The Tacit–Explicit Connection: Polanyian Integrative Philosophy and a Neo-Polanyian Medical Epistemology

The purpose of this paper is to introduce an approach to clinical practice aiming to resolve the dilemma of choosing between a mechanistic and a phenomenological model. The approach is an extension of Polanyi's epistemology. Michael Polanyi (1891–1976), devised an epistemology of science which overcomes the problem of detachment, inherent in the mechanistic approach, and resolves the problem of subjectivity troubling phenomenologists. His epistemology is known as Personal Knowledge. An extension of this epistemology, a Neo-Polanyian proposal, is offered as a more successful model for clinical practice than previous suggestions addressing the dilemma.     

A Meta‐Analysis of the ELM's Argument Quality × Processing Type Predictions

One of the key dual‐process model predictions is that audiences will be more persuaded by strong persuasive arguments than weak and that this difference in persuasiveness will be larger when they are processing centrally rather than peripherally. A series of meta‐analyses were conducted (k = 134) to assess this claim and explore moderators. The data were generally consistent with the hypothesized interaction. The effects tended to be smaller when pre‐post designs were used rather than post‐test only. Assessments of the strength of the inductions did not tend to be associated with the size of the effects associated with those inductions.     

Explaining the Durable Effects of Verbal Person‐Centered Supportive Communication: Indirect Effects or Invisible Support?

Researchers have documented benefits from receiving supportive messages high in verbal person‐centeredness (VPC), but the processes through which such messages produce longitudinal effects remain unclear. This study evaluated two perspectives (i.e., indirect effects and invisible support) that address how supportive messages can produce durable effects and tested sex differences in those effects. 255 dyads completed a laboratory‐based interaction in which level of VPC and sex of the support provider were manipulated. 3 weeks later, support receivers evaluated the conversations and their stressor. Variations in VPC produced durable effects both when messages were positively evaluated initially and when they were evaluated as supportive by providers or third‐party observers but judged low in supportiveness by receivers. Provider sex moderated the results.     

人格特质与外显自尊和内隐自尊的关系

自尊被认为与人格特质之间存在紧密的联系。近年来社会认知研究领域发现,在传统“外显自尊”以外,个体还存在一个“内隐自尊”结构。由于中国人格结构与西方“大五”人格结构存在系统性的差异,本研究试图考察在中国文化下个体的人格特质与自尊水平之间的关系。结果发现,外显自尊主要与中国人人格结构中的“自我指向”的人格特点关系紧密;内隐自尊作为一个独立于外显自尊的内隐态度结构,与各个人格特质不存在显著的相关     

The Interactive Systems Framework for Dissemination and Implementation: Enhancing the Opportunity for Implementation Science

This article reflects on the progress made in the development of the Interactive Systems Framework (ISF) for Dissemination and Implementation in recent years. Considering the ISF in the context of the broader field of dissemination and implementation research, the author offers commentary on the strengths of the framework and opportunities for further expansion and refinement.     

The Five Factor Model in personnel selection: Measurement equivalence between applicant and non-applicant groups

This study investigates the measurement equivalence of a Five Factor measure of personality between applicant and non-applicant samples. The Big Five Questionnaire-2 was administered in two samples: A group of volunteers (n = 903), who completed the test for research purposes, and a group applying for jobs, who completed the test during hiring procedures (n = 401). Multiple-group confirmatory factor analysis on item composites was conducted to test for the equivalence of factor covariance and mean structures of twenty facets of the Five Factors. Item-level analyses were carried out through analysis of variance to further examine the issue of measurement invariance. Findings suggested that personality facets have the same measurement unit across applicants and non-applicants, while a lack of equivalence was found in the origin of the scales. Similar results were found at the item-level. Implications for personality assessment are advanced and discussed.     

高中英语学习策略量表编制与Rasch多维度分析

当前,语言学习策略已成为我国中学英语教学的一项重要目标。该研究通过科学设计的问卷,调查了406名高三学生的英语学习策略掌握情况,并进一步分三个分维度、十个子维度,进行了深入的分析。研究表明,问卷提供的多维度的详细信息可以帮助详细了解学生对策略的掌握情况,从而进行有针对性的指导。同时,问卷的设计,维度划分等,也为研究人员,高中英语学习策略的教材编写和教学提供可靠有用的参考。     

4～8年级学生几何类比推理问题解决认知诊断

认知诊断是一种新的测量范式,有助于人们更好地了解人类内部心理活动规律及其加工机制,实现对个体认知强项和弱项的诊断评估,该研究采用HO-DINA对4～8年级学生的几何类比推理能力进行诊断评估。结果表明:1)4～8年级的学生对几何类比推理问题的掌握情况比较良好,其中对属性A1和A4掌握的比较理想,对属性A2掌握的比较差。同时七个认知属性存在年级差异,六年级是学生几何类比推理能力发展的最快时期;2)学生所犯的认知错误主要以"0000000"、"1111011"、"0001000"、"1011111"和"1001110"五种认知错误为主,占总认知错误的44.55%,而这些错误与属性A2和A5有关。     

What drives tourists to adopt self-driving cars?

Autonomous vehicles are expected to shape mobility and tourism. This paper introduces an extension to the TAM to better understand the adoption of self-driving cars for tourism purposes. The new model (TAMAT) confirms some under-explored impacts of tourism-related variables, such as Openness to Tourism Usage and Unusual Surroundings, and the Adherence to Conventional Use on the Intention to Use self-driving cars. The research is based on online data collection (n = 646) and applies Covariance-Based Structural Equation Modelling. Findings indicate that the opportunity of using self-driving cars for tourism and unusual environments has a positive impact, while adherence to conventional car use has a negative impact on the intention to use self-driving cars.     

Why would people want to travel more with automated cars?

The use of automated vehicles (AVs) may enable drivers to focus on non-driving related activities while travelling and reduce the unwanted efforts of the driving task. This is expected to make using a car more attractive, or at least less unpleasant compared to manually driven vehicles. Consequently, the number and length of car trips may increase. The aim of this study was to identify the main contributors to travelling more by AV.We analysed the L3Pilot project’s pilot site questionnaire data from 359 respondents who had ridden in a conditionally automated car (SAE level 3) either as a driver or as a passenger. The questionnaire queried the respondents’ user experience with the automated driving function, current barriers of travelling by car, previous experience with advanced driving assistance systems, and general priorities in travelling. The answers to these questions were used to predict willingness to travel more or longer trips by AV, and to use AVs on currently undertaken trips. The most predictive subset of variables was identified using Bayesian cumulative ordinal regression with a shrinkage prior (regularised horseshoe).The current study found that conditionally automated cars have a substantial potential to increase travelling by car once they become available. Willingness to perform leisure activities during automated driving, experienced usefulness of the system, and unmet travel needs, which AVs could address by making travelling easier, were the main contributors to expecting to travel more by AV. For using AVs on current trips, leisure activities, trust in AVs, satisfaction with the system, and traffic jams as barriers to current car use were important contributors. In other words, perceived usefulness motivated travelling more by AV and using AVs on current trips, but also other factors were important for using them on current trips. This suggests that one way to limit the growth of traffic with private AVs could be to address currently unmet travel needs with alternative, more sustainable travel modes.