The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Latent variable interaction and quadratic effect estimation: A two-step technique using structural equation analysis.
Abstract
The author proposes an alternative estimation technique for latent variable interactions and quadraties. Available techniques for specifying these variables in structural equation models require adding variables or constraint equations that can produce specification tedium and errors or estimation difficulties. The proposed technique avoids these difficulties and may be useful for EQS, LISREL 7, and LISREL 8 users. First, measurement parameters for indicator Ioadings and errors of linear latent variables are estimated in a measurement model that excludes the interaction and quadratic variables. Next, these estimates are used to calculate values for the indicator loadings and error variances ofthe interaction and quadratic latent variables. Then, these calculated values are specified as constants in the structural model containing the interaction and quadratic variables. Interaction and quadratic effects are routinely reported for categorical independent variables (i.e., in analysis of variance) frequently to aid in the interpretation of significant main effects. However, interaction and quadratic effects are less frequently reported for continuous independent variables.
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Cites
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Cited by
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003) · Information Systems Research · doi:10.1287/isre.14.2.189.16018 · Cited by 6,479
Testing moderator and mediator effects in counseling psychology research.
Frazier, P. A., Tix, A. P., & Barron, K. E. (2004) · Journal of Counseling Psychology · doi:10.1037/0022-0167.51.1.115 · Cited by 4,037
Predicting e-services adoption: A perceived risk facets perspective
Featherman, M. S., & Pavlou, P. A. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00111-3 · Cited by 3,351
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
Marsh, H. W., Wen, Z., & Hau, K.-T. (2004) · Psychological Methods · doi:10.1037/1082-989x.9.3.275 · Cited by 1,205
Metadata
- Authors
- Ping, R. A.
- Venue
- Psychological Bulletin
- Published
- 1996-01
- Volume
- 119
- Issue
- 1
- Pages
- 166-175
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W2098862099
- Cited by
- 309
- References
- 36
- FWCI
- 9.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ping, R. A. (1996). Latent variable interaction and quadratic effect estimation: A two-step technique using structural equation analysis. Psychological Bulletin. https://doi.org/10.1037/0033-2909.119.1.166
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
