A Russian version of the Acceptance of Modern Myths about Sexual Aggression Scale: Validation with a female online sample

Khokhlova O, Bohner G (2020)
Psychology in Russia: State of the Art 13(2): 121-139.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Khokhlova, Olga; Bohner, GerdUniBi
Abstract / Bemerkung
Background. Rape myths are usually described as a widely-accepted set of false beliefs and attitudes about victims and perpetrators of sexual assault. These beliefs serve to deny, downplay, or justify sexual violence that men commit against women. The Acceptance of Modern Myths about Sexual Aggression (AMMSA) scale assesses those stereotypical beliefs about sexual aggression in a more subtle way than traditional measurements of rape myths, which often use rather blatant wording. Objective. To develop a Russian version of the sixteen-item AMMSA scale. Design. Our design was non-experimental. Participants were recruited online. In total, data of 270 Russian female participants and 131 German female participants were analyzed using exploratory and confirmatory factor analysis. Convergent and discriminant validity were assessed using correlational analyses with other constructs that are believed to be related to AMMSA to different degrees (hostile sexism, benevolent sexism, traditional gender role preferences, and impression management). Results. It was found that the Russian AMMSA, just like the German AMMSA, was unidimensional, normally distributed, had high internal consistency, and showed good construct validity. Conclusion. The validation of a Russian version of the AMMSA forms an important first step for studying beliefs about sexual aggression in Russian society. The Russian AMMSA scale is a valid and reliable instrument for measuring modern myths about sexual aggression. Future studies are needed to test whether there are gender differences in the Russian population.
Stichworte
AMMSA; rape myths; rape myth acceptance; scale construction; sexism; violence against women
Erscheinungsjahr
2020
Zeitschriftentitel
Psychology in Russia: State of the Art
Band
13
Ausgabe
2
Seite(n)
121-139
ISSN
2074-6857
eISSN
2307-2202
Page URI
https://pub.uni-bielefeld.de/record/2945848

Zitieren

Khokhlova O, Bohner G. A Russian version of the Acceptance of Modern Myths about Sexual Aggression Scale: Validation with a female online sample. Psychology in Russia: State of the Art. 2020;13(2):121-139.
Khokhlova, O., & Bohner, G. (2020). A Russian version of the Acceptance of Modern Myths about Sexual Aggression Scale: Validation with a female online sample. Psychology in Russia: State of the Art, 13(2), 121-139. https://doi.org/10.11621/pir.2020.0209
Khokhlova, Olga, and Bohner, Gerd. 2020. “A Russian version of the Acceptance of Modern Myths about Sexual Aggression Scale: Validation with a female online sample”. Psychology in Russia: State of the Art 13 (2): 121-139.
Khokhlova, O., and Bohner, G. (2020). A Russian version of the Acceptance of Modern Myths about Sexual Aggression Scale: Validation with a female online sample. Psychology in Russia: State of the Art 13, 121-139.
Khokhlova, O., & Bohner, G., 2020. A Russian version of the Acceptance of Modern Myths about Sexual Aggression Scale: Validation with a female online sample. Psychology in Russia: State of the Art, 13(2), p 121-139.
O. Khokhlova and G. Bohner, “A Russian version of the Acceptance of Modern Myths about Sexual Aggression Scale: Validation with a female online sample”, Psychology in Russia: State of the Art, vol. 13, 2020, pp. 121-139.
Khokhlova, O., Bohner, G.: A Russian version of the Acceptance of Modern Myths about Sexual Aggression Scale: Validation with a female online sample. Psychology in Russia: State of the Art. 13, 121-139 (2020).
Khokhlova, Olga, and Bohner, Gerd. “A Russian version of the Acceptance of Modern Myths about Sexual Aggression Scale: Validation with a female online sample”. Psychology in Russia: State of the Art 13.2 (2020): 121-139.
Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Suchen in

Google Scholar