Assessing the factor structure of the Behaviour of Young Novice Drivers Scale (BYNDS)

The Behaviour of Young Novice Drivers Scale (BYNDS) is a self-report instrument to assess risky driving behaviours among youth population. Although previous studies have offered evidences of reliability and validity for the BYNDS scores, results are not conclusive as regards its factor structure. The aim of this research was to assess the factor structure of the BYNDS via Confirmatory Factor Analyses (CFA). The BYNDS was administered to a sample of 832 drivers aged from 18 to 25 years (Argentina = 270, Colombia = 350, and Mexico = 212). Six models were examined: three derived from previous literature, one emerged from an exploratory factor analysis, a unidimensional model, and a bifactor model. Results showed that none of the models analysed offered a completely acceptable fit to the data. However, the original model hypothesizing five orthogonal factors showed the best fit indices, with all of the items loading onto the associated factor. Results of the bifactor analysis suggested that three of the subscales (transient violations, fixed violations, and misjudgements) share a strong common basis and their scores would not offer much information above and beyond the total score. On the contrary, the items in the subscale of risk-exposure are clearly influenced by a specific domain factor, contributing to the multidimensionality of the BYNDS. In line with previous studies, males scored higher than females in driving violations, fixed violations, and risk-exposure. This study contributes to the psychometric refinement of a novel measure of risky driving in youth population. This self-report could be a valuable tool in the evaluation of road safety performance.     

Lessons learned from pedestrian-driver communication and yielding patterns

Understanding the hidden patterns of tacit communication between drivers and pedestrians is crucial for improving pedestrian safety. However, this type of communication is a result of the psychological processes of both pedestrians and drivers, which are very difficult to understand thoroughly. This study utilizes a naturalistic field study dataset and explores the hidden patterns from successful and failed communication events using a pattern recognition method known as Taxicab Correspondence Analysis (TCA). The successful communication scenarios indicate the combinations of variable attributes such as eye contact, facial expression, the assertion of crossing, and effective traffic control devices are strongly associated with successful scenarios. The patterns for failed scenarios are most likely to be on the roadway with a relatively higher speed limit (e.g., 35 mph) and a relatively lower speed limit (e.g., 15 mph) under different conditions. On roadways with a higher speed limit, the failed scenarios are highly associated with passive and undecisive pedestrians, pedestrians far away from the crosswalk, regardless of pedestrian-driver eye contact and facial expression of the pedestrians. Instead of waiting for pedestrians to making a crossing decision, overspeeding drivers are more likely to speed up and pass the crosswalk. On roadways with a lower speed limit, the failed scenarios are often associated with distracted pedestrians, vehicles having the right of way, and the absence of effective traffic control devices. These findings could help transportation agencies identify appropriate countermeasures to reduce pedestrian crashes. The findings on driver-pedestrian communication patterns could provide scopes for improvement in computer vision-based algorithms designed for autonomous vehicle industries.     

CoTO: A novel approach for fuzzy aggregation of semantic similarity measures

Semantic similarity measurement aims to determine the likeness between two text expressions that use different lexicographies for representing the same real object or idea. There are a lot of semantic similarity measures for addressing this problem. However, the best results have been achieved when aggregating a number of simple similarity measures. This means that after the various similarity values have been calculated, the overall similarity for a pair of text expressions is computed using an aggregation function of these individual semantic similarity values. This aggregation is often computed by means of statistical functions. In this work, we present CoTO (Consensus or Trade-Off) a solution based on fuzzy logic that is able to outperform these traditional approaches.     

论《易纬》对《周易》经传的阐释

纬书是相对经书而言的,因此,纬书中有很多内容是阐发和解释经书的。《易纬》是纬书的一种,对《周易》经传阐发和解释也是《易纬》的一个重要内容。在内容阐发上,其对《周易》的起源、作者以及乾坤二卦和象数等方面提出了与众不同的看法;在经文解释上,其对《周易》的经文作了直接的解释。由此我们可以看出《易纬》与汉代其它易学学派不同的易学观。     

Implications of Indeterminate Factor-Error Covariances for Factor Construction, Prediction, and Determinacy

The assumptions of the model for factor analysis do not exclude a class of indeterminate covariances between factors and error variables (Grayson, 2003). The construction of all factors of the model for factor analysis is generalized to incorporate indeterminate factor-error covariances. A necessary and sufficient condition is given for indeterminate factor-error covariances to be arbitrarily small, for mean square convergence of the regression predictor of factor scores, and for the existence of a unique determinate factor and error variable. The determinate factor and error variable are uncorrelated and satisfy the defining assumptions of factor analysis. Several examples are given to illustrate the results. Requests for reprints should be sent to Wim P. Krijnen, Lisdodde 1, 9679 MC Scheemda, The Netherlands.     

