Who are the skilled therapists? Associations between personal characteristics and interpersonal skills of future psychotherapists.

OBJECTIVE: Facilitative interpersonal skills (FIS) are a promising variable to explain the so-called therapist effect. We aimed to investigate associations between observer-rated interpersonal skills and self-reported personal characteristics of future therapists. METHOD: In this cross-sectional observational study, psychology students and trainee therapists completed self-report personality and sociodemographic questionnaires as well as the FIS Performance Task (German version, observer-rated). Mixed multilevel model analysis was conducted with FIS total mean score (mean value of 312 individual ratings [13 video-clips, 8 FIS-items, 3 raters]) as dependent variable, therapist ID and FIS clip ID as random effects and 15 therapist variables as fixed effects. RESULTS: In the present sample consisting of 177 participants (age: M = 29.8 years (SD = 7.3), [18,59]; 79.1% female, 20.9% male) greater therapists' experience level, male gender and lower levels of alexithymia were predictive for higher FIS score when statistically controlling for other therapist variables in the model. Age, self-reported childhood maltreatment, attachment style, emotion regulation and self-concept variables turned out to be unrelated. CONCLUSION: The results can inform psychotherapy training programs. They specifically support the importance of addressing therapists' potential difficulties in recognizing and verbalizing emotions. This is in line with theoretical literature on alliance ruptures and premises of the Alliance-focused training.

Absolute and Relative Judgment Accuracy: Early Childhood Teachers' Competence to Evaluate Children's Mathematical Skills.

This study examined absolute and relative judgment accuracies of German early childhood (EC) teachers with respect to the mathematical skills of the children under their supervision. The two types of judgment accuracies are crucial prerequisites for pacing activities in EC education and offering differentiated educational activities adapted to individual skill levels of children. Data from 39 EC teachers and 268 children were analyzed using multilevel modeling. Teachers rated the skills of children on a structured observation instrument ("Kinder Diagnose Tool," KiDiT). Children were assessed on their mathematical skills with a standardized test ("Mathematische Basiskompetenzen im Kindesalter," MBK-0). On average, 65% of the variation in judgments of teachers on the KiDiT could be explained by MBK-0 scores of children, which suggest that teachers are-on average-able to rank children within their groups. Teachers were also able to judge the mathematical level of skills of children as assessed by the MBK-0. Neither mathematical content knowledge (MCK) of teachers nor their mathematics pedagogical content knowledge (MPCK) or general pedagogical knowledge (GPK) moderated the relationship between judgments of teachers and test scores of children or the relationship between the level of the judgments and the level of test scores. Conclusions for future research and practice are drawn.

Dimensions and Clusters of Aesthetic Emotions: A Semantic Profile Analysis.

Aesthetic emotions are elicited by different sensory impressions generated by music, visual arts, literature, theater, film, or nature scenes. Recently, the AESTHEMOS scale has been developed to facilitate the empirical assessment of such emotions. In this article we report a semantic profile analysis of aesthetic emotion terms that had been used for the development of this scale, using the GRID approach. This method consists of obtaining ratings of emotion terms on a set of meaning facets (features) which represent five components of the emotion process (appraisal, bodily reactions, action tendencies, expression, and feelings). The aims here were (a) to determine the dimensionality of the GRID features when applied to aesthetic emotions and compare it to published results for emotion terms in general, and (b) to examine the internal organization of the domain of aesthetic emotion terms in order to identify salient clusters of these items based on the similarity of their feature profiles on the GRID. Exploratory Principal Component Analyses suggest a four-dimensional structure of the semantic space consisting of valence, power, arousal, and novelty, converging with earlier GRID studies on large sets of standard emotion terms. Using cluster analyses, 15 clusters of aesthetic emotion terms with similar GRID feature profiles were identified, revealing the internal organization of the aesthetic emotion terms domain and meaningful subgroups of aesthetic emotions. While replication for further languages is required, these findings provide a solid basis for further research and methodological development in the realm of aesthetic emotions.

