LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Categorization and Prediction of Crimes of Passion Based on Attitudes Toward Violence

Photo from wikipedia

The present study explored implicit and explicit attitudes toward violence in crimes of passion. Criminals (n = 96) who had perpetrated crimes of passion and students (n = 100) participated… Click to show full abstract

The present study explored implicit and explicit attitudes toward violence in crimes of passion. Criminals (n = 96) who had perpetrated crimes of passion and students (n = 100) participated in this study. Explicit attitudes toward violence were evaluated using the Abnormal Personality Risk Inventory (APRI), and implicit attitude toward violence was evaluated using the Implicit Association Test (IAT). Results indicated that APRI scores of the perpetrators were significantly higher than that of the control group (p < .05), suggesting that explicit attitudes toward violence could discriminate between the criminals and the control group. There was a significant IAT effect demonstrating a negative implicit attitude toward violence in both the control group and in the criminals (n = 68); whereas there was a significant IAT effect manifesting a positive implicit attitude toward violence in the criminals (n = 16) only. These results suggest that combining explicit and implicit attitudes could provide an empirical classification of crimes of passion.

Keywords: violence; crimes passion; toward violence; explicit attitudes; implicit attitude; attitudes toward

Journal Title: International Journal of Offender Therapy and Comparative Criminology
Year Published: 2017

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.