孝道:理论、测量、变迁及与相关变量的关系

孝道是一套子女以父母为对象的社会态度和社会行为的组合。近10余年来孝道研究领域在理论建构、测量工具的开发、孝道变迁研究以及其与相关变量之间关系的研究上取得了一些重要进展。未来研究的关键在于建构孝道多元模型,不断完善孝道测量工具,采用系统化思维、综合运用多种方法改进研究质量,更加关注孝道与积极心理变量的关系。     

What are the factors determining user intentions to use AV while impaired?

In this study, we employ the Integrated Choice Latent Variable (ICLV) framework to model the public’s intention of using Autonomous Vehicles (AVs) while impaired under the influence of alcohol, medicine, or fatigue. We identify five latent constructs from psychometric indicators that define respondent’s perception and attitudes towards AVs which are i) perceived benefits, ii) perceived risks, iii) enjoy driving, iv) wheels public transport attitude, and v) rails public transport attitude. We use these latent variables along with explanatory variables to study user intentions regarding delegation of vehicle control from human driving to autonomous driving. The study uses survey data collected from 1,065 Czech residents between 2017 and 2018. Our findings indicate that user intentions are primarily defined by attitudes rather than socio-demographic attributes. However, the inclusion of both types of variables is crucial in evaluating user intentions. Despite a positive outlook towards AVs, people were found to be reluctant in using AVs while impaired which can be attributed to distrust towards the technology. Our analysis shows that with appropriate efforts from policymakers, the public’s attitude can be changed to promote adoption. The efforts will have to be emphasized towards building positive attitudes (such as perceived benefits) and diminishing existing negative attitudes (such as perceived risks).     

贝叶斯推理的三重加工心智模型

自二十世纪60年代Edwards首次用实验研究人类推理是否遵循贝叶斯规则以来,国内外贝叶斯推理研究取得了长足的发展,但也出现了一些困境:对影响贝叶斯推理的客体因素和主体因素研究未成体系,解释理论莫衷一是。未来的研究应该重新审视客体与主体的关系,系统整合和多角度分析影响贝叶斯推理的因素,尝试以三重加工心智模型解释人类贝叶斯推理行为,并对以往的解释理论进行融合,从而更好地揭示人类不确定性决策的本质。     

Antecedents of consumer loyalty in ride-hailing

The rise of the sharing economy has remarkedly shifted consumers’ traffic behaviour, which gave rise to successful start-up businesses, such as Uber and Grab, that offer innovative transport alternatives through car and ride sharing. This study investigates consumers’ traffic attitudes and behavioural responses to on-demand ride-hailing. Using structural equation modelling, our survey findings showed that price consciousness, perceived usefulness, ease of use, safety risk and customer value exert significant influences on word-of-mouth (WOM), a manifestation of attitudinal loyalty towards ride-hailing. Contrary to findings in previous studies, our study found insignificant effects of personal innovativeness, subjective norm and perceived privacy security on WOM. In addition, although environmental consciousness is a predictor of WOM, its significant effect on WOM is negative. WOM is found to significantly impact purchase intention which is an indicator of behavioural loyalty. By identifying the antecedents of consumer loyalty in ride-hailing, this study provides recommendations for the ride-hailing ecosystem to generate more sustainable urban transport solutions.     

基于三元精神病态模型的精神病态认知-情感加工框架

精神病态作为暴力犯罪、累犯和青少年犯罪的重要预测变量, 在临床心理学和司法领域受到了广泛重视。三元精神病态模型通过大胆、卑劣和去抑制三个维度对精神病态进行了操作化定义, 反映了精神病态在神经生物学维度上存在的认知情感加工缺陷。其中, 低威胁敏感性是精神病态大胆的主要病因学基础; 而执行功能受损, 尤其是注意调节缺陷则导致了精神病态的去抑制倾向; 而与情绪识别存在联系的共情缺陷可能是卑劣的深层原因。未来研究中仍需关注精神病态的概念化问题, 以及不同精神病态特质之间是否存在共同的潜在病因学基础, 探索精神病态特质在生命早期阶段的体现从而进行及时有效的干预。     

