The assessment of fitness to drive after a stroke: the Nordic Stroke Driver Screening Assessment

The British Stroke Driver Screening Assessment (SDSA) is a set of four simple cognitive tests to evaluate driving fitness in stroke patients. To evaluate its usefulness in a Scandinavian context, we adapted the tests and assessed a group of 97 stroke patients from Sweden and Norway, using a driving test as the criterion. When results were calculated according to the original method, based on a discriminant function, less than 70% of the participants were correctly classified. To improve the predictive potential, a new discriminant analysis was performed, using the scores of a subsample of 49 patients, and validated on the remaining 48 participants. In total, 78% of the patients were correctly classified, but specificity was superior to sensitivity. We conclude that the Nordic version of the SDSA is a useful instrument, provided that test scores are interpreted in a balanced manner, taking into account the possibility of compensatory traffic behavior.     

Fitting cross-classification table data to models when observations are subject to classification error

Individuals are classified in a cross-classification table where two behavioral observations on each individual determine the classification. The problem is to test certain structural models assumed to underlie the cross-classified observations. A minimum chi-square test procedure is proposed.     

Activity experiences shape perceived fitness trajectories: Results from a 6-month randomized controlled trial in older women

ABSTRACT

In this study we addressed the subjective benefits of activity interventions that were designed to improve cognitive fitness in old age. Two hundred and fifty-nine women (aged 70–93 years) were randomized to participate in an exercise or a computer course or a control condition for 6 months. Subjective ratings of the perceived change of cognitive and physical fitness components were captured before, during, after the intervention interval, and at a 10-month follow-up. Positive and negative affect levels and objective cognitive fitness parameters served as possible covariates. Multilevel modeling revealed that the computer group rated memory and concentration as having improved at 4 months and again at 6 months. The exercise group, in contrast, perceived physical capacities as maintained or improved. The characteristics of the activity experience seem to determine the perceived fitness changes. We conclude that actual learning experiences improve one's self-concept of abilities.     

Event Centrality,Posttraumatic Cognitions,and the Experience of Posttraumatic Growth

This study tested the extent to which negative appraisals following traumatic events and the centrality of traumatic events predicted posttraumatic growth (PTG; Tedeschi &; Calhoun, 1996 Tedeschi, R. G. and Calhoun, L. G. 1996. The posttraumatic growth inventory: Measuring the positive legacy of trauma. Journal of Traumatic Stress, 9: 76–80. [Crossref] , [Google Scholar]). Participants were 405 undergraduates at a Midwestern university who reported experiencing at least one traumatic event. Regression analyses indicated that the centrality of the event was a significant predictor for all five domains of PTG. Negative appraisals of the world were related to some domains of growth, but neither negative cognitions about the self nor self-blame was a significant predictor of any of the growth domains. Interpretation of these results is considered in light of the consistencies with Janoff-Bulman's (2004) Janoff-Bulman, R. 2004. Posttraumatic growth: Three explanatory models. Psychological Inquiry, 15: 30–34. [Crossref], [Web of Science ®] , [Google Scholar] explanatory models of development of PTG.     

A technique based on trade‐off maps to visualise and analyse relationships between objectives in optimisation problems

Understanding the relationships between objectives in a multiobjective optimisation problem is important for developing tailored and efficient solving techniques. In particular, when tackling combinatorial optimisation problems with many objectives, that arise in real‐world logistic scenarios, better support for the decision maker can be achieved through better understanding of the often complex fitness landscape. This paper makes a contribution in this direction by presenting a technique that allows a visualisation and analysis of the local and global relationships between objectives in optimisation problems with many objectives. The proposed technique uses four steps: First, the global pairwise relationships are analysed using the Kendall correlation method; then, the ranges of the values found on the given Pareto front are estimated and assessed; next, these ranges are used to plot a map using Gray code, similar to Karnaugh maps, that has the ability to highlight the trade‐offs between multiple objectives; and finally, local relationships are identified using scatter plots. Experiments are presented for three combinatorial optimisation problems: multiobjective multidimensional knapsack problem, multiobjective nurse scheduling problem, and multiobjective vehicle routing problem with time windows . Results show that the proposed technique helps in the gaining of insights into the problem difficulty arising from the relationships between objectives.     

学前儿童“朴素生物学理论”发展的实验研究──对“生长”现象的认知发展

从学前儿童对生物生长现象的认知入手探查了学前儿童朴素生物学理论的发展,探查了发展中的个别差异和个体内部差异。研究发现：（１）学前儿童在生长维度上逐渐形成了朴素生物学理论;（２）不同教育条件下的儿童对生长的认知存在差异;学前早期儿童的认知成绩更多地受实验任务变式的影响,而学前晚期儿童的个体内部差异则较小。     

面向“为学习而测评”的纵向认知诊断模型

基于“为学习而测评”的理念,以促进学生学习为目的,客观量化学习现状并提供诊断反馈的测评模式日益受到重视。相比于横断认识诊断测评,纵向认知诊断测评更有利于实现促进学生发展的目标。为使国内学者系统性地了解纵向认知诊断模型,首先,依据建模逻辑将已有纵向认知诊断模型划分为基于潜在转换分析的和基于高阶潜在结构模型的两类,并逐一介绍和说明两类模型的理论基础和应用情景;然后,通过模拟研究为读者呈现如何使用纵向认知诊断模型进行数据分析及如何解读相应的诊断结果。最后,提炼出四个可进一步研究的议题。     

