Measuring consciousness in dreams: The lucidity and consciousness in dreams scale

In this article, we present results from an interdisciplinary research project aimed at assessing consciousness in dreams. For this purpose, we compared lucid dreams with normal non-lucid dreams from REM sleep. Both lucid and non-lucid dreams are an important contrast condition for theories of waking consciousness, giving valuable insights into the structure of conscious experience and its neural correlates during sleep. However, the precise differences between lucid and non-lucid dreams remain poorly understood. The construction of the Lucidity and Consciousness in Dreams scale (LuCiD) was based on theoretical considerations and empirical observations. Exploratory factor analysis of the data from the first survey identified eight factors that were validated in a second survey using confirmatory factor analysis: INSIGHT, CONTROL, THOUGHT, REALISM, MEMORY, DISSOCIATION, NEGATIVE EMOTION, and POSITIVE EMOTION. While all factors are involved in dream consciousness, realism and negative emotion do not differentiate between lucid and non-lucid dreams, suggesting that lucid insight is separable from both bizarreness in dreams and a change in the subjectively experienced realism of the dream.     

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.     

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.     

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.     

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.     

Connectedness and Self‐Regulation as Constructs of the Student Success Skills Program in Inner‐City African American Elementary School Students

The authors evaluated a small‐group counseling intervention, Student Success Skills, provided to 53 inner‐city, 4th‐ and 5th‐grade African American students. Compared with the control group, students who received the treatment reported significant changes in metacognitive skill and feelings of connectedness to school. Furthermore, treatment‐group students received higher posttest change scores on certain executive functioning subscale items, as reported by their classroom teachers. Implications for counseling practice are presented.     

Introducing a novel method to assess cumulative steroid concentrations: increased hair cortisol concentrations over 6 months in medicated patients with depression

Depression has been linked to increased cortisol concentrations using point measures taken from urine, blood, or saliva samples. However, with regard to hypercortisolism-induced consequences, long-term cumulative cortisol burden is of relevance. Our objective was to use hair analysis as a new method to assess cortisol exposure over 6 months in depressed patients and healthy controls. We examined 23 depressed patients (8 men and 15 women, mean age: 41.6 years (?±?standard deviation (SD), 13.1 years); mean duration of current depressive episode 9 months (?±?SD, 13 months)) and 64 healthy controls, matched for age and gender. Cortisol concentrations in two 3-cm hair segments from near to the scalp were analyzed, representing cortisol secretion during the 6 months prior to sampling. Compared with healthy individuals, depressed patients had higher hair cortisol concentrations in the first (mean?±?SD: 26.7?±?20.8 vs. 18.7?±?11.5?pg/mg, p?相似文献