Why Psychological Assessment Needs to Start Worrying About Model Fit-Reference-Cited by-同舟云学术

Why Psychological Assessment Needs to Start Worrying About Model Fit

Published:2017-09 Issue:5 Volume:33 Page:313-317
ISSN:1015-5759
Container-title:European Journal of Psychological Assessment
language:en
Short-container-title:European Journal of Psychological Assessment

Author:

Greiff Samuel¹,Heene Moritz²

Affiliation:

1. Cognitive Science and Assessment, University of Luxembourg, Esch, Luxembourg

2. Department of Psychology, LMU Munich, Germany

Publisher

Hogrefe Publishing Group

Subject

Applied Psychology

Link

https://econtent.hogrefe.com/doi/pdf/10.1027/1015-5759/a000450

Reference24 articles.

1. Breivik, E. & Olsson, U. H. (2001, March 2). Adding variables to improve fit: The effect of model size on fit assessment in LISREL. In R. Cudeck, S. Du Toit & D. Sörbom (Eds.), Structural equation modeling: Present and future. A Festschrift in honour of Karl Jöreskog (pp. 169–194). Chicago, IL: Scientific Software International.

2. An Empirical Evaluation of the Use of Fixed Cutoff Points in RMSEA Test Statistic in Structural Equation Models

3. Contributors, semTools. (2016). semTools: Useful tools for structural equation modeling, Retrieved from CRAN.R-project.org/package=semTools

4. Sensitivity of Fit Indices to Model Misspecification and Model Types

5. A new look at Horn’s parallel analysis with ordinal variables.

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