Age group differences in self-reported aggressive driving perpetration and victimization

Aim

This study examined whether the predictors of self-reported aggressive driving perpetration and victimization vary across age groups.

Method

Based on data from a general-population telephone survey conducted from July 2002 through June 2005, three groups of drivers were examined: 18–34 year-olds (N = 1522), 35–54 year-olds (N = 2726), and 55 years of age or older (N = 1883). For each age group sample, logistic regression analyses examined self-reported aggressive driving perpetration and victimization in the last 12 months by measures of driving exposure, heavy drinking, cannabis use, and drinking-driving, while controlling for demographic factors.

Results

The prevalence of aggressive driving perpetration within the past year was highest for the youngest age group (51%), followed by the middle-aged group (37%), and then the oldest age group (18%). The same pattern of results was found for prevalence of aggressive driving victimization (54%, 47%, and 31%, respectively). Controlling for demographic factors, the predictors of perpetration were generally consistent across the age groups. The logistic regression model for the youngest drivers revealed that those who reported stressful driving, heavy drinking, and cannabis use had significantly increased odds of reporting perpetration of aggressive driving. For middle-aged and older drivers, stressful driving, driving on busy roads, cannabis use, and driving after drinking were associated with perpetration. In addition, increased mileage contributed to perpetration in the oldest group. The findings for victimization by aggressive driving were similar. The logistic regression model for the youngest age group identified stressful driving, cannabis use, and higher annual mileage as being associated with victimization. For the oldest age group, these same variables were significant predictors of victimization, in addition to driving on busy roads. The logistic regression for the middle-aged group identified the same predictors as that of the oldest age group; however, interestingly driving after drinking was found to predict lower victimization among middle-aged drivers.

Conclusions

Although the prevalence of aggressive driving perpetration and victimization declined with age, the factors that contributed to aggressive driving remained generally stable across the lifespan. The results suggest that efforts to reduce aggressive driving among young drivers may prove to be effective for drivers from all age groups.     

Inferring hidden causal structure

We used a new method to assess how people can infer unobserved causal structure from patterns of observed events. Participants were taught to draw causal graphs, and then shown a pattern of associations and interventions on a novel causal system. Given minimal training and no feedback, participants in Experiment 1 used causal graph notation to spontaneously draw structures containing one observed cause, one unobserved common cause, and two unobserved independent causes, depending on the pattern of associations and interventions they saw. We replicated these findings with less-informative training (Experiments 2 and 3) and a new apparatus (Experiment 3) to show that the pattern of data leads to hidden causal inferences across a range of prior constraints on causal knowledge.     

Effects of Attention on the Strength of Lexical Influences on Speech Perception: Behavioral Experiments and Computational Mechanisms

The effects of lexical context on phonological processing are pervasive and there have been indications that such effects may be modulated by attention. However, attentional modulation in speech processing is neither well documented nor well understood. Experiment 1 demonstrated attentional modulation of lexical facilitation of speech sound recognition when task and critical stimuli were identical across attention conditions. We propose modulation of lexical activation as a neurophysiologically plausible computational mechanism that can account for this type of modulation. Contrary to the claims of critics, this mechanism can account for attentional modulation without violating the principle of interactive processing. Simulations of the interactive TRACE model extended to include two different ways of modulating lexical activation showed that each can account for attentional modulation of lexical feedback effects. Experiment 2 tested conflicting predictions from the two implementations and provided evidence that is consistent with bias input as the mechanism of attentional control of lexical activation.     

Perceived Physical Attractiveness, Sexual History, and Sexual Intentions: An Internet Study

This study was designed to examine the influence a potential date’s physical attractiveness and sexual history has on an individual’s intentions to engage in safer sex. Over 1,200 participants completed an Internet survey. The questionnaire presented a randomized biography and photograph and asked participants to rate their interest in dating and having a sexual relationship with the target. Participants were randomly assigned to one of six conditions based on the target’s physical attractiveness (low vs. high) and sexual experience (low, medium, or high). Results indicated that men reported greater intentions to have sex than women did, and all participants reported greater likelihood of having sex when the potential partner was highly attractive. Participants rated men and more experienced targets as more risky sexual partners, and the level of a target’s sexual experience was directly related to participants’ willingness to discuss sexual risks. Results indicate a continuing need to include discussion of cognitive factors in all HIV prevention efforts.     

