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    Online-Ressource
    Online-Ressource
    Ovid Technologies (Wolters Kluwer Health) ; 2023
    In:  Cognitive and Behavioral Neurology Vol. 36, No. 3 ( 2023-03-27), p. 145-158
    In: Cognitive and Behavioral Neurology, Ovid Technologies (Wolters Kluwer Health), Vol. 36, No. 3 ( 2023-03-27), p. 145-158
    Kurzfassung: Implicit social cognition refers to attitudes and stereotypes that may reside outside conscious awareness and control but that still affect human behavior. In particular, the implicit favoritism of an ingroup, to which an individual belongs, as opposed to an outgroup, to which the individual does not belong, characterized as ingroup bias, is of interest and is investigated here. Method: We used a Go/NoGo association task (GNAT) and behavioral and electroencephalographic (event-related EEG potential [ERP] analysis) measures to investigate the implicit bias toward cities in East Germany, West Germany, and Europe, in 16 individuals each from West and East Germany (mixed gender, M age = 24). The GNAT assesses an individual’s Go and NoGo responses for a given association between a target category and either pole (positive or negative) of an evaluative dimension. Results: Behavioral measures revealed slightly faster reaction times to the combination of European city names and negative, as compared with positive, evaluative words in both groups. ERP analysis showed an increased negativity at 400–800 ms poststimulus in the incongruent conditions of East German city/positive word pairings (in West Germans) and West German city/positive word pairings (in East Germans). Conclusion: An implicitly moderately negative evaluation of Europe by both groups was exhibited based on the behavioral data, and an increased level of conflict arising from the “incongruent” pairings (ie, as manifestation of an implicitly negative attitude toward East Germany in West Germans, and toward West Germany in East Germans) was exhibited based on the electrophysiological data.
    Materialart: Online-Ressource
    ISSN: 1543-3641
    Sprache: Englisch
    Verlag: Ovid Technologies (Wolters Kluwer Health)
    Publikationsdatum: 2023
    ZDB Id: 2063084-0
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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