The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Quasi-Maximum Likelihood Estimation of Structural Equation Models With Multiple Interaction and Quadratic Effects
Abstract
In this article, a nonlinear structural equation model is introduced and a quasi-maximum likelihood method for simultaneous estimation and testing of multiple nonlinear effects is developed. The focus of the new methodology lies on efficiency, robustness, and computational practicability. Monte-Carlo studies indicate that the method is highly efficient and that the likelihood ratio test of nonlinear effects is robust and outperforms alternative testing procedures. The new method is applied to empirical data of middle-aged men, where a latent interaction between physical fitness and flexibility in goal adjustment on complaint level is hypothesized. A model with 5 simultaneous nonlinear effects is analyzed, and the hypothesized interaction is quantified and tested positively against an additive model with quadratic and linear effects.
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Citations
Cites
Job Demands, Job Decision Latitude, and Mental Strain: Implications for Job Redesign
Karasek, R. A. (1979) · Administrative Science Quarterly · doi:10.2307/2392498 · Cited by 12,597
Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control
Ajzen, I., & Madden, T. J. (1986) · Journal of Experimental Social Psychology · doi:10.1016/0022-1031(86)90045-4 · Cited by 5,718
Maximum Likelihood Estimation of Latent Interaction Effects with the LMS Method
Klein, A., & Moosbrugger, H. (2000) · Psychometrika · doi:10.1007/bf02296338 · Cited by 1,429
Self-citationBrandtstädter, J., & Renner, G. (1990) · Psychology and Aging · doi:10.1037/0882-7974.5.1.58 · Cited by 1,131
EFRON, B., & HINKLEY, D. V. (1978) · Biometrika · doi:10.1093/biomet/65.3.457 · Cited by 952
Cited by
Ullman, J. B., & Bentler, P. M. (2012) · Handbook of Psychology, Second Edition · doi:10.1002/9781118133880.hop202023 · Cited by 330
A novel measure of effect size for mediation analysis
Lachowicz, M. J., Preacher, K. J., & Kelley, K. (2018) · Psychological Methods · doi:10.1037/met0000165 · Cited by 271
Meta-analytic structural equation modeling with moderating effects on SEM parameters.
Jak, S., & Cheung, M. W. L. (2020) · Psychological Methods · doi:10.1037/met0000245 · Cited by 262
Relating alternative forms of contingency fit to the appropriate methods to test them
Burkert, M., Davila, A., Mehta, K., & Oyon, D. (2014) · Management Accounting Research · doi:10.1016/j.mar.2013.07.008 · Cited by 87
Allan, N. P., Macatee, R. J., Norr, A. M., & Schmidt, N. B. (2014) · Cognitive Therapy and Research · doi:10.1007/s10608-014-9623-y · Cited by 78
Metadata
- Authors
- Klein, A. G., & Muthén, B. O.
- Venue
- Multivariate Behavioral Research
- Publisher
- Informa UK Limited
- Published
- 2007-12-28
- Volume
- 42
- Issue
- 4
- Pages
- 647-673
- ISSN
- 0027-3171 (ISSN-L)
- 1532-7906
- OpenAlex
- W1976520781
- Cited by
- 253
- References
- 5
- FWCI
- 8.58
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
