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Estimating and interpreting latent variable interactions: A tutorial for applying the latent moderated structural equations method

Open access
Maslowsky, Julie, Jager, Justin, Hemken, Douglas·2015·International Journal of Behavioral Development

Abstract

Latent variables are common in psychological research. Research questions involving the interaction of two variables are likewise quite common. Methods for estimating and interpreting interactions between latent variables within a structural equation modeling framework have recently become available. The latent moderated structural equations (LMS) method is one that is built into Mplus software. The potential utility of this method is limited by the fact that the models do not produce traditional model fit indices, standardized coefficients, or effect sizes for the latent interaction, which renders model fitting and interpretation of the latent variable interaction difficult. This article compiles state-of-the-science techniques for assessing LMS model fit, obtaining standardized coefficients, and determining the size of the latent interaction effect in order to create a tutorial for new users of LMS models. The recommended sequence of model estimation and interpretation is demonstrated via a substantive example and a Monte Carlo simulation. Finally, extensions of this method are discussed, such as estimating quadratic effects of latent factors and interactions between latent slope and intercept factors, which hold significant potential for testing and advancing developmental theories.

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Metadata

Authors
Maslowsky, J., Jager, J., & Hemken, D.
Venue
International Journal of Behavioral Development
Published
2014-10-13
Volume
39
Issue
1
Pages
87-96
ISSN
  • 0165-0254 (ISSN-L)
  • 1464-0651
OpenAlex
W2161551996
Cited by
659
References
29
FWCI
23.41
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Estimating and interpreting latent variable interactions: A tutorial for applying the latent moderated structural equations method. https://app.cochat.ai/papers/10.1177/0165025414552301
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Maslowsky, J., Jager, J., & Hemken, D. (2015). Estimating and interpreting latent variable interactions: A tutorial for applying the latent moderated structural equations method. International Journal of Behavioral Development. https://doi.org/10.1177/0165025414552301

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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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