Predictors of Underreporting of Male Violence by Batterer Program Participants and Their Partners

Self-reports on domestic violence inventories remain the basis of court and clinical decision-making and program outcome evaluations, but previous research questions their reliability and validity. Accurate prediction of underreporting would help practitioners and researchers adjust batterer and victim self-reports. We develop prediction equations of underreporting on the Conflict Tactics Scale, using a multi-site database of men admitted to batterer programs and their female partners (n = 840). First we use variables measured at program intake to predict female and male underreporting of male violence at program intake. Second, we use variables measured at program intake, as well as measures of program participation, to predict male-female disagreement (male underreporting) at 12-month follow-up. Several variables were predictive of underreporting, both at intake and follow-up, but overall prediction was marginally better than chance. The findings suggest that men and women underreport based on situational factors (such as relationship characteristics) and rational reasons, rather than based on personality traits or social desirability. However, the ability to predict underreporting is too weak for adjustment of self-reports by clinicians and program evaluators.     

A latent structure analysis of delinquency

This paper uses latent structure analysis to develop a construct of delinquency based on a set of frequently used indicators of illegal behavior. Other methods, such as Guttman scaling and factor analytic procedures, are briefly reviewed as similar attempts to identify manifest (observed) variables that may act as indicators of a latent (unobserved or unobservable) variable, delinquency. The basic mathematical properties of the latent structure model employed in this paper are presented and then applied to a set of six self-report measures. The issue of external validity is also examined in a comparative analysis of an additive scale of delinquency and the latent class measure of delinquency. The latent class measure provides a considerable increase in the magnitude of association with such commonly studied correlates as attachment, peer delinquency, and instrumental attitudes toward the law.     

Comparing Self-Reports and Official Records of Arrests

We compared measures of self-reported arrests and official arrests for 676young adults with a history of child abuse and/or neglect and 520 nonabusedand nonneglected controls matched on age, sex, race, and approximate familysocial class. Findings reveal considerable concurrent validity between thetwo sources overall. But there is also evidence of differences by gender,race/ethnicity, age at time of arrest, conviction status, and type ofoffense. Abused and neglected subjects did not appear to differ from thecontrol group in the extent of underreporting of known offenses, however,the groups did differ in the degree of positive bias—offensesnot found in arrest records. Abused/neglected subjects self-reportedproportionately more offenses not known to police compared to controls. Thisresult suggests that findings from previous studies on the relationshipbetween childhood victimization and later criminality, as measured byarrests, may have underestimated the magnitude of this relationship.