Psychometric evaluation of the restructured clinical scales of the MMPI-2

Conceptual overlap and heterogeneity have long been noted as weaknesses of the Minnesota Multiphasic Personality Inventory's clinical scales. Restructured clinical (RC) scales recently were developed to address these concerns (A. Tellegen et al., 2003). The authors evaluated the psychometric properties of the RC scales in psychology clinic clients (N=285) and military veterans (N=567). The RC scales were as internally consistent as the clinical scales and correlated strongly with their original counterparts (except for RC3/Hysteria). They also were less intercorrelated, produced conceptually clearer relations with measures of personality and psychopathology, and yielded somewhat greater incremental utility than the clinical scales. Thus, the RC scales demonstrated several psychometric strengths while utilizing 60% fewer items, but the 2 sets of scales cannot be used interchangeably. Interpretive considerations are discussed.     

Accuracy of health-related quality of life assessment: what is the benefit of incorporating patients' preferences for domain functioning?

This study investigated the accuracy benefit of incorporating patients' preferences for domains of functioning into health-related quality of life (HRQOL) measurement. Using policy-capturing techniques, 102 medical outpatients judged the HRQOL of 16 scenarios describing varying levels of functioning in 3 domains. For each participant, regression analysis determined relative domain preferences and 2 decision models were built: one incorporating (preference-weighted) and one ignoring (equally weighted) domain preferences. To assess accuracy, the average proportion of judgment variance accounted for by each model was determined and both accounted for approximately 50%. However, for patients showing the greatest differences in importance across domains, the preference-weighted model was more accurate. Findings are discussed in the context of enhancing HRQOL assessment.     

Confirmatory factor analyses of posttraumatic stress symptoms in deployed and nondeployed veterans of the Gulf War

Confirmatory factor analysis was used to compare 6 models of posttraumatic stress disorder (PTSD) symptoms, ranging from 1 to 4 factors, in a sample of 3,695 deployed Gulf War veterans (N = 1,896) and nondeployed controls (N = 1,799). The 4 correlated factors-intrusions, avoidance, hyperarousal, and dysphoria-provided the best fit. The dysphoria factor combined traditional markers of numbing and hyperarousal. Model superiority was cross-validated in multiple subsamples, including a subset of deployed participants who were exposed to traumatic combat stressors. Moreover, convergent and discriminant validity correlations suggested that intrusions may be relatively specific to PTSD, whereas dysphoria may represent a nonspecific component of many disorders. Results are discussed in the context of hierarchical models of anxiety and depression.     

The Predictors of Suicidality in Previous Suicide Attempters following Case Management Services

Suicide attempts constitute a serious clinical problem. People who have attempted suicide are at an elevated risk for additional suicide attempts, but there is limited evidence regarding the predictors of suicidality of suicide attempters following case management services. In the present study the indicators of suicidality after case management were examined. A total of 1,056 subjects who had recently attempted suicide were recruited from January 1, 2011, to June 30, 2011. The suicide prevention center of Kaohsiung City in Taiwan provided case management services and followed up on suicide attempt cases for 6 months. The salient factors for repeat suicide attempts were estimated using a logistic regression analysis. The results showed that multiple factors, including a “willingness to receive mental health services during a crisis,” “social support,” “a history of mental disorders,” and “a history of suicide,” could predict repeat suicide attempts with hazard ratios (0.58, 0.54, 3.84, 1.51) and 95% confidence interval (0.39–0.86, 0.36–0.83, 2.41–6.10, 1.03–2.21). The four factors mentioned above were the most accurate predictors of subsequent suicidality when case management services were utilized after 6 months of follow‐up. The findings of our study could help clarify future strategies for suicide prevention.