Race bias and gender bias in the diagnosis of psychological disorders.

Bias is said to occur when validity is better for one group than another (e.g., when diagnoses are more valid for male or female clients).

Sleep difficulties as a predictor of attrition in United States Air Force recruits.

Study Objectives: The objective of the study was to estimate the rates of "difficulty sleeping at night" in newly enlisted United States Air Force (USAF) recruits and determine if these sleep difficulties predicted 1-year attrition (discharge for any reason) independently and after controlling for all other Lackland Behavioral Questionnaire (LBQ) predictors.

Methods: The LBQ was administered to 202,339 active duty, enlisted USAF trainees completing basic military training at Joint Base San Antonio-Lackland, Texas, from January 2006 to December 2012. Attrition data were obtained through the Defense Manpower Data Center.

Methodological advances in statistical prediction.

Thirty years ago, Dawes, Faust, and Meehl (1989) argued that mental health professionals should routinely use statistical prediction rules to describe and diagnose clients, predict behaviors, and formulate treatment plans. Subsequent research has supported their claim that statistical prediction performs well when compared to clinical judgment. However, many of the things we thought we knew about statistical prediction have changed.

The Lackland Behavioral Questionnaire: The use of biographical data and statistical prediction rules for public safety screening.

Screening for public safety positions (e.g., police officers, fire fighters, military service members) is a difficult and challenging task.

Resilience in the United States Air Force: Psychometric properties of the Connor-Davidson Resilience Scale (CD-RISC).

Results are presented for the largest study (N = 53,692) ever conducted on the 25-item Connor-Davidson Resilience Scale (CD-RISC), a popular measure of resilience. We examined the internal consistency of the CD-RISC items and associated mean resilience levels within a sample of enlisted basic trainees in the United States Air Force. In addition, the predictive validity of the CD-RISC Total Score was examined for real-life military outcomes, including attrition from service and mental health diagnosis.