Profiles of Resilience and Psychosocial Outcomes among Young Black Gay and Bisexual Men

Young Black gay/bisexual men (YBGBM) are affected by contextual stressors—namely syndemic conditions and minority stress—that threaten their health and well‐being. Resilience is a process through which YBGBM achieve positive psychosocial outcomes in the face of adverse conditions. Self‐efficacy, hardiness and adaptive coping, and social support may be important resilience factors for YBGBM. This study explores different profiles of these resilience factors in 228 YBGBM in New York City and compares profiles on psychological distress, mental health, and other psychosocial factors. Four profiles of resilience were identified: (a) Low self‐efficacy and hardiness/adaptive coping (23.5%); (b) Low peer and parental support (21.2%); (c) High peer support, low father support (34.5%); and (d) High father and mother support, self‐efficacy, and hardiness/adaptive coping (20.8%). YBGBM in profile 1 scored markedly higher on distress (d = .74) and lower on mental health functioning (d = .93) compared to men in the other profiles. Results suggest that self‐efficacy and hardiness/adaptive coping may play a more important role in protecting YBGBM from risks compared to social support and should be targeted in interventions. The findings show that resilience is a multidimensional construct and support the notion that there are different patterns of resilience among YBGBM.     

Verbalization of Decision Strategies in Multiple‐Cue Probabilistic Inference

In multiple‐cue probabilistic inference, people choose between alternatives based on several cues, each of which is differentially associated with an alternative's overall value. Various strategies have been proposed for probabilistic inference (e.g., weighted additive, tally, and take‐the‐best). These strategies differ in how many cue values they require to enact and in how they weight each cue. Do decision makers actually use any of these strategies? Ways to investigate this question include analyzing people's choices and the cues that they reveal. However, different strategies often predict the same decisions, and search behavior says nothing about whether or how people use the information that they acquire. In this research, we attempt to elucidate which strategies participants use in a multiple‐cue probabilistic inference task by examining verbal protocols, a high‐density source of process data. The promise of verbal data is in their utility for testing detailed information processing models. To that end, we apply protocol analysis in conjunction with computational simulations. We find converging evidence across outcome measures, search measures, and verbal reports that most participants use simplifying heuristics, namely take‐the‐best. Copyright © 2015 John Wiley & Sons, Ltd.     

A Decision‐Making Model for Addressing Problematic Behaviors in Counseling Students

Gatekeeping is the subject of continued discourse in the counseling profession. With revisions to the ACA Code of Ethics (American Counseling Association, 2014 ), recent litigation (Keeton v. Anderson‐Wiley, 2010 ; Ward v. Wilbanks, 2009 ), and focused attention on value conflicts in counseling (Francis & Dugger, 2014 ), counselor educators' role as gatekeepers is expanding. In addition to this expanding role, counselor educators are responsible for being culturally and developmentally sensitive in interpreting, applying, and enforcing the codes and standards with counseling students. This article proposes a decision‐making model that integrates feminist, multicultural, systems theory, and social‐constructivist ethical decision‐making principles to address problematic behaviors in counseling students.     

Effects of priming self‐construals on self‐evaluations: Cultural game player perspective

This study examined the validity of situational view on culture‐specific behaviours focusing on self‐evaluation. Two experiments with American students as samples were conducted to examine whether priming their self‐construals would affect individuals' self‐evaluation. In Experiment 1, the participants' self‐evaluation was compared across different conditions of primed self‐contruals. In Experiment 2, the participants were split into 2 groups based on their initial default self‐consturals and, the self‐evaluations were compared across the 2 groups after priming self‐contruals. The results demonstrated that although the participants' self‐evaluation was initially in accord with their default self‐construal, it changed into accord with the primed self‐construals. The findings supported the proposed cultural game player view. Implications on situational view of self‐evaluation are also discussed.     

