Moral development and form of participation, type of sport, and sport experience

The present study investigated aspects of moral development in sport, according to the form of participation, type of sport, and sport experience. 510 participants, 14 to 49 years of age (M=24.9, SD=8.3) who came from organized competitive sports included athletes (n=327), referees (n=138), and coaches (n=45) in football (n = 161), handball (n = 198), and basketball (n = 150). Years of sport experience ranged from 1 to 6, 7 to 14, and 15 to 30 years of participation in sports. The Defining Issues Test was given; analysis showed no significant differences in development of moral reasoning among participants across different types of sports, forms of participation, and years of experience in sport.     

Judging the pleasantness of contour-rhythm-pitch-timbre musical combinations

The way people with various degrees of musical training integrate timbre, melodic contour, rhythm, and pitch information in an overall pleasantness judgment for musical excerpts was investigated. The theoretical and methodological framework of the study was the functional theory of cognition. In 2 experiments, participants were asked to attribute an overall pleasantness value to combinations of these factors. In Experiment 1, timbre, contour, rhythm, and overall pitch were manipulated. In Experiment 2, timbre and theme (a pattern of pitch and rhythm) were manipulated. Both experiments showed that in judging the pleasantness of musical combinations, participants apply a simple, additive rule in which the weight attributed to one element does not depend of the value of the other elements. Very few differences in regard to the combination rule were observed between participants with and without musical training. These results are discussed in reference to the controversy over pitch and rhythm interaction.     

An international comparative study of self-reported driver behavior

Using a large data base of 20,725 questionnaires from 19 European countries, this article uses a combination of factor analysis and tree based regression to determine driver groups with homogeneous self-reported behavior and determine whether regional differences in driving behaviors exist. Self-reported behavior, including speeding, reckless driving, seat belt use, and drinking and driving are examined. The results suggest that speeding and general reckless (dangerous) behavior are related, perhaps capturing a driver's “risk taking” or “pre-trip violations” behavior. Similarly, seat belt use and driving under the influence of alcohol are also related and may represent a driver's “law abiding” tendency or “during-trip violations” behavior. Further, important regional differences and similarities between European drivers are uncovered. Northern European drivers report a significantly higher compliance with drinking and driving laws and seat belt use regulations than do Southern and Eastern European drivers.     

Stochastic search item selection for factor analytic models

In this paper we implement a Markov chain Monte Carlo algorithm based on the stochastic search variable selection method of George and McCulloch (1993) for identifying promising subsets of manifest variables (items) for factor analysis models. The suggested algorithm is constructed by embedding in the usual factor analysis model a normal mixture prior for the model loadings with latent indicators used to identify not only which manifest variables should be included in the model but also how each manifest variable is associated with each factor. We further extend the suggested algorithm to allow for factor selection. We also develop a detailed procedure for the specification of the prior parameters values based on the practical significance of factor loadings using ideas from the original work of George and McCulloch (1993). A straightforward Gibbs sampler is used to simulate from the joint posterior distribution of all unknown parameters and the subset of variables with the highest posterior probability is selected. The proposed method is illustrated using real and simulated data sets.     

Predicting Academic Dishonesty on National Examinations: The Roles of Gender,Previous Performance,Examination Center Change,City Change,and Region Change

The purpose of the present studies was to evaluate and predict academic cheating with regard to a national examination in a Middle East country. In Study 1, 4,024 students took part and potential cheaters were classified as those having discrepant scores in multiple administrations that exceeded 1 SD in absolute terms. A latent class mixture analysis suggested two pathways for potential cheating: (a) The first path involved students—most male—who changed city or region of examination during test taking, and (b) the second path described students—most male—who did not change city, region, or center of administration. Study 2 profiled cheaters using a sample of examinees who were actually caught cheating. Participants were 545 students, 253 of whom were caught cheating between 2002 and 2012. Both samples were selected from a pool of 319,219 testees using random sampling procedures. Results indicated that a 4-class solution best fitted the data as in Study 1. Furthermore, a predictive model was tested with an independent cross-validation sample of 112 examinees (56 cheaters, 56 noncheaters). Results indicated that the model classified correctly 78.57 of the new cheating cases (sensitivity) and 94.64% of noncheaters (specificity).     