协变量相关对时变效应模型参数估计的影响

时变效应模型被广泛应用于密集追踪研究中,研究者往往会同时纳入2个或以上协变量。然而,协变量相关对其参数估计的影响较少被研究者关注。本研究在不同类型协变量的情境下,采用蒙特卡洛模拟,探讨协变量相关对时变效应模型参数估计的影响,结果表明：（1）在两种协变量类型的情境下,协变量相关都会影响时变效应模型斜率函数β_1和斜率函数β_2参数估计的准确性;（2）两种协变量类型的情境下,协变量相关和样本量的交互作用都会影响时变效应模型斜率函数β_1和斜率函数β_2参数估计的准确性;（3）两种协变量类型的情境下,样本量、观测数据缺失率主要通过主效应影响时变效应模型参数估计的准确性。     

The common sense of counseling psychology: introducing the Common-Sense Model of self-regulation

Abstract

The goal of therapy is typically to improve clients’ self-management of their problems, not only during the course of therapy but also after therapy ends. Although it seems obvious that therapists are interested in improving clients’ self-management, the psychotherapy literature has little to say on the topic. This article introduces Leventhal’s Common-Sense Model of Self-Regulation, a theoretical model of the self-management of health, and applies the model to the therapeutic process. The Common-Sense Model proposes that people develop illness representations of health threats and these illness representations guide self-management. The model has primarily been used to understand how people self-manage physical health problems, we suggest it may also be useful to understand self-management of mental health problems. The Common-Sense Model’s strengths-based perspective is a natural fit for the work of counseling psychologists. The model has important practical implications for addressing how clients understand mental health problems over the course of treatment and self-manage these problems during and after treatment.     

Hazard-based duration approach for understanding pedestrian crossing risk exposure at signalised intersection crosswalks – A case study of Kolkata,India

Pedestrian signal violation is a significant concern among policymakers and traffic engineers as this leads to a pedestrian-vehicle crash. The waiting time for a pedestrian at intersections is crucial in street-crossing decision-making. Once pedestrians terminate their waiting behaviour during the red-light period, they would cross in the red light and put themselves in danger. A total of 2089 red-light arriving pedestrian observations were made at eight intersection crosswalks across Kolkata city (India). With the help of hazard-based duration models, the waiting duration till signal violation has been analysed. Kaplan–Meier curve has been plotted to understand the survival probabilities. A semi-parametric Cox Proportional Hazard model was used to understand the different factors influencing signal violation behaviour. However, the proportional hazard assumption was not satisfied. Therefore, a parametric Accelerated Failure Time (AFT) model was used to understand the various covariates that affect the waiting duration. The results highlighted that 49.5% of pedestrians crossed immediately after arriving at the intersection in the red-light phase. A pedestrian’s probability of crossing the road when it is unsafe, i.e., motor vehicles still have green or yellow, varies with the waiting time. As waiting time increases, pedestrians get impatient and violate the traffic signal. This violation places them at an increased risk of being struck by a motor vehicle. The covariate analysis using the AFT model showed that pedestrian glance/looking behaviour, different types of distractions, signal cycle length, carrying luggage, and traffic plying on the road impacted signal violation behaviour. Signal modifications by reducing red-light phase length for pedestrians might be the most efficient means of reducing the likelihood of signal violation and being hit by a motor vehicle.     

The Dual Process Model of Ideology and Prejudice: A Longitudinal Test During a Global Recession

ABSTRACT

This study tested the pathways between personality, social worldviews, and ideology, predicted by the Dual Process Model (DPM) of ideology and prejudice. These paths were tested using a full cross-lagged panel design administered to a New Zealand community sample in early 2008 (before the effects of the global financial crisis reached New Zealand) and again in 2009 (when the crisis was near its peak; n?=?247). As hypothesized, low openness to experience predicted residualized change in dangerous worldview, which in turn predicted right-wing authoritarianism (RWA). Low agreeableness predicted competitive worldview, which in turn predicted social dominance orientation (SDO). RWA and SDO also exerted unexpected reciprocal effects on worldviews. This study provides the most comprehensive longitudinal test of the DPM to date, and was conducted during a period of systemic instability when the causal effects predicted by the DPM should be, and were, readily apparent.