Living in a Non‐Communist Versus in a Post‐Communist European Country Moderates the Relation Between Conservative Values and Political Orientation: A Multilevel Study

We performed a multilevel, multinational analysis using the 2012 European Social Survey dataset (N = 41 080, nested in 20 countries) to study how living in a non‐communist versus in a post‐communist country moderates the link between individual conservative values (drawn on Schwartz's theory of basic human values) and political orientation (assessed as self‐placement on the left–right axis and attitude towards economic redistribution). The results supported the moderating role of living in a non‐communist versus in a post‐communist country in the case both of political self‐placement and of attitude towards economic redistribution, even controlling for the countries' degree of individualism, power distance and democracy. Specifically, conservative values were positively related to a rightist political self‐placement among participants living in countries without a communist past, and to a favourable attitude towards economic redistribution in countries with a communist past. The limitations, implications and future directions of this study are discussed. Copyright © 2016 European Association of Personality Psychology     

Still Doing Fine? The Interplay of Negative Life Events and Self‐Esteem During Young Adulthood

This longitudinal study investigated the bidirectional relationship between negative life events and self‐esteem during the transition from adolescence to young adulthood (N = 2272). Drawing on theories of human development over the lifespan and just‐world theory, we analyzed age‐graded changes in self‐esteem and their interplay with negative life events at three measurement points over a 12‐year period. We addressed both the short‐term and the longer term effects of single as well as multiple negative life events on changes in self‐esteem (socialization effects). We further investigated whether the pre‐event level of self‐esteem affected the likelihood of negative life events occurring (selection effects) and, finally, whether it had protective effects in terms of helping people adjust to negative events. Latent change models yielded four main findings: (i) self‐esteem increased during young adulthood; (ii) socialization effects were observed over shorter and longer timespans, but (iii) selection effects were only found for multiple negative life events, with low self‐esteem predicting a high number of negative life events; (iv) high pre‐event self‐esteem acted as a protective factor, attenuating declines in self‐esteem after experience of multiple negative life events. Copyright © 2016 European Association of Personality Psychology     

Predicting Self‐Confident Behaviour with Implicit and Explicit Self‐Esteem Measures

The present research compared the validity of popular direct and indirect measures of self‐esteem in predicting self‐confident behaviour in different social situations. In line with behavioural dual‐process models, both implicit and explicit self‐esteem were hypothesized to be related to appearing self‐confident to unacquainted others. A total of 127 participants responded to the Rosenberg Self‐Esteem Scale, the Multidimensional Self‐Esteem Scale, and an adjective scale for measuring explicit self‐esteem (ESE). Participants' implicit self‐esteem (ISE) was assessed with four indirect measures: the Implicit Association Test (IAT), the name‐letter task (NLT), and two variants of an affective priming task, the reaction‐time affective priming task (RT‐APT) and the error‐based affective priming task (EB‐APT). Self‐confident behaviour was observed in four different social situations: (i) self‐introduction to a group; (ii) an ostracism experience; (iii) an interview about the ostracism experience; and (iv) an interview about one's personal life. In general, appearing self‐confident to unknown others was independently predicted by ESE and ISE. The indirect measures of self‐esteem were, as expected, not correlated, and only the self‐esteem APTs—but not the self‐esteem IAT or the NLT—predicted self‐confident behaviours. It is important to note that in particular the predictive power of the self‐esteem EB‐APT pertained to all four criteria and was incremental to the ESE measures. Copyright © 2016 European Association of Personality Psychology     

Working in the borderland: early relational trauma and Fordham's analysis of ‘K’

This paper outlines a view of early relational trauma as underlying borderline states of mind, and argues that Knox's 1999 paper on internal working models and the complex provides a basis for understanding such states of mind. The author argues that in addition to internal working models, the complex also embodies and contains primitive defences of the core self. He outlines how these apply on the objective, subjective, transference and archetypal levels, and in direct and reversed forms and applies this to the account of Fordham's analysis of his patient ‘K’, which ended in impasse. The paper explores the dynamic that emerged in that analysis and suggests that it could be helpfully accounted for in terms of the co‐construction and re‐construction of early relational trauma in the analytic relationship.     

Multi‐set factor analysis by means of Parafac2

We consider multi‐set data consisting of observations, k = 1,…, K (e.g., subject scores), on J variables in K different samples. We introduce a factor model for the J × J covariance matrices , k = 1,…, K, where the common part is modelled by Parafac2 and the unique variances , k = 1,…, K, are diagonal. The Parafac2 model implies a common loadings matrix that is rescaled for each k, and a common factor correlation matrix. We estimate the unique variances by minimum rank factor analysis on for each k. The factors can be chosen orthogonal or oblique. We present a novel algorithm to estimate the Parafac2 part and demonstrate its performance in a simulation study. Also, we fit our model to a data set in the literature. Our model is easy to estimate and interpret. The unique variances, the factor correlation matrix and the communalities are guaranteed to be proper, and a percentage of explained common variance can be computed for each k. Also, the Parafac2 part is rotationally unique under mild conditions.