Yielding behavior and traffic conflicts at cyclist crossing facilities on channelized right-turn lanes

Channelized right-turn lanes (CRTLs) improve traffic flow efficiency, enabling right-turning drivers to bypass traffic lights at signalised intersections (for right-hand drive countries). Many CRTLs provide crossing facilities for pedestrians and cyclists. Previous studies examining the safety performance of CRTLs indicate that they increase overall safety levels but hint that safety issues regarding vulnerable road users exist. This study investigated these issues through site-based observations of yielding behavior and evaluated the effect of the priority rule on cyclists’ safety in two CRTL designs. Four locations in Belgium were selected for video observations: two where the priority rule favoured cyclists and two where motorists had priority.With regard to yielding, four types of crossing behavior were identified and defined. Independent of the priority rule, cyclists crossed the conflict zone first in most interactions without taking the initiative to cross first. Underlying reasons for motorists willingly giving away their right-of-way could not be determined, but possible courtesy or fear of inflicting injuries at vulnerable road users might be at hand. A safety evaluation was performed using two traffic conflict indicators (TTC_min and the TA value). High correlations between the two indicators were found (r² > 0.83), but no conclusions about the safest priority rule for cyclists could be drawn. The results hinted, however, that locations with motorist priority and cyclists crossings from right to left (from the driver’s point of view) yields the highest proportion of safety critical events.     

Accounting for auto-dependency in binary dyadic time series data: A comparison of model- and permutation-based approaches for testing pairwise associations

Many theories have been put forward on how people become synchronized or co-regulate each other in daily interactions. These theories are often tested by observing a dyad and coding the presence of multiple target behaviours in small time intervals. The sequencing and co-occurrence of the partners’ behaviours across time are then quantified by means of association measures (e.g., kappa coefficient, Jaccard similarity index, proportion of agreement). We demonstrate that the association values obtained are not easy to interpret, because they depend on the marginal frequencies and the amount of auto-dependency in the data. Moreover, often no inferential framework is available to test the significance of the association. Even if a significance test exists (e.g., kappa coefficient) auto-dependencies are not taken into account, which, as we will show, can seriously inflate the Type I error rate. We compare the effectiveness of a model- and a permutation-based framework for significance testing. Results of two simulation studies show that within both frameworks test variants exist that successfully account for auto-dependency, as the Type I error rate is under control, while power is good.     

Regression away from the mean: Theory and examples

Using a standard repeated measures model with arbitrary true score distribution and normal error variables, we present some fundamental closed-form results which explicitly indicate the conditions under which regression effects towards (RTM) and away from the mean are expected. Specifically, we show that for skewed and bimodal distributions many or even most cases will show a regression effect that is in expectation away from the mean, or that is not just towards but actually beyond the mean. We illustrate our results in quantitative detail with typical examples from experimental and biometric applications, which exhibit a clear regression away from the mean (‘egression from the mean’) signature. We aim not to repeal cautionary advice against potential RTM effects, but to present a balanced view of regression effects, based on a clear identification of the conditions governing the form that regression effects take in repeated measures designs.     

The Psychology of Men's Health

Abstract

Although numerous measures of coping have been presented in the literature, many suffer from methodological flaws. This article argues that efforts to improve coping assessment should not be limited to enhancing psychometric quality, since methodological shortcomings reflect more basic underlying conceptual problems of the coping constud. TWO types of problems in coping assessment are discussed, based on a review of well-known coping measures. The first concerns conceptual issues, such as the process versus trait approach to cop ing and the lack of clear theoretical guidelines for systematic exploration of the appropriate measurement level and number of coping dimensions. He second concerns the issue of developing appropriate techniques to evaluate psychometric properties of proass measures of coping. Several recommendations for improving the quality of coping assessment are suggested.     

Psychometric Properties of the Dyadic Parent-Child Interaction Coding System in The Netherlands

Abstract

The current study explored the psychometric properties of a parent-child interaction observation system, the Dyadic Parent-Child Interaction Coding System (DPICS) in the Netherlands. Participants included 31 Dutch mother-child dyads and 86?U.S. mother-child dyads for a community sample (2–7?years; 50% boys). Good one-week test-retest reliability was demonstrated among the Dutch sample. Similarities were found between Dutch and U.S. samples on most interaction codes, but mothers in the U.S. sample used more directive behaviors (e.g., commands) in some situations. Findings suggest that the DPICS is a reliable measure of mother-child interactions in the Dutch population. Cultural issues regarding the use of the DPICS are discussed.     

主动脉夹层患者手术前心理危机的危害及其干预对策

主动脉夹层患者手术前的心理危机对其治疗有极大的负影响。本文作者首先列举了主动脉夹层患者手术前心理危机的主要危害,并详细分析了其心理危机的产生原因,然后针对性地提出了该类患者手术前心理危机可能的干预对策,同时列举一些采取了这些心理干预取得显著疗效的医院,充分证明心理干预在该类患者治疗中的重要性,最后面对目前该类患者手术前...     

System‐perpetuating asymmetries between explicit and implicit intergroup attitudes among indigenous and non‐indigenous Chileans

The present research demonstrates a dissociation between explicit and implicit intergroup evaluation in the reciprocal attitudes between indigenous (Mapuche) and non‐indigenous Chileans. In both social groups, the explicit measures of attitudes towards the respective in‐group and out‐group were compared with the Implicit Association Test scores. The results indicate that the members of the low‐status minority might explicitly express a moderate evaluative preference for their in‐group but might implicitly devalue it. Conversely, the members of the high‐status majority might implicitly devalue their out‐group but might explicitly express no bias. These results are theoretically framed in terms of system justification, conventional stereotypes and motivated correction processes.     

RIASEC interest and confidence cutoff scores: Implications for career counseling

One strategy commonly used to simplify the joint interpretation of interest and confidence inventories is the use of cutoff scores to classify individuals dichotomously as having high or low levels of confidence and interest, respectively. The present study examined the adequacy of cutoff scores currently recommended for the joint interpretation of the Strong Interest Inventory (SII: Donnay, Morris, Schaubhut, & Thompson, 2005) and the Skills Confidence Inventory (SCI: [Betz, Borgen et al., 1996] and [Betz et al., 2005]). Cutoff score criteria were evaluated based on a sample of college students and employed adults (n = 1000), and cross-validated with a second sample of college students (n = 1, 149) who completed an experimental measure of RIASEC interests and confidence. Results were interpreted in the context of social cognitive career theory (Lent, Brown, & Hackett, 1994) by testing predictions regarding the relative frequency of individuals with either matched or mismatched levels of interest and confidence.     

Are problems prevalent and stable in non-clinical populations? Problems and test-retest stability of a patient-generated measure,PSYCHLOPS (Psychological Outcome Profiles), in a non-clinical student sample

In straightened times counselling must evidence the changes it promotes on reputable measures. Patient-generated measures complement nomothetic measures and may be nearer the ethos of counselling in eliciting individuals' problems. Scores from such measures from non-clinical samples are rarely reported, making their test-retest stability uncertain. We report the prevalence and stability of self-reported problems using PSYCHLOPS (Psychological Outcome Profiles) in a non-clinical student population. PSYCHLOPS is a four-item, self-administered, patient-generated instrument. PSYCHLOPS was completed twice, 7–10 days apart. A wide range of problems was reported and showed satisfactory test-retest stability: Pearson, 0.66; Spearman, 0.68; intra-class correlation coefficient, 0.70. This is reassuring as instability would undermine PSYCHLOPS as a sensitive change measure.