一种认知分析心理治疗模式对抑郁症患者的干预

为了探索基于"自我"与感受、需要、能力和角色交互相整合的认知分析心理治疗模式及其在抑郁症患者治疗中的效果,对7例门诊和8例住院抑郁症患者进行心理治疗,采用HAMD和CGI-GI评估治疗的效果,并追踪治疗1年后患者的社会功能及健康状况。所有患者治疗前后HAMD分值差异显著,配对t=8.08(P0.01),门诊与住院治疗患者HAMD分值和CGI-GI分值均无明显差异(P0.05),但产生治疗有效的平均时间差异显著,住院者(11.6±3.6)天,门诊者(60.6±25.0)天(P0.01)。该心理治疗模型能够整合到抑郁症患者的药物治疗中,产生整体治疗效果。     

认知风格分析测验(CSA)修订及大学生样本的划界尝试

以大学生为对象,对“认知风格分析测验”(Cognitive Style Analysis,CSA)进行了项目分析、信度、效度检验等一系列研究,并通过大学生样本划界尝试。项目的区分度检验表明测验中所有项目都具有较好的区分度,两个维度间的相关分析进一步确证了CSA的结构效度。进一步的信度分析表明CSA具备可接受的内部一致性信度和重测信度。跨文化比较结果表明,我国大学生认知风格的划界与英国常模具有显著差异。     

关于高校多媒体教学影响因素的建模与分析

基于相关认知理论和前人研究结果建立了多媒体教学环境下教师授课、学生学习和学习绩效因素结构模型。采用问卷和量表法获取在杭6所高校的多媒体教学实践数据,验证性因素分析的结果证实了3个假设模型的适宜性和合理性。文章以所建的3个模型为框架,用多媒体学习认知理论和认知负荷理论分析了当前高校多媒体教学状况,并为高校多媒体教学发展提出了相应的心理学建议。     

数学建模的认知差异研究

运用口语报告分析方法和深度访谈方法,对五所高校数学与应用数学(师范)专业15名数学建模竞赛获奖学生(专家被试)与15名未参赛学生(新手被试)数学建模的认知差异进行了研究,发现专家被试与新手被试在数学建模的问题表征、策略运用、思路特点、建模结果及解题效率等方面存在显著差异.     

Posttraumatic growth in survivors of a natural disaster: the role of social axioms of religiosity,reward for application,and social cynicism

The positive psychology movement has impelled trauma research to focus not only on debilitating aspects of trauma experiences, but also on its positive outcomes such as posttraumatic growth (PTG). We investigated how the social themes of religiosity, reward for application, and social cynicism, as part of the individual’s distal culture, contribute to PTG among natural disaster survivors. We tested a model wherein social axioms of religiosity, reward for application, and social cynicism predict PTG, and their relationships are mediated by adaptive cognitive processing of trauma. The model was tested in a sample of Filipino survivors of typhoon Haiyan using structural equation modeling. The results support the proposed model except for the influence of social cynicism. The findings suggest that generalized beliefs about the social world play an important role in the development of PTG, and must be considered to understand how growth occurs in the aftermath of a traumatic event.     

A general proof of consistency of heuristic classification for cognitive diagnosis models

The Asymptotic Classification Theory of Cognitive Diagnosis (Chiu et al., 2009, Psychometrika, 74, 633–665) determined the conditions that cognitive diagnosis models must satisfy so that the correct assignment of examinees to proficiency classes is guaranteed when non‐parametric classification methods are used. These conditions have only been proven for the Deterministic Input Noisy Output AND gate model. For other cognitive diagnosis models, no theoretical legitimization exists for using non‐parametric classification techniques for assigning examinees to proficiency classes. The specific statistical properties of different cognitive diagnosis models require tailored proofs of the conditions of the Asymptotic Classification Theory of Cognitive Diagnosis for each individual model – a tedious undertaking in light of the numerous models presented in the literature. In this paper a different way is presented to address this task. The unified mathematical framework of general cognitive diagnosis models is used as a theoretical basis for a general proof that under mild regularity conditions any cognitive diagnosis model is covered by the Asymptotic Classification Theory of Cognitive Diagnosis.     

Recurrent motifs as resonant attractor states in the narrative field: a testable model of archetype

At the most basic level, archetypes represented Jung's attempt to explain the phenomenon of recurrent myths and folktale motifs (Jung 1956, 1959, para. 99). But the archetype remains controversial as an explanation of recurrent motifs, as the existence of recurrent motifs does not prove that archetypes exist. Thus, the challenge for contemporary archetype theory is not merely to demonstrate that recurrent motifs exist, since that is not disputed, but to demonstrate that archetypes exist and cause recurrent motifs. The present paper proposes a new model which is unlike others in that it postulates how the archetype creates resonant motifs. This model necessarily clarifies and adapts some of Jung's seminal ideas on archetype in order to provide a working framework grounded in contemporary practice and methodologies. For the first time, a model of archetype is proposed that can be validated on empirical, rather than theoretical grounds. This is achieved by linking the archetype to the hard data of recurrent motifs rather than academic trends in other fields.     