Measuring organisational climate and employee engagement: Evidence for a 7 Ps model of work practices and outcomes

This study presents evidence supporting the psychometric properties of the Voice Climate Survey: an employee opinion survey that measures work practices and outcomes. The tool is tested across 13,729 employees from 1,279 business units representing approximately 1,000 organisations. Exploratory factor analyses, confirmatory factor analyses and internal reliability analyses support 31 lower‐order work practices and outcomes that aggregate into seven higher‐order work systems broadly covering practices and outcomes such as organisational direction, ethics, resources, involvement, recognition, development, teamwork, wellness, work/life balance, change management, customer satisfaction, job satisfaction, organisational commitment and employees' intention to stay. External validation of the tool is demonstrated by linking scores from the employee survey with independent manager reports of turnover, absenteeism, productivity, health and safety, goal attainment, financial performance, change management, innovation and customer satisfaction.     

Specialization effect and its influence on memory and problem solving in expert chess players

Expert chess players, specialized in different openings, recalled positions and solved problems within and outside their area of specialization. While their general expertise was at a similar level, players performed better with stimuli from their area of specialization. The effect of specialization on both recall and problem solving was strong enough to override general expertise—players remembering positions and solving problems from their area of specialization performed at around the level of players 1 standard deviation (SD) above them in general skill. Their problem-solving strategy also changed depending on whether the problem was within their area of specialization. When it was, they searched more in depth and less in breadth; with problems outside their area of specialization, the reverse. The knowledge that comes from familiarity with a problem area is more important than general purpose strategies in determining how an expert will tackle it. These results demonstrate the link in experts between problem solving and memory of specific experiences and indicate that the search for context-independent general purpose problem-solving strategies to teach to future experts is unlikely to be successful.     

Cognitive models of choice: comparing decision field theory to the proportional difference model

People often face preferential decisions under risk. To further our understanding of the cognitive processes underlying these preferential choices, two prominent cognitive models, decision field theory (DFT; Busemeyer & Townsend, 1993 ) and the proportional difference model (PD; González-Vallejo, 2002 ), were rigorously tested against each other. In two consecutive experiments, the participants repeatedly had to choose between monetary gambles. The first experiment provided the reference to estimate the models' free parameters. From these estimations, new gamble pairs were generated for the second experiment such that the two models made maximally divergent predictions. In the first experiment, both models explained the data equally well. However, in the second generalization experiment, the participants' choices were much closer to the predictions of DFT. The results indicate that the stochastic process assumed by DFT, in which evidence in favor of or against each option accumulates over time, described people's choice behavior better than the trade-offs between proportional differences assumed by PD.     

利用网络进行心理学研究:西方与中国概况

基于网络的心理学研究(简称网基研究)即用网络进行的心理学研究,包括非反应性网基研究、网基调查、网基心理测验以及网基实验四种类型,具有样本大并且多样、外部/生态效度较高等优点,但同时也面临实验控制不足、自我选择、中途退出等问题。本文对网基研究的历史、类型、优缺点及发展状况等相关内容进行了阐述,并特别对我国的网基研究历史、现状和发展进行了简要介绍。     

Mutual friends’ social support and self-disclosure in face-to-face and instant messenger communication

In the present study, we investigated long-term effects of self-disclosure on social support in face-to-face and instant messenger (IM) communication between mutual friends. Using a representative sample of 583 German IM users, we explored whether self-disclosure and positive experiences with regard to social support would dynamically interact in the form of a reinforcing spiral across three measurement occasions. If mutual friends self-disclose today, will they receive more social support 6 months later? In turn, will this affect their willingness to self-disclose another 6 months later? We further analyzed spill-over effects from face-to-face to IM communication and vice versa. We found that self-disclosure predicted social support and vice versa in IM communication, but not in face-to-face communication. In light of these results, the impact of IM communication on how individuals maneuver friendships through the interplay between self-disclosure and social support are discussed.     

Participants' perceptions of smartphone travel surveys

Smartphone travel surveys are becoming of central importance in collecting detailed, accurate data of people’s travel activities. As with their conventional survey counterparts, the quality of data collected through these surveys is adversely affected by participants’ non-response and resulting biases. However, little is known about the factors affecting people’s perceptions and intentions to continue participating in such surveys. Although literature has investigated the associations between individuals’ socio-demographic attributes and their likelihood of survey participation, the impact of their subjective perceptions and attitudes on their survey participation intentions and behaviour is underexplored. Hence, through a model of participants’ perceptions of smartphone travel survey applications (survey apps), this study aims to reveal such impacts and how they affect the participants’ intentions to continue participating in these surveys. In this study, a survey is designed and used to collect data in a smartphone travel survey before the participants are asked about their personal perceptions and attitudes. Partial least squares path modelling (PLS-PM) is applied to analyse the data, as it allows simultaneous estimation of the relationships between multiple latent constructs as well as the indicators of each construct. The results showed a significant, positive impact of the perceived “ease of use” and “usefulness” of the survey app as the technological medium of data collection on the participants’ “satisfaction” and “intention” to continue participating in the corresponding survey. The study also found that participants’ perceived “risk” associated with privacy concerns did not have any significant impact on their intention to continue participating in the survey.