Evaluating Goodness-of-Fit Indices for Composite Models:The Case of Differences

Research on goodness-of-fit indices has improved our understanding of what constitutes a good model fit. However, this research has mainly focused on models containing common factors. Over the last decade, interest in composite models has increased. Therefore, we investigate whether the established understanding of good model fit also applies to composite models in order to ascertain <br/>whether the established intuition is valid in this context

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University of Twente Research Information
Published
2026-04-16
Primary Topic
Psychometric Methodologies and Testing
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article

Evaluating Goodness-of-Fit Indices for Composite Models:The Case of Differences

Emily Fuchs, Florian; id_orcid 0000-0002-2110-9086 Schuberth, Jörg; id_orcid 0000-0002-9736-3048 Henseler
University of Twente Research Information
Psychometric Methodologies and Testing
article

Evaluating Goodness-of-Fit Indices for Composite Models:The Case of Differences

Emily Fuchs, Florian; id_orcid 0000-0002-2110-9086 Schuberth, Jörg; id_orcid 0000-0002-9736-3048 Henseler
article en

Abstract

Research on goodness-of-fit indices has improved our understanding of what constitutes a good model fit. However, this research has mainly focused on models containing common factors. Over the last decade, interest in composite models has increased. Therefore, we investigate whether the established understanding of good model fit also applies to composite models in order to ascertain <br/>whether the established intuition is valid in this context

University of Twente Research Information
Openalex Percentile: Top 3%
Psychometric Methodologies and Testing
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Evaluating Goodness-of-Fit Indices for Composite Models:The Case of Differences — Emily Fuchs, Florian; id_orcid 0000-0002-2110-9086 Schuberth, et al. · University of Twente Research Information (2026) | TGRS Research Map | TGRS