Visuospatial Short-Term Memory Explains Deficits in Tower Task Planning in High-Functioning Children with Autism Spectrum Disorder

Previous findings on planning abilities in individuals with high-functioning autism spectrum disorder (HFA) are inconsistent. Exploring possible reasons for these mixed findings, the current study investigated the involvement of memory in planning performance in 15 children with HFA and 17 typically developing controls. In addition to planning abilities (measured with the Tower of London), short-term memory and delayed recall for verbal as well as visuospatial material were assessed. Findings suggest that particularly reduced efficiency in visuospatial short-term memory is associated with Tower task planning deficits in children with HFA.     

Moderating effects of attributions on the relationship between emotional dissonance and surface acting: a transactional approach to health care professionals' emotion work

Based on a transactional model of stress, this study aims to understand the role played by attributions in selecting surface acting as emotion regulation strategy when coping with emotion‐rule dissonance. A sample of primary health care professionals (n = 87) based in Madrid filled in a questionnaire. Hierarchical multiple regression analyses were conducted to test hypotheses on the moderating effects of attributions on the relationship between emotion‐rule dissonance and surface acting. Results showed that high levels of attribution to patients of responsibility for negative events, low levels of professionals' self‐accountability, and low attribution of being able to promote a positive change strengthen the positive association between emotion‐rule dissonance and surface acting. This could explain why professionals use a potentially damaging emotion regulation strategy.     

Goal engagement in coping with occupational uncertainty predicts favorable career-related outcomes

We investigated whether goal engagement and disengagement in coping with occupational uncertainty (e.g., perceptions of growing difficulties in career planning and lacking job opportunities) predicts three objective career-related outcomes: job loss, job finding, and income change. We also tested for the buffering effects of these coping strategies on the association between objectively unfavorable labor market conditions (as indicated by regional unemployment rates) and these outcomes. We used four-wave survey data from a longitudinal sample of 620 German adults aged 16–43 years at the first wave and analyzed changes in the three career-related outcomes across 1294 pairs of successive annual waves. Analyses revealed that goal engagement predicted a higher chance of job finding over one year. Moreover, goal engagement buffered the association between higher regional unemployment rates and a higher likelihood of job loss, as well as a lower income, over one year. Goal disengagement predicted a lower income but had no other statistically significant effects. Thus, even in a relatively highly regulated labor market like the German one, goal engagement in coping with occupational uncertainty can contribute to objective career success.     

Getting going and letting go: Religiosity fosters opportunity‐congruent coping with work‐related uncertainties

This study investigated how religiosity relates to goal engagement (i.e., investing time and effort; overcoming obstacles) and goal disengagement (i.e., protecting self‐esteem and motivational resources against failure experiences; distancing from unattainable goals) in coping with perceived work‐related uncertainties (e.g., growing risk of job loss) that arise from current social change. We hypothesised that religiosity not only expands individuals' capacities for both engagement and disengagement but also fosters an opportunity‐congruent pattern of engagement and disengagement, promoting engagement especially under favourable opportunities for goal‐striving in the social ecology and facilitating disengagement especially under unfavourable opportunities. Multilevel analyses in a sample of N = 2089 Polish adults aged 20–46 years partly supported these predictions. Religiosity was associated with higher goal engagement, especially under favourable economic opportunities for goal‐striving in the social ecology (as measured by the regional net migration rate). For disengagement, the results were more mixed; religiosity was related to higher self‐protection independently of the economic opportunity structure and predicted higher goal‐distancing only under the most unfavourable opportunities. These results suggest that religiosity can promote different coping strategies under different conditions, fostering a pattern of opportunity‐congruent engagement and, to some extent, disengagement that is likely to be adaptive.     

