The personality disorders: A review and critique of contemporary assessment strategies

Emotional functioning of individuals with borderline personality traits in a nonclinical population

Relatively few studies have evaluated the emotional functioning of individuals with borderline personality disorder traits, especially in nonclinical populations. This study therefore sought to understand further the emotional skills and subjective emotional experiences of adults with borderline traits in a community sample. Adult volunteers (N=523) were recruited from community and student populations, and borderline personality was determined via three self-report measures. Close to one in six respondents (17.2%) self-reported borderline personality traits above the threshold on the three instruments. Poor skills in managing and understanding emotion were characteristic of these individuals. They also possessed significantly poorer subjective perception of emotion, management of their own emotions and management of others' emotions, relative to the non-borderline personality controls. Skills in managing and understanding emotion and the subjective experience of managing one's own emotions were significant multivariate predictors of borderline personality trait status. We conclude that persons with borderline personality traits have pronounced deficits in emotional understanding and management. Interventions targeting these deficits are needed, given the high prevalence of borderline traits in the community.

Empirical evaluation of the MCMI-III personality disorder scales

The MCMI-III personality disorder scales were empirically validated with a sample of 870 clinical patients and inmates. Prevalence rates of personality disorders were in general lower on the MCMI-III than clinical ratings, but trait prevalence was generally higher; thus a base rate of 75 on the MCMI-III could be a guideline in the screening of trait prevalence. However, the sensitivity of some MCMI-III scales was very low. Moreover, the correlations of most personality disorder scales of the MCMI-III were significant and positive with corresponding measures on clinical ratings and MMPI-2 personality disorder scales, but these were, in general, not significantly higher than some other correlations. As a consequence the discriminant validity seems to be questionable. The MCMI-III alone cannot be used as a diagnostic inventory, but the test could be useful as a screening device as a part of a multimethod approach that allows aggregation over measures in making diagnostic decisions.

Intuitive theories of information: beliefs about the value of redundancy

In many situations, quantity estimates from multiple experts or diagnostic instruments must be collected and combined. Normatively, and all else equal, one should value information sources that are nonredundant, in the sense that correlation in forecast errors should be minimized. Past research on the preference for redundancy has been inconclusive. While some studies have suggested that people correctly place higher value on uncorrelated inputs when collecting estimates, others have shown that people either ignore correlation or, in some cases, even prefer it. The present experiments show that the preference for redundancy depends on one's intuitive theory of information. The most common intuitive theory identified is the Error Tradeoff Model (ETM), which explicitly distinguishes between measurement error and bias. According to ETM, measurement error can only be averaged out by consulting the same source multiple times (normatively false), and bias can only be averaged out by consulting different sources (normatively true). As a result, ETM leads people to prefer redundant estimates when the ratio of measurement error to bias is relatively high. Other participants favored different theories. Some adopted the normative model, while others were reluctant to mathematically average estimates from different sources in any circumstance. In a post hoc analysis, science majors were more likely than others to subscribe to the normative model. While tentative, this result lends insight into how intuitive theories might develop and also has potential ramifications for how statistical concepts such as correlation might best be learned and internalized.