I METADATI DI QUESTO DOI SONO STATI AGGIORNATI IL: 2017-06-20 10:07
Titolo completo (Inglese)
ECPS - Educational, Cultural and Psychological Studies
Editore
LED Edizioni Universitarie
Proprietary, a publisher’s product number
3 (Rivista Online)
ISSN
20377924 (Rivista Online)
20377932 (Rivista Stampata)
Numero del volume
1
Numero del fascicolo
15
Designazione del fascicolo
No 15 (2017)
Data del fascicolo
2017
Titolo completo (Inglese)
When the Black Sheep Is Not So «Black»: Social Comparison as a Standard for Ingroup Evaluation in Classrooms
Di (autore)
Affiliazione
Université de Lausanne, Institut de Psychologie
Affiliazione
University of Rome “Sapienza”
Affiliazione
University of Milan “Vita-Salute San Raffaele”
Affiliazione
University of Rome “Sapienza”
Numero di Pagine
20
Lingua del testo
Inglese
Data di publicazione
2017/06/19
Descrizione principale (Inglese)
Previous research (Marques & Levine, 2016) suggests that the black sheep effect refers to the tendency of people to evaluate ingroup deviants members more negatively than outgroup deviants members. School students (N = 60) evaluated negative and positive performances attributed respectively to ingroup and outgroup members (unfavorable comparison) and negative performances attributed to both ingroup and outgroup members (neutral comparison). Results show that negative performances from ingroup members are less devaluated in the unfavorable comparisons condition than in the neutral comparisons condition and this effect is moderated by identification with their own school. Moreover, results show that in the unfavorable comparison condition students perceived a greater threat to their social identity than in the neutral comparison condition. The implications of these results are discussed in relation to the black sheep categorization and ingroup bias in a school context.
Codice di classificazione definito dall'editore
Black sheep effect; Ingroup bias; Multiple perspectives; Social comparison; Social identity; Confronto sociale; Identità sociale; Prospettive multiple