Exploring the Performance of Latent Moderated Structural Equations Approach for Ordered-Categorical Items-Reference-Cited by-同舟云学术

Exploring the Performance of Latent Moderated Structural Equations Approach for Ordered-Categorical Items

Published:2020-11-23 Issue:3 Volume:28 Page:410-422
ISSN:1070-5511
Container-title:Structural Equation Modeling: A Multidisciplinary Journal
language:en
Short-container-title:Structural Equation Modeling: A Multidisciplinary Journal

Author:

Aytürk Ezgi¹^ORCID,Cham Heining¹^ORCID,Jennings Patricia A.²^ORCID,Brown Joshua L.¹^ORCID

Affiliation:

1. Fordham University

2. University of Virginia

Funder

Institute of Education Sciences

Publisher

Informa UK Limited

Subject

General Economics, Econometrics and Finance,Sociology and Political Science,Modelling and Simulation,General Decision Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/10705511.2020.1810047

Reference31 articles.

1. Asparouhov, T. & Muthén, B. O. (2019). Latent variable interactions using maximum-likelihood and Bayesian estimation for single- and two-level models. Mplus Web Notes: No. 23. Retrieved from https://www.statmodel.com/examples/webnotes/webnote%2023.pdf

2. Latent Variable Interactions With Ordered-Categorical Indicators: Comparisons of Unconstrained Product Indicator and Latent Moderated Structural Equations Approaches

3. Full Information Maximum Likelihood Estimation for Latent Variable Interactions With Incomplete Indicators

4. Estimating Latent Variable Interactions With Nonnormal Observed Data: A Comparison of Four Approaches

5. A simple method for converting an odds ratio to effect size for use in meta-analysis

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