In this research we examined the influence of in-group bias and dating violence history on dating violence attributions. Participants were 113 college students (97 women and 16 men; age M=21.9). They read a vignette that depicted dating violence and then completed a questionnaire concerning the assault. The couple was described as either part of the participants' in-group or the participants' out-group. The dating violence was described as either a first-time event for the couple or a repeated act of violence. Participants formed more lenient attributions for the in-group assailant than for the out-group assailant, but only if he was a first-time assailant rather than a repeat assailant. In addition, participants attributed less blame to the in-group victim than to the out-group victim, but only if she was a repeat victim of dating violence. These findings are examined in relation to in-group bias.
Sex Roles – Springer Journals
Published: Jan 4, 2004
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera