Reliability Generalization Study of the Yale–Brown Obsessive–Compulsive Scale for Children and Adolescents

The Yale–Brown Obsessive–Compulsive Scale for children and adolescents (CY–BOCS) is a frequently applied test to assess obsessive–compulsive symptoms. We conducted a reliability generalization meta-analysis on the CY–BOCS to estimate the average reliability, search for reliability moderators, and propose a predictive model that researchers and clinicians can use to estimate the expected reliability of the CY–BOCS scores. A total of 47 studies reporting a reliability coefficient with the data at hand were included in the meta-analysis. The results showed good reliability and a large variability associated to the standard deviation of total scores and sample size.     

Analysis of the Impact of Creative Technique on the Motivation of Physical Education Students in Dance Content: Gender Differences

The aim of this study was to learn about the effectiveness of two dance teaching techniques, the creative examination technique and the direct instruction technique, on the satisfaction of basic psychological needs, the level of self‐determination, the perception of usefulness, enjoyment and effort of physical education students. Likewise, it purports to analyze the gender difference in the psychological variables addressed in agreement with the teaching technique used, to guide and personalize the treatment of these contents in physical education. A quasi‐experimental design was carried out with four natural groups from two school centers. The direct instruction technique was applied with two groups and the creative examination technique with the other two, in a total of 12 sessions. An initial and final measurement was taken in both groups, and the results revealed the complexity to motivate students after 12 sessions. However, the gender‐dependent analyses offer methodological guidelines, as the creative technique causes adaptative consequences on the male gender and disadaptative consequences on the female gender. By way of conclusion, we can highlight the need to devote more sessions to dance teaching and to apply different treatments depending on the gender.     

The World at 7:00: Comparing the Experience of Situations Across 20 Countries

The purpose of this research is to quantitatively compare everyday situational experience around the world. Local collaborators recruited 5,447 members of college communities in 20 countries, who provided data via a Web site in 14 languages. Using the 89 items of the Riverside Situational Q‐sort (RSQ), participants described the situation they experienced the previous evening at 7:00 p.m. Correlations among the average situational profiles of each country ranged from r = .73 to r = .95; the typical situation was described as largely pleasant. Most similar were the United States/Canada; least similar were South Korea/Denmark. Japan had the most homogenous situational experience; South Korea, the least. The 15 RSQ items varying the most across countries described relatively negative aspects of situational experience; the 15 least varying items were more positive. Further analyses correlated RSQ items with national scores on six value dimensions, the Big Five traits, economic output, and population. Individualism, Neuroticism, Openness, and Gross Domestic Product yielded more significant correlations than expected by chance. Psychological research traditionally has paid more attention to the assessment of persons than of situations, a discrepancy that extends to cross‐cultural psychology. The present study demonstrates how cultures vary in situational experience in psychologically meaningful ways.     

Testing the subtractive pattern of cultural identification

Identity integration, and more specifically, the subtractive pattern of cultural identification, is investigated in this article. This pattern is hypothesized to occur when individuals integrate a new group identity of higher and legitimate status than their original identity, resulting in lower identification with the original group. The first study examined how relative status predicts the subtractive pattern of identification in immigrants living in Canada. Studies 2 and 3—conducted among Kyrgyz and Canadian participants—extended these results by measuring the impact of legitimacy on the subtractive pattern of identification. Results support the hypothesis that the subtractive pattern of identification takes place when the new identity has a higher and legitimate status compared with the original one, highlighting the possible different patterns of identity integration.     

Resilience and Coping as Predictors of Well-Being in Adults

Well-being is one of the keys to successful and optimal development across the lifespan. Based on the idea that development involves changes in individuals’ adaptive capacity to meet their needs over time, the changes that occur in the second half of life require effort to adapt to the new reality. This study used a structural model to test the effects of coping strategies and resilience on well-being in a sample of 305 mid-life adults. Several constructs were measured: coping strategies, resilience, and well-being. A final model was obtained with good fit indices; psychological well-being was positively predicted by resilience and negatively by emotional coping. Moreover, positive reappraisal and avoidance form part of both coping strategies (problem-focused and emotion-focused). Considering the characteristics of the model, educational intervention programs could be developed to promote skills that favor good adaptation at this stage in the life cycle and contribute to promoting successful aging.     

Biclustering Models for Two-Mode Ordinal Data

The work in this paper introduces finite mixture models that can be used to simultaneously cluster the rows and columns of two-mode ordinal categorical response data, such as those resulting from Likert scale responses. We use the popular proportional odds parameterisation and propose models which provide insights into major patterns in the data. Model-fitting is performed using the EM algorithm, and a fuzzy allocation of rows and columns to corresponding clusters is obtained. The clustering ability of the models is evaluated in a simulation study and demonstrated using two real data sets.