Chi-square Difference Tests for Comparing Nested Models: An Evaluation with Non-normal Data-Reference-Cited by-同舟云学术

Chi-square Difference Tests for Comparing Nested Models: An Evaluation with Non-normal Data

Published:2020-02-12 Issue:6 Volume:27 Page:908-917
ISSN:1070-5511
Container-title:Structural Equation Modeling: A Multidisciplinary Journal
language:en
Short-container-title:Structural Equation Modeling: A Multidisciplinary Journal

Author:

Pavlov Goran¹²^ORCID,Shi Dexin¹^ORCID,Maydeu-Olivares Alberto¹²^ORCID

Affiliation:

1. University of South Carolina

2. University of Barcelona

Funder

Division of Social and Economic Sciences

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/10705511.2020.1717957

Reference46 articles.

1. Asparouhov, T. & Muthén, B. (2006). Robust chi square difference testing with mean and variance adjusted test statistics (Mplus Web Notes No. 10). Retrieved from http://www.statmodel.com/download/webnotes/webnote10.pdf

2. Asparouhov, T. & Muthén, B. (2010). Simple second order chi-square correction (Technical appendix). Retrieved from https://www.statmodel.com/download/WLSMV_new_chi21.pdf

3. Asparouhov, T. & Muthén, B. (2013). Computing the strictly positive Satorra-Bentler chi-square test in Mplus (Mplus Web Notes No. 12). Retrieved from https://www.statmodel.com/examples/webnotes/SB5.pdf

4. Testing model nesting and equivalence.

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