Math approach training changes implicit identification with math: A close preregistered replication

Autor: Marine Rougier, Cécile Nurra, Dominique Muller, David Trouilloud, Cédric Batailler
Přispěvatelé: Laboratoire Inter-universitaire de Psychologie : Personnalité, Cognition, Changement Social (LIP-PC2S), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Grenoble Alpes (UGA), Laboratoire de Recherche sur les Apprentissages en Contexte (LaRAC), Université Grenoble Alpes (UGA), Université Catholique de Louvain = Catholic University of Louvain (UCL), Sport et Environnement Social (SENS )
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Experimental Social Psychology
Journal of Experimental Social Psychology, Elsevier, 2021, 92, pp.104059. ⟨10.1016/j.jesp.2020.104059⟩
ISSN: 0022-1031
1096-0465
DOI: 10.1016/j.jesp.2020.104059⟩
Popis: Kawakami et al. (2008) offer an approach training intervention to strengthen women's implicit identification with math. This intervention is especially interesting regarding data suggesting that the low implicit identification with math among women and the gender gap in science reinforce each other (Nosek et al., 2009). Nevertheless, Kawakami et al.'s data only provide quite modest evidential value in favor of the effectiveness of this intervention (notably because of the two critical p values being very close to 0.05 and of the small sample sizes). In the present manuscript, we offer a preregistered replication of Kawakami et al. with a substantially larger sample size and a novel implementation of approach and avoidance (the VAAST; Rougier et al., 2018). In a Pilot Experiment (N = 150), we validate the VAAST-based approach/avoidance training as a way to create identification for novel stimuli (ds = 1.17, p
Databáze: OpenAIRE
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