Focusing Narrowly on Model Fit in Factor Analysis Can Mask Construct Heterogeneity and Model Misspecification: Applied Demonstrations across Sample and Assessment Types
| Autor: | Kasey, Stanton, Ashley L, Watts, Holly F, Levin-Aspenson, Ryan W, Carpenter, Noah N, Emery, Mark, Zimmerman |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of Personality Assessment. 105:1-13 |
| ISSN: | 1532-7752 0022-3891 |
| DOI: | 10.1080/00223891.2022.2047060 |
| Popis: | This study builds upon research indicating that focusing narrowly on model fit when evaluating factor analytic models can lead to problematic inferences regarding the nature of item sets, as well as how models should be applied to inform measure development and validation. To advance research in this area, we present concrete examples relevant to researchers in clinical, personality, and related subfields highlighting two specific scenarios when an overreliance on model fit may be problematic. Specifically, we present data analytic examples showing that focusing narrowly on model fit may lead to (a) incorrect conclusions that heterogeneous item sets reflect narrower homogeneous constructs and (b) the retention of potentially problematic items when developing assessment measures. We use both interview data from adult outpatients ( |
| Databáze: | OpenAIRE |
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