Moral chronicity and social information processing: Tests of a social cognitive approach to the moral personality

Following Higgins, King, and Mavin (1982) chronicity paradigm, we examined the effects of chronically accessed moral constructs for prototypic moral character using two different research paradigms, spontaneous trait inferencing and lexical decision. Study 1 presented target sentences in a deliberate or spontaneous processing condition. Recall was cued with either a dispositional or semantic cue. Moral chronics made more spontaneous trait inferences with dispositional cues than semantic cues. In Study 2, participants read stories about characters who did or did not help. Moral chronics were faster responding to probes reflecting negative evaluations of story characters who did not help when requested (e.g., “disloyal”). Findings support claims that the moral personality is usefully conceptualized in terms of the chronic accessibility of moral knowledge structures.     

Through neural stimulation to behavior manipulation: a novel method for analyzing dynamical cognitive models

The dynamical systems' approach to cognition (Dynamicism) promises computational models that effectively embed cognitive processing within its more natural behavioral context. Dynamical cognitive models also pose difficult, analytical challenges, which motivate the development of new analytical methodology. We start by illustrating the challenge by applying two conventional analytical methods to a well-known Dynamicist model of categorical perception. We then introduce our own analysis, which works by analogy with neural stimulation methods, and which yields some novel insights into the way the model works. We then extend and apply the method to a second Dynamicist model, which captures the key psychophysical trends that emerge when humans and animals compare two numbers. The results of the analysis-which reveals units with tuning functions that are monotonically related to the magnitudes of the numbers that the agents must compare-offer a clear contribution to the contentious debate concerning the way number information is encoded in the brain.     

A Dyadic Analysis of the Between‐ and Within‐System Alliances on Distress

To read this article's abstract in both Spanish and Mandarin Chinese, please visit the article's full‐text page on Wiley InterScience ( http://interscience.wiley.com/journal/famp ). This study examines the relationship between the therapeutic alliance and distress using the couple rather than the individual as the unit of analysis. One hundred and seventy‐three couples receiving treatment for relational distress at two university clinics participated in this study. The actor–partner interdependence model was used to analyze the relationship of each partner's between‐ and within‐system alliance scores and distress at session four. Results provide support for actor effects on relational distress for both male and female partners and for actor effects on psychological distress for female partners. Limited support was found for partner effects on distress. Furthermore, results indicate that the alliance between partners is a stronger predictor of improvement in early sessions in comparison with the alliance between the individual and the therapist.     

Dimensions of interpersonal orientation: Cross-cultural studies regarding the structure of the ‘DOI Kit’

The DOI Kit is a four-version instrument (Junior Self and Other-Report, and Adult Self-and Other-Report) developed in Spain to measure ‘Dimensions of Interpersonal Orientation’ (Spanish: ‘Dimensiones de Orientación Interpersonal’ or DOI), which are defined as prevalent postures in interpersonal behaviour. The DOI Kit has six first-level scales that collapse into two broad oblique dimensions: Prosocial versus Antisocial Behaviour, and Sociability versus Unsociability.The aim of this article is to find out whether the first- and second-level structure of the Spanish DOI Kit can also be applied to data gathered in Chile and in Germany. A total of eight groups of data were studied. In order to find the best common structure for Spanish, Chilean, and German samples, Simultaneous Component Analysis (SCA) was applied. SCA shows an excellent replication of the original DOI Kit structure. This is also found when separate factor analyses (varimax and oblimin rotations) are performed.     

Dyadic Coping in Couple Therapy Process: An Exploratory Study

This study aimed at moving beyond previous research on couple therapy efficacy by examining moment‐by‐moment proximal couple and therapist interactions as well as final treatment outcomes and their reciprocal association. Seven hundred four episodes of dyadic coping within 56 early therapy sessions, taken from 28 married couples in treatment, were intensively analyzed and processed using a mixed‐methods software (T‐LAB). Results showed that negative dyadic coping was self‐perpetuating, and therapists tended to passively observe the negative couple interaction; on the contrary, positive dyadic coping appeared to require a therapist's intervention to be maintained, and successful interventions mainly included information gathering as well as interpreting. Couples who dropped out of treatment were not actively engaged from the outset of therapy, and they used more negative dyadic coping, whereas couples who successfully completed treatment showed more positive dyadic coping very early in therapy. Results highlight the role of therapist action and control as critical to establishing rapport and credibility in couple therapy and suggest that dyadic coping patterns early in therapy may contribute to variable treatment response.