Moving Beyond Self‐Report: Implicit Associations about Death/Life Prospectively Predict Suicidal Behavior among Veterans

Reliance on self‐report limits clinicians' ability to accurately predict suicidal behavior. In this study the predictive validity of an objective measure, the death/suicide Implicit Association Test (d/sIAT), was tested among psychiatrically hospitalized veterans. Following acute stabilization, 176 participants completed the d/sIAT and traditional suicide risk assessments. Participants had similar d/sIAT scores regardless of whether they had recently attempted suicide. However, d/sIAT scores significantly predicted suicide attempts during the 6‐month follow‐up above and beyond other known risk factors for suicidal behavior (OR = 1.89; 95% CI: 1.15–3.12; based on 1SD increase). The d/sIAT may augment the accuracy of suicide risk assessment.     

Models of competence in solving physics problems

We describe a set of two computer-implemented models that solve physics problems in ways characteristic of more and less competent human solvers. The main features accounting for different competences are differences in strategy for selecting physics principles, and differences in the degree of automation in the process of applying a single principle. The models provide a good account of the order in which principles are applied by human solvers working problems in kinematics and dynamics. They also are sufficiently flexible to allow easy extension to several related domains of physics problems.     

Critical Reviews of Recent Books

Beck, S. J. Introduction to the Rorschach Method. Res. Monog., Amer. Orthopsychiat. Asso., 1937, No. 1. Reviewed by Charles L. Vaughn.     

Psychological Comparison Processes and Self-Concept in Relation to Five Distinct Frame-of-Reference Effects: Pan-Human Cross-Cultural Generalizability over 68 Countries

The concept of self is central to personhood, but personality research has largely ignored the relevance of recent advances in self-concept theory: multidimensionality of self-concept (focusing instead on self-esteem, an implicit unidimensional approach), domain specificity (generalizability of trait manifestations over different domains), and multilevel perspectives in which social-cognitive processes and contextual effects drive self-perceptions at different levels (individual, group/institution, and country) aligned to Bronfenbrenner's ecological model. Here, we provide theoretical and empirical support for psychological comparison processes that influence self-perceptions and their relation to distal outcomes. Our meta-theoretical integration of social and dimensional comparison theories synthesizes five seemingly paradoxical frame-of-reference and contextual effects in self-concept formation that occur at different levels. The effects were tested with a sample of 485,490 fifteen-year-old students (68 countries/regions, 18,292 schools). Consistent with the dimensional comparison theory, the effects on math self-concept were positive for math achievement but negative for verbal achievement. Consistent with the social comparison theory, the effects on math self-concept were negative for school-average math achievement (big-fish-little-pond effect), country-average achievement (paradoxical cross-cultural effect), and being young relative to year in school but positive for school-average verbal achievement (big-fish-little-pond effect—compensatory effect). We demonstrate cross-cultural generalizability/universality of support for predictions and discuss implications for personality research. © 2020 European Association of Personality Psychology     

Bayesian evaluation of informative hypotheses for multiple populations

The software package Bain can be used for the evaluation of informative hypotheses with respect to the parameters of a wide range of statistical models. For pairs of hypotheses the support in the data is quantified using the approximate adjusted fractional Bayes factor (BF). Currently, the data have to come from one population or have to consist of samples of equal size obtained from multiple populations. If samples of unequal size are obtained from multiple populations, the BF can be shown to be inconsistent. This paper examines how the approach implemented in Bain can be generalized such that multiple-population data can properly be processed. The resulting multiple-population approximate adjusted fractional Bayes factor is implemented in the R package Bain.