A multicriteria decision framework for measuring banks' soundness around the world

In this paper, we use a sample of 894 banks from 79 countries to develop a multicriteria decision aid model, for the classification of banks into three groups on the basis of their soundness. The model is developed with the UTilités Additives DIScriminantes (UTADIS) method, through a 10-fold cross-validation procedure using six financial and four non-financial variables. The ratings of Fitch form the basis for assigning banks into the three groups. The results indicate that the asset quality (as measured by loan loss provisions), capitalization, and the market where banks operate are the most important criteria (in terms of weights) in classifying the banks. Profitability and efficiency in expenses management are also important attributes, whereas size and listing in a stock exchange are the least important ones. UTADIS achieves higher classