A robust classic

• Verfasst von: Kutzner, Florian [VerfasserIn]
• Verfasst von: Vogel, Tobias [VerfasserIn]
• Verfasst von: Freytag, Peter [VerfasserIn]
• Verfasst von: Fiedler, Klaus [VerfasserIn]
• Titel: A robust classic
• Titelzusatz: illusory correlations are maintained under extended operant learning
• Verf.angabe: Florian Kutzner, Tobias Vogel, Peter Freytag, and Klaus Fiedler
• E-Jahr: 2011
• Jahr: January 01, 2011
• Umfang: 11 S.
• Fussnoten: Gesehen am 12.07.2022
• Titel Quelle: Enthalten in: Experimental psychology
• Ort Quelle: Göttingen : Hogrefe & Huber, 1999
• Jahr Quelle: 2011
• Band/Heft Quelle: 58(2011), 6, Seite 443-453
• ISSN Quelle: 2190-5142
• DOI: doi:10.1027/1618-3169/a000112
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe: A robust classic. - 2011
• Sach-SW: matching to sample
• Sach-SW: skewed base rates
• K10plus-PPN: 1809943094

Abstract

In the present research, we argue for the robustness of illusory correlations (ICs, Hamilton & Gifford, 1976) regarding two boundary conditions suggested in previous research. First, we argue that ICs are maintained under extended experience. Using simulations, we derive conflicting predictions. Whereas noise-based accounts predict ICs to be maintained (Fielder, 2000; Smith, 1991), a prominent account based on discrepancy-reducing feedback learning predicts ICs to disappear (Van Rooy et al., 2003). An experiment involving 320 observations with majority and minority members supports the claim that ICs are maintained. Second, we show that actively using the stereotype to make predictions that are met with reward and punishment does not eliminate the bias. In addition, participants’ operant reactions afford a novel online measure of ICs. In sum, our findings highlight the robustness of ICs that can be explained as a result of unbiased but noisy learning.