The True Role That Suppressor Effects Play in Condition-Based Regression Analysis: None. A Reply to Fiedler (2021)
Autor(en): | Humberg, Sarah Dufner, Michael Schoenbrodt, Felix D. Geukes, Katharina Hutteman, Roos van Zalk, Maarten H. W. Denissen, Jaap J. A. Nestler, Steffen Back, Mitja D. |
Stichwörter: | condition-based regression analysis; positivity of self-view; Psychology; Psychology, Social; self-enhancement; suppressor effect | Erscheinungsdatum: | 2022 | Herausgeber: | AMER PSYCHOLOGICAL ASSOC | Journal: | JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY | Volumen: | 123 | Ausgabe: | 4 | Startseite: | 884 | Seitenende: | 888 | Zusammenfassung: | 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. |
ISSN: | 0022-3514 | DOI: | 10.1037/pspp0000428 |
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