The neuropsychological profile of vascular cognitive impairment not demented: A meta‐analysis

The most common cause of vascular cognitive impairment not demented (VCIND) is cerebral small vessel disease leading to diffuse subcortical white matter lesions. While many studies indicate that the core cognitive features of VCIND are executive dysfunction and impaired processing speed, this finding is not always consistent, and may be partially dependent on the comparison group applied. Hence, we undertook two systematic meta‐analytic reviews on neuropsychological test performance across eight cognitive domains: between VCIND and healthy controls (data from 27 studies), and between VCIND and non‐vascular mild cognitive impairment (nv‐MCI; data from 20 studies). Our quantitative synthesis of the research literature demonstrates that individuals with VCIND show weaknesses across all cognitive domains relative to healthy controls, with the greatest impairment in the domain of processing speed (Md = ?1.36), and the least affected being working memory (Md = ?.48) and visuospatial construction (Md = ?.63). When compared directly with nv‐MCI, individuals with VCIND had significantly greater deficits in processing speed (Md = ?.55) and executive functioning (Md = ?.40), while those with nv‐MCI exhibited a greater relative deficit in delayed memory (Md = .41). Our analyses indicate that disruption to subcortical white matter tracts impairs more cognitive processes than is typically thought to be directly related to the fronto‐subcortical network. The data also suggest that differing brain aetiologies can be responsible for similar cognitive profiles. Although the findings do not evince diagnostic value, they allude to the interconnectivity of disparate cognitive processes and call for further research on the behavioural outcome of network disruption.     

The indirect effect of cognitive reserve on the relationship between age and cognition in pathological ageing: A cross-sectional retrospective study in an unselected and consecutively enrolled sample

Cognitive reserve (CR) allows individuals to maintain cognitive functionality even in the presence of pathologies. The compensation hypothesis suggests that CR plays an indirect role between age and cognitive decline, contrasting the negative effect of ageing on cognition. We test this hypothesis in an unselected and consecutively enrolled sample of memory clinic attendees (n = 134) who completed the CR Index questionnaire and three neuropsychological tests assessing global cognition (MMSE, FAB, CDT). Participants were divided into two groups based on standard diagnostic criteria (DSM-5): those who were cognitively impaired (n = 92) and those who were preserved (n = 42). A principal component analysis was used to extract a composite measure of global cognitive functioning from the three neuropsychological tests, and mediation analysis was used to examine the relationship between CR, age and global cognitive functioning in the two groups. Results revealed that: (i) age had a significant direct negative effect on the global cognitive score in both groups; (ii) the three socio-behavioural proxies of CR together suppress the direct negative relationship between age and global cognitive score in cognitively impaired patients but not in cognitively preserved participants. This study confirms the association between CR, age and cognition and allows us to validate its role in a population with cognitive impairment and extend findings to a low-to-middle educated population. These results hold important implications for public health and wellness promotion, emphasising the beneficial role of maintaining healthy and active physical, cognitive and social lifestyles.     

Sequential detection of learning in cognitive diagnosis

In order to look more closely at the many particular skills examinees utilize to answer items, cognitive diagnosis models have received much attention, and perhaps are preferable to item response models that ordinarily involve just one or a few broadly defined skills, when the objective is to hasten learning. If these fine‐grained skills can be identified, a sharpened focus on learning and remediation can be achieved. The focus here is on how to detect when learning has taken place for a particular attribute and efficiently guide a student through a sequence of items to ultimately attain mastery of all attributes while administering as few items as possible. This can be seen as a problem in sequential change‐point detection for which there is a long history and a well‐developed literature. Though some ad hoc rules for determining learning may be used, such as stopping after M consecutive items have been successfully answered, more efficient methods that are optimal under various conditions are available. The CUSUM, Shiryaev–Roberts and Shiryaev procedures can dramatically reduce the time required to detect learning while maintaining rigorous Type I error control, and they are studied in this context through simulation. Future directions for modelling and detection of learning are discussed.     

问题解决的表征态理论

问题解决的表征态理论(简称RST)认为问题解决就是问题的表征态连续、非线性的变化的过程,其中存在数据驱动和概念驱动两种方式。在问题表征态变化的过程中,问题解决者所掌握的专业知识起着重要的作用,它是问题解决者对问题情境信息进行同化的基础,也是对问题结构进行心理建构的基础。RST的假设及其推论在中学生物理问题解决过程中得到检验。     

职务分析中的不准确性来源

职务分析以人的主观判断为基础,因而容易导致结果的不准确性。该文总结了职务分析中的不准确性来源及其影响,包括职务分析者、职务分析工具以及职务分析中潜在的社会的和认知的不准确性来源,指出易于产生不准确性的职务分析方面,并探讨了职务分析不准确性和职务内真实差异的关系。在此基础上,提出了减少职务分析中社会和认知的不准确性来源的建议。