Measuring aesthetic emotions: A review of the literature and a new assessment tool.

Aesthetic perception and judgement are not merely cognitive processes, but also involve feelings. Therefore, the empirical study of these experiences requires conceptualization and measurement of aesthetic emotions. Despite the long-standing interest in such emotions, we still lack an assessment tool to capture the broad range of emotions that occur in response to the perceived aesthetic appeal of stimuli. Elicitors of aesthetic emotions are not limited to the arts in the strict sense, but extend to design, built environments, and nature. In this article, we describe the development of a questionnaire that is applicable across many of these domains: the Aesthetic Emotions Scale (Aesthemos). Drawing on theoretical accounts of aesthetic emotions and an extensive review of extant measures of aesthetic emotions within specific domains such as music, literature, film, painting, advertisements, design, and architecture, we propose a framework for studying aesthetic emotions. The Aesthemos, which is based on this framework, contains 21 subscales with two items each, that are designed to assess the emotional signature of responses to stimuli's perceived aesthetic appeal in a highly differentiated manner. These scales cover prototypical aesthetic emotions (e.g., the feeling of beauty, being moved, fascination, and awe), epistemic emotions (e.g., interest and insight), and emotions indicative of amusement (humor and joy). In addition, the Aesthemos subscales capture both the activating (energy and vitality) and the calming (relaxation) effects of aesthetic experiences, as well as negative emotions that may contribute to aesthetic displeasure (e.g., the feeling of ugliness, boredom, and confusion).

Path Models of Vocal Emotion Communication.

We propose to use a comprehensive path model of vocal emotion communication, encompassing encoding, transmission, and decoding processes, to empirically model data sets on emotion expression and recognition. The utility of the approach is demonstrated for two data sets from two different cultures and languages, based on corpora of vocal emotion enactment by professional actors and emotion inference by naïve listeners. Lens model equations, hierarchical regression, and multivariate path analysis are used to compare the relative contributions of objectively measured acoustic cues in the enacted expressions and subjective voice cues as perceived by listeners to the variance in emotion inference from vocal expressions for four emotion families (fear, anger, happiness, and sadness). While the results confirm the central role of arousal in vocal emotion communication, the utility of applying an extended path modeling framework is demonstrated by the identification of unique combinations of distal cues and proximal percepts carrying information about specific emotion families, independent of arousal. The statistical models generated show that more sophisticated acoustic parameters need to be developed to explain the distal underpinnings of subjective voice quality percepts that account for much of the variance in emotion inference, in particular voice instability and roughness. The general approach advocated here, as well as the specific results, open up new research strategies for work in psychology (specifically emotion and social perception research) and engineering and computer science (specifically research and development in the domain of affective computing, particularly on automatic emotion detection and synthetic emotion expression in avatars).

Honey, I got fired! A longitudinal dyadic analysis of the effect of unemployment on life satisfaction in couples.

Previous research on unemployment and life satisfaction has focused on the effects of unemployment on individuals but neglected the effects on their partners. In the present study, we used dyadic multilevel models to analyze longitudinal data from 2,973 couples selected from a German representative panel study to examine the effects of unemployment on life satisfaction in couples over several years. We found that unemployment decreases life satisfaction in both members of the couple, but the effect is more pronounced for those who become unemployed (actors) than for the other couple members (partners). In both couple members, the reaction is attenuated if they share the same labor status after the job loss: Actors experienced a greater drop in life satisfaction if their partners were employed than if they were unemployed at the time of the job loss, and partners reacted negatively to the job loss only if they were employed or inactive in the workforce, but not if they were unemployed themselves. With respect to couple-level moderator variables, we found that both actors and partners reacted more negatively to unemployment if they had children. The reaction was also more negative in male actors than in female actors, but there was no difference between male and female partners. In sum, these findings indicate that changes in life satisfaction can be caused by major life events experienced by significant others.