Assessment of accurate self-knowledge

Despite ongoing theoretical interest in the accuracy of self-knowledge and its implications for mental health, few researchers have yet to tackle this topic directly. This may be due, in part, to several factors that make assessing individual differences in accurate self-knowledge especially difficult. In this article, we present a method for the assessment of accurate self-knowledge that relies on information gathered from the self, knowledgeable others, and observations of behavior in the laboratory, and we provide psychometric support for this newly developed assessment procedure. Specifically, we present evidence for internal consistency reliability, convergent and discriminant validity, and criterion-related validity. Other researchers interested in studying the accuracy of self-knowledge might wish to adopt this procedure in their own research endeavors.     

Targeting Self-Stigma in Returning Military Personnel and Veterans: A Review of Intervention Strategies

Research suggests that mental health-related stigma significantly decreases the use of mental health services by military personnel and veterans. The goal of this article is to review what is known about mental health stigma as it relates to military personnel and veterans, as well as to offer an interpretive review of self-stigma intervention strategies that have been applied within the field. Target areas for future work and the concerns and challenges faced by interventionists are discussed.     

Assessing Old Order Amish outpatients with the MCMI-III

In this study, we examined Millon Clinical Multiaxial Inventory-III (MCMI-III; Millon, 2009) characteristics in an Old Order Amish outpatient sample (n = 166), with a comparison group of Old Order Amish who were not receiving mental health treatment at the time of testing (n = 80). We also graphically compared the 2 Amish groups to a non-Amish psychiatric sample in the literature. Consistent with our hypotheses, the Old Order Amish outpatients scored significantly higher than the Old Order Amish comparison group on the majority of MCMI-III scales, with mostly medium effect sizes, suggesting that the MCMI-III is a useful personality instrument in discriminating between Old Order Amish clinical and nonclinical groups. In addition, the Amish outpatients scored similar to a non-Amish psychiatric sample in the literature on most personality scales. Future MCMI-III studies with the Amish are needed to replicate and generalize our findings.     

Exploring the robustness of cross-situational learning under Zipfian distributions

Cross-situational learning has recently gained attention as a plausible candidate for the mechanism that underlies the learning of word-meaning mappings. In a recent study, Blythe and colleagues have studied how many trials are theoretically required to learn a human-sized lexicon using cross-situational learning. They show that the level of referential uncertainty exposed to learners could be relatively large. However, one of the assumptions they made in designing their mathematical model is questionable. Although they rightfully assumed that words are distributed according to Zipf's law, they applied a uniform distribution of meanings. In this article, Zipf's law is also applied to the distribution of meanings, and it is shown that under this condition, cross-situational learning can only be plausible when referential uncertainty is sufficiently small. It is concluded that cross-situational learning is a plausible learning mechanism but needs to be guided by heuristics that aid word learners with reducing referential uncertainty.