同事评价教师绩效的结构验证性因素分析

考察了教师绩效同事评价结果的因素结构。通过文献回顾、开放式调查、关键事件访谈和理论分析,提出了教师绩效的结构,通过验证性因素分析验证了同事评价教师绩效的结构。发现教师绩效包含6个维度,即职业道德、职务奉献、助人合作、教学效能、教学价值与师生互动,前3个维度组成关系绩效,其余维度组成任务绩效。关系绩效与任务绩效有较高的相关。     

反馈评估的局部背景依赖效应：ERP研究

人脑对反馈的评估依赖于其所处背景。但是只能依赖整体背景(整个组块的结果范围), 还是可以依赖局部背景(单个试次的结果范围)进行评估, 目前并不清楚。本研究通过获益/损失线索操纵所在试次的反馈背景, 探讨反馈评估仅依赖整体背景, 还是可延伸到局部水平。25名被试参与实验。结果发现, 背景试次间变化时, 在获益背景下, ￥0 (负反馈)比+ ￥4 (正反馈)引发更负的FRN (feedback-related negativity); 在损失背景下, - ￥4 (负反馈)比￥0 (正反馈)引发更负的FRN。这一结果说明反馈评估以某线索背景中可能的结果为参考对象, FRN的背景依赖可以延伸到局部水平。结合前人研究, 推测任务类型和反馈真实性会调节背景依赖水平。在含真实反馈的主动性任务中, FRN的背景依赖效应可延伸至局部水平。     

Meta‐Analysis of Integrated Primary and Behavioral Health Care Interventions for Treating Substance Use Among Adults

This meta‐analysis detected low effects in reducing substance use (Hedges's g = –0.11) in favor of using integrated primary and behavioral health care (IPBH) compared with treatment‐as‐usual approaches for adult patients with substance use. The impact of IPBH was limited.     

Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson’s disease

An accurate diagnosis of Parkinson’s disease by specialists involves many neurological, psychological and physical examinations. The specialists investigate a number of symptoms and signs when examining the nervous system conditions of a person. The diagnosis involves reviewing the medical history and genetic factor of the person. The recent diagnosis methodology to Parkinson’s disease relies on voice disorders analysis. This methodology entails extracting feature sets of a recorded person’s voice then utilizing a machine learning technique to identify the healthy and Parkinson’s cases from the voice. This paper attempts to improve the diagnoses of Parkinson’s disease by testing multiple feature evaluation and classification machine learning methods based on the voice disorders analysis. The aim of this paper is to find the optimal solution to the problem by (i) proposing a new Multiple Feature Evaluation Approach (MFEA) of a multi-agent system (ii) implementing five independent classification schemas which are Decision Tree, Naïve Bayes, Neural Network, Random Forests, and Support Vector Machine on the Parkinson’s diagnosis before and after applying the MFEA, and (iii) evaluating the diagnosis accuracy of the results. The methodology of the tests encompasses 10-fold cross-validation to evaluate the learning of methods and track variation in their performance. The test results show that the MFEA of the multi-agent system finds the best set of features and improves the performance of the classifiers. The average rate of improvement in the diagnostic accuracy of the classifiers are Decision Tree 10.51%, Naïve Bayes 15.22%, Neural Network 9.19%, Random Forests 12.75%, and Support Vector Machine 9.13%. These results show that the MFEA makes a significant improvement to the classifiers’ diagnosis results.     

A computational analysis of general intelligence tests for evaluating cognitive development

The progression in several cognitive tests for the same subjects at different ages provides valuable information about their cognitive development. One question that has caught recent interest is whether the same approach can be used to assess the cognitive development of artificial systems. In particular, can we assess whether the ‘fluid’ or ‘crystallised’ intelligence of an artificial cognitive system is changing during its cognitive development as a result of acquiring more concepts? In this paper, we address several IQ tests problems (odd-one-out problems, Raven’s Progressive Matrices and Thurstone’s letter series) with a general learning system that is not particularly designed on purpose to solve intelligence tests. The goal is to better understand the role of the basic cognitive operational constructs (such as identity, difference, order, counting, logic, etc.) that are needed to solve these intelligence test problems and serve as a proof-of-concept for evaluation in other developmental problems. From here, we gain some insights into the characteristics and usefulness of these tests and how careful we need to be when applying human test problems to assess the abilities and cognitive development of robots and other artificial cognitive systems.     

Using Curriculum-Based Measurements for Program Evaluation: Expanding Roles for School Psychologists

Educators increasingly need to evaluate schoolwide reform efforts; however, complex program evaluations often are not feasible in schools. Through a case example, we provide a heuristic for program evaluation that is easily replicated in schools. Criterion-referenced interpretations of schoolwide screening data were used to evaluate outcomes associated with participation in four-year-old kindergarten. Nonparametric analyses allowed for group comparisons across early literacy screening outcomes. Risk ratios demonstrated that four-year-old kindergarten participants were less likely to score “at-risk” on kindergarten and first grade screenings. The methods employed meaningfully addressed local program effectiveness questions. Further, they were easily determined and disseminated. Implications for extensions of the heuristic to other evaluation questions and data sources as well as limitations of the approach are discussed.     

The effects of colour and valence on news evaluation

Research across different fields of psychology has reported effects of colour cues on a variety of cognitive processes. Especially, the colour red has been shown to have striking influences. In the context of media reception, however, colour effects have been widely neglected so far. This study made a first step in this direction by investigating the effects of the colour red (compared with blue and grey) on the way news articles are evaluated. Two types of news were framed by a coloured border while the valence of the news content additionally varied. Based on 369 participants who read and evaluated the news articles online, we observed effects for colour cues and news valence in the absence of an interaction effect, indicating that the colour red induced approach motivation. However, only the contrast between red and grey reached statistical significance, indicating that chromatic and achromatic colours may differ in their perceived visual saliency. Overall, these results provide an important complement to previous studies and have practical implications for media researchers and producers.     

Supervisory countertransferences and impingements in evaluating readiness for graduation: Always present,routinely under‐recognized

Utilizing detailed, in‐depth material from supervisory hours from around the world (explored in End of Training Evaluation groups), this paper shows that supervisors are subject to multiple, diverse and, at times, ongoing intense countertransferences and impingements on their ability to evaluate candidates’ progress. Multiple external and internal sources of these impingements are explored. It is suggested that supervisory countertransferences and their manifestation in parallel enactments remain under‐recognized, their impact underappreciated, and the information they contain underutilized. It is argued that the recognition, containment, and effective use of the parallel process phenomena and supervisory countertransferences are essential in order to evaluate candidates’ progression and readiness to graduate. Common signals of such entanglements in the supervisor's evaluative function are identified. Three remedies, each of which provides a ‘third,’ are offered to assist supervisors in making effective use of their countertransference: self‐supervision, consultation, and institutional correctives.