Experiencing Adverse Social Relationships: the Development and Validation of a Self-Report Scale that Measures Individuals’ Histories of Social Punishment (HoSP)

Although the relationship between childhood trauma and psychological maladjustment is well established, the link between punishing social interactions and psychopathology has yet to be explored. This may be due, in part, to the lack of appropriate measurement tools. This investigation aimed to develop and validate an instrument to measure histories of social punishment defined as adverse, day-to-day interactions with significant others. Study 1 examined the factor structure and test-retest reliability of the scale. Study 2 confirmed the factor structure solution and tested its convergent and discriminant validity. Study 3 explored the relationship between social punishment and obsessive-compulsive disorder and depression, as well as the role of gender. Overall, the scale had very good to excellent psychometric properties. Significant correlations were found between ratings of social punishment and certain pathological behaviors. Further, our findings demonstrated that males tended to report more adverse social experiences than females and as a consequence more symptoms of psychopathology. These findings extend and support the link between adverse experiences and the development of various psychopathological conditions.     

The functional role of emotions in aesthetic judgment

Exploring emotions, in terms of their evolutionary origin; their basic neurobiological substratum, and their functional significance in autonomous agents, we propose a model of minimal functionality of emotions. Our aim is to provide a naturalized explanation - mostly based on an interactivist model of emergent representation and appraisal theory of emotions - concerning basic aesthetic emotions in the formation of aesthetic judgment. We suggest two processes the Cognitive Variables Subsystem (CVS) which is fundamental for the accomplishment of the function of heuristic learning; and Aesthetic Appraisal Subsystem (AAS) which primarily affects the elicitation of aesthetic emotional meanings. These two subsystems (CVS and AAS) are organizationally connected and affect the action readiness of the autonomous agent. More specifically, we consider the emotional outcome of these two subsystems as a functional indication that strengthens or weakens the anticipation for the resolution of the dynamic uncertainty that emerges in the particular interaction.     

Inequity in work and intimate relationships: a Spillover-Crossover model

This study among 267 Greek teachers and their partners tested and expanded the recently proposed Spillover-Crossover model (SCM) of well-being. Accordingly, experiences built up at work spill over to the home domain, and then influence the partner. The authors integrated equity theory in the model by formulating hypotheses about exchange in interpersonal relationships. Structural equation modeling analyses supported the spillover hypothesis that teachers who lose their work engagement as a result of an inequitable relationship with their students invest less in the relationship with their partner. In addition, the results supported the crossover hypothesis that teachers' relationship investments, in turn, show a negative relationship with inequity in the intimate relationship as perceived by the partner; and inequity in the intimate relationship contributed to partner depression. The findings are discussed in light of the SCM of well-being.     

Analysing the perceptions of pedestrians and drivers to shared space

Shared space is an approach to improving streets and places where both pedestrians and vehicles are present, with layouts related more to the pedestrian scale and with features encouraging drivers to assume priority having been reduced or removed. It creates a more pedestrian-friendly environment than conventional street layouts, which are based on greater segregation between pedestrians and vehicles, while at the same time introducing uncertainty, which makes drivers engage more fully with their surroundings, leading to lower vehicle speeds and improved safety. This paper investigates the importance of certain person-, context- and design-specific factors affecting the perceptions of pedestrians and drivers to shared space. Using two web-based stated-preference surveys, two sets of responses are collected from pedestrians and drivers, who are presented with different combinations of binary factors forming scenarios. Regression analysis is carried out with logit models for each survey. The results suggest that pedestrians feel most comfortable in shared space under conditions which ensure their presence is clear to other road users – these conditions include low vehicular traffic, high pedestrian traffic, good lighting and pedestrian-only facilities. Conversely, the presence of many pedestrians and, in particular, children and elderly, makes drivers feel uneasy and, therefore, enhances their alertness.     

Factorial invariance and latent mean differences of scores on trait emotional intelligence across gender and age

Little is known about the factorial invariance and latent mean difference across sex and age in trait emotional intelligence (EI). The purpose of this study was to examine whether the measurement structure underlying trait EI is equivalent across sex and age groups. The sample consisted of 2919 teenagers, youths and adults. In order to investigate the above hypothesis the measurement and structural equivalence as well as the equality of latent means of scores across sex and age were tested. The multi-group confirmatory factor analysis results revealed that configural, metric, scalar and structural invariance exist across sex and age samples. Findings regarding the latent mean differences across sex and age groups are discussed with reference to recent and past findings.