Abstract
Condition-based regression analysis (CRA) is a statistical method for testing self-enhancement effects. That is, CRA indicates whether, in a set of empirical data, people with higher values on the directed discrepancy self-view S minus reality criterion R (i.e., S-R) tend to have higher values on some outcome variable (e.g., happiness). In a critical comment, Fiedler (2021) claims that CRA yields inaccurate conclusions in data with a suppressor effect. Here, we show that Fiedler's critique is unwarranted. All data that are simulated in his comment show a positive association between S-R and H, which is accurately detected by CRA. By construction, CRA indicates an association between S-R and H only when it is present in the data. In contrast to Fiedler's claim, it also yields valid conclusions when the outcome variable is related only to the self-view or when there is a suppressor effect. Our clarifications provide guidance for evaluating Fiedler's comment, clear up with the common heuristic that suppressor effects are always problematic, and assist readers in fully understanding CRA.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Psychologie und Pädagogik > Department Psychologie |
Themengebiete: | 100 Philosophie und Psychologie > 150 Psychologie |
ISSN: | 0022-3514 |
Sprache: | Englisch |
Dokumenten ID: | 110368 |
Datum der Veröffentlichung auf Open Access LMU: | 02. Apr. 2024, 07:17 |
Letzte Änderungen: | 02. Apr. 2024, 07:17 |