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.     

选购两难中折衷效应的发生规律

当人们置身于两难困境时,折衷策略是一个合理的解决方案。研究者分析选购两难中消费者的信息处理与折衷效应的关系。研究发现：选购两难中信息的低精致化处理更易导致折衷效应,产品涉入贡献于精致化处理从而抑制折衷效应,产品的认知相似性和情感抑制精致化处理从而促进折衷效应。研究结果表明,当消费者面对选购两难时,信息的精致化程度和心理水平影响他对于中性产品的选择。     

The role of the formal employment contract in the range and fulfilment of the psychological contract: Testing a layered model

This study investigates the employment contract (temporary vs. permanent) in relation to psychological contract content and fulfilment. The psychological contract includes employees' perceptions of their obligations and their entitlements. We hypothesize that transactional elements constitute a common core that is shared both by temporary and permanent workers. Relational elements are added to this core to show employees' and employers' loyalty, and their intentions to do more than necessary. These elements are more likely to be perceived by permanent workers as compared to temporary workers. Additionally, we suggest that relational elements are difficult to fulfil. Accordingly, we expect lower levels of perceived fulfilment for permanent workers as compared to temporary workers. Based on exchange theory, we furthermore hypothesize that these perceptions follow a similar pattern in how employees report entitlements (i.e., what they receive from the company) and reports of their own obligations (i.e., what they give in return). Results based on a seven-country sample (N _permanent = 3354; N _temporary = 1980) show that permanent workers as compared to temporary workers perceive more relational entitlements and obligations but a similar level of transactional entitlements and obligations. Thus, these results supported the idea of a layered model. The relationship between contract type and fulfilment of the psychological contract was only partly in line with expectations. Temporary workers reported higher fulfilment of entitlements and transactional obligations, but no difference was found for fulfilment of relational obligations.     

Learning what from where: Effects of spatial regularity on nonspatial sequence learning and updating

The current study examined the influence of redundant stimulus features on our ability to build and update representations of our environment. We hypothesized that our ability to process redundant spatial features would speed our ability to adapt to changing nonspatial regularities. Using a computerized version of the children's game “rock–paper–scissors”, undergraduates were instructed to win as often as possible against a computer opponent. The computer's plays were repeating sequences of five choices that were presented either with spatial regularity (i.e., “rock” would always appear on the left, “paper” in the middle, and “scissors” on the right) or without spatial regularity (i.e., the items were equally likely to appear in any of the three locations). Once participants learned a sequence, the computer switched to a different sequence without participants being informed that a switch had occurred. Redundant spatial regularity improved a participant's ability both to learn sequences of plays and to update their plays to reflect new computer sequences. Our results suggest that our perceptual system is sensitive to redundant spatial stimulus features and that this information can improve learning and updating.     

Knowledge and man

Collective Intelligence (CI) can be formalized as a specific1 computational process through the use of a molecular model of computations and mathematical logic, in terms of interacting information_molecules, which are chaotically or quasi-chaotically displacing and running natural-based inference processes in their own environment. The formal definition of Collective Intelligence as a property of a social structure of beings of any nature is surprisingly short and abstract (which is astonishing) from definitions of Life. The formal definition of Collective Intelligence proposed by the author in the last few years seems to be valid for the whole spectrum of beings, in human social structures to ants in colonies, and even for bacterial colonies. It has recently been found that the CI definition also has an engineering value. The theory of CI can also be used to better understand Evolution because it allows us to locate and relate Life and Intelligence in Evolution. Moreover, this approach presents Evolution as something more complex than can be concluded from Darwinism. Probably the most surprising fact is that a simple extrapolation of the definition of Collective Intelligence brings us to the conclusion that most probably the first elementary Collective Intelligence emerged on Earth in the "chemical soup of primeval molecules," much before Life emerged. Collective Intelligence can be defined with fewer and weaker conditions than Life requires. Perhaps the emergence of that early elementary Collective Intelligence provided the basic momentum to build Life as we now know it. Thus Evolution caused Intelligence to create Life. Our hypothesis is consistent with biochemistry theories that "primeval biochemical molecules" started to interact, "firing" the Collective Intelligence of their "elementary chemical social structure" for survival. This successful action boosted further growth of complexity in that "elementary social structure," which finally resulted in the emergence of "well-defined Life." Furthermore, it provided a self-propagating cycle of growth of individual and collective Intelligence and individual and collective Life. The Collective Intelligence of ants, wolves, humans, and so forth today is only a higher level of Collective Intelligence development. Thus the present Evolution is a computational process of unidentified complexity where Life, Intelligence, and perhaps other as yet undiscovered components play temporary roles. In this paper we provide formalization and a proposed partial proof for this hypothesis.