test statistics in covariance structure analysis be trusted?
Hu, L.-T., Bentler, P., & Kano, Y. (1992) · Psychological bulletin · doi:10.1037/0033-2909.112.2.351 · Cited by 1,568
Causal Analysis: Assumptions, Models, and Data
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Research works printed but not linked: 5
- Cohen, J. & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
- 10.1177/014920639301900411 · DOI
- DeShon, R. P. & Schmitt, N. (1999, April). An evaluation of methods for modeling interactions in structural equation models. Paper presented at the 15th annual Society for Industrial and Organizational Psychology conference, Atlanta, GA.
- 10.1177/014920639602200107 · DOI
- Satorra, A. & Bentler, P. M. (1988). Scaling corrections for chi-squared statistics in covariance structure analysis. Proceedings of the American Statistical Association, 1, 308-313.
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The role of personal resources in the job demands-resources model.
Xanthopoulou, D., Bakker, A. B., Demerouti, E., & Schaufeli, W. B. (2007) · International Journal of Stress Management · doi:10.1037/1072-5245.14.2.121 · Cited by 3,418
Allen, D. G., Shore, L. M., & Griffeth, R. W. (2003) · Journal of Management · doi:10.1177/014920630302900107 · Cited by 1,778
Job resources boost work engagement, particularly when job demands are high.
Bakker, A. B., Hakanen, J. J., Demerouti, E., & Xanthopoulou, D. (2007) · Journal of Educational Psychology · doi:10.1037/0022-0663.99.2.274 · Cited by 2,111
Understanding the elusive black Box of dynamic capabilities
Pavlou, P. A., & El Sawy, O. A. (2011) · Decision Sciences · doi:10.1111/j.1540-5915.2010.00287.x · Cited by 1,329
Ahearne, M., Mathieu, J. E., & Rapp, A. A. (2005) · Journal of Applied Psychology · doi:10.1037/0021-9010.90.5.945 · Cited by 1,265
Metadata
- Authors
- Cortina, J. M., Chen, G., & Dunlap, W. P.
- Affiliations
- George Mason University (US)
- Tulane University (US)
- Venue
- Organizational Research Methods
- Publisher
- SAGE Publications
- Published
- 2001-10
- Volume
- 4
- Issue
- 4
- Pages
- 324-360
- ISSN
- 1094-4281 (ISSN-L)
- 1552-7425
- OpenAlex
- W2146073395
- Cited by
- 512
- References
- 30
- Citations by year
- 2026: 20 · 2025: 10 · 2024: 21 · 2023: 15 · 2022: 23 · 2021: 20 · 2020: 31 · 2019: 27 · 2018: 29 · 2017: 28 · 2016: 23 · 2015: 38 · 2014: 35 · 2013: 33 · 2012: 27
- FWCI
- 5.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Organizational Research Methods (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- interaction effects, multivariate normality, identification problem, LISREL, multiplicative effects, latent variable interactions
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