title: Conditional inference trees: a method for predicting intimate partner violence.
abstract: A number of different methodologies have been employed to investigate the complex relationship between psychological and physical aggression. Herein, a method of unbiased recursive partitioning (conditional inference trees) was applied to a longitudinal sample to identify cutoffs of psychological aggression at baseline that differentiate between individuals who do and do not perpetrate physical aggression at follow-up. The algorithm categorized men into low- and high-risk groups, and women into mild-, moderate-, or high-risk categories of perpetration. Couples responded anonymously to a self-report measure of psychological and physical aggression (CTS2) at baseline and a 12-month follow-up. Sensitivity analyses for predicting physical aggression reached as high as 59% for women and 60% for men.
authors: Stony Brook University.
authors: Katie Lee
authors: KL
authors: Salis
authors: Sören
authors: S
authors: Kliem
authors: K Daniel
authors: KD
authors: O'Leary
mesh_terms: D000328:Adult; D000374:Aggression / Q000523:psychology; D005260:Female; D006801:Humans; D008297:Male; D011581:Psychological Tests; D012680:Sensitivity and Specificity; D012723:Sex; D013179:Spouse Abuse / Q000523:psychology* / Q000706:statistics & numerical data