Individual Differences in the Context‐Dependent Recruitment of Cognitive Control: Evidence From Action Versus State Orientation

The ability to flexibly adapt to deviations from optimal performance is an important aspect of self‐control. In the present study, the authors present first evidence that the personality trait action versus state orientation (Kuhl, 2000) modulates the ability of adaptive control adjustments in response to experienced conflicts. Sixty‐two German individuals with extreme scores on the action‐state dimension performed a response interference task, that is, 31 extreme action‐oriented individuals (30 females; M_age = 20.35 years) and 31 extreme state‐oriented individuals (20 females; M_age = 23.23 years), respectively. Action‐oriented individuals displayed a stronger conflict adaptation effect as evidenced by a stronger reduction of interference on trials following conflict. These results were further corroborated by a correlational analysis including a sample of 105 participants: the higher the score on the action‐state dimension, the lower the interference effect following conflict (i.e., stronger conflict adaptation). The results provide evidence that even low‐level, bottom‐up‐driven processes of self‐control such as conflict adaptation are systematically moderated by individual differences in control modes and provide insights into the cognitive mechanisms underlying action versus state orientation.     

Affective Constellations for Countertransference Awareness Following a Client's Suicide Attempt

Effective counseling with suicidal clients requires the development and maintenance of a strong therapeutic alliance. However, unmanaged countertransference (CT) can inhibit the alliance. This article provides strategies for enhancing CT awareness in counselors to support alliance building with clients after a client suicide attempt. The authors define CT in the context of suicide, introduce affective constellations as a method for CT awareness, and apply the method to a case vignette. A figure for self‐reflection and supervision is provided.     

Visual selective attention is equally functional for individuals with low and high working memory capacity: Evidence from accuracy and eye movements

Selective attention and working memory capacity (WMC) are related constructs, but debate about the manner in which they are related remains active. One elegant explanation of variance in WMC is that the efficiency of filtering irrelevant information is the crucial determining factor, rather than differences in capacity per se. We examined this hypothesis by relating WMC (as measured by complex span tasks) to accuracy and eye movements during visual change detection tasks with different degrees of attentional filtering and allocation requirements. Our results did not indicate strong filtering differences between high- and low-WMC groups, and where differences were observed, they were counter to those predicted by the strongest attentional filtering hypothesis. Bayes factors indicated evidence favoring positive or null relationships between WMC and correct responses to unemphasized information, as well as between WMC and the time spent looking at unemphasized information. These findings are consistent with the hypothesis that individual differences in storage capacity, not only filtering efficiency, underlie individual differences in working memory.     

Categories in the pigeon brain: A reverse engineering approach

Pigeons are well known for their visual capabilities as well as their ability to categorize visual stimuli at both the basic and superordinate level. We adopt a reverse engineering approach to study categorization learning: Instead of training pigeons on predefined categories, we simply present stimuli and analyze neural output in search of categorical clustering on a solely neural level. We presented artificial stimuli, pictorial and grating stimuli, to pigeons without the need of any differential behavioral responding while recording from the nidopallium frontolaterale (NFL), a higher visual area in the avian brain. The pictorial stimuli differed in color and shape; the gratings differed in spatial frequency and amplitude. We computed representational dissimilarity matrices to reveal categorical clustering based on both neural data and pecking behavior. Based on neural output of the NFL, pictorial and grating stimuli were differentially represented in the brain. Pecking behavior showed a similar pattern, but to a lesser extent. A further subclustering within pictorial stimuli according to color and shape, and within gratings according to frequency and amplitude, was not present. Our study gives proof‐of‐concept that this reverse engineering approach—namely reading out categorical information from neural data—can be quite helpful in understanding the neural underpinnings of categorization learning.     

Masking misfit in confirmatory factor analysis by increasing unique variances: a cautionary note on the usefulness of cutoff values of fit indices

Fit indices are widely used in order to test the model fit for structural equation models. In a highly influential study, Hu and Bentler (1999) showed that certain cutoff values for these indices could be derived, which, over time, has led to the reification of these suggested thresholds as "golden rules" for establishing the fit or other aspects of structural equation models. The current study shows how differences in unique variances influence the value of the global chi-square model test and the most commonly used fit indices: Root-mean-square error of approximation, standardized root-mean-square residual, and the comparative fit index. Using data simulation, the authors illustrate how the value of the chi-square test, the root-mean-square error of approximation, and the standardized root-mean-square residual are decreased when unique variances are increased although model misspecification is present. For a broader understanding of the phenomenon, the authors used different sample sizes, number of observed variables per factor, and types of misspecification. A theoretical explanation is provided, and implications for the application of structural equation modeling are discussed.