Predicting patrol officer performance from a psychological assessment battery: A predictive validity study

The psychological assessment battery is an integral part of the selection process used to select patrol officer applicants. Unlike all other procedures used in the selection process, the psychological assessment has not been adequately validated. The purpose of this study was an attempt to provide validation data for a psychological assessment battery. The battery consisted of the Nelson-Denny, Shipley-Hartford, MMPI, and the Motivational Analysis Test (MAT). Performance measures included various measures of training academy performance and field training performance. A stepwise regression and MANOVA/Discriminant Analysis indicated that the psychological tests did predict performance, although an exact predictive equation could not be developed due to the high intercorrelations between predictor variables. This research was sponsored in part by a grant from the School of Applied Arts and Technology, Southwest Texas State University.     

Inmates: Who occupies our jails?

The purpose of this investigation was to identify inmate personal and demographic data that may be used to further define or profile persons with a greater likelihood of being at risk for serving a jail sentence. This study was explorative. The survey administration was similar in format to that conducted by the U.S. Department of Justice. Chaplains were used as survey proctors. Pilot studies were conducted to determine the suitability of survey content. Surveys consisted of 172 items. Subjects included four hundred inmates: males comprised 88.75 percent of the sample, Caucasians 58.25 percent, Blacks 37 percent, Hispanics 3.25 percent and other 1.5 percent of the sample. Respondents ranged in age from 15 to 64 years with an average age of 30.3 years. Less than two percent of the contacted inmates refused participation in the survey. Results are presented for demographic data, select legal/criminal data, select drug and alcohol use data, employment data, health, parent/family data, education data, social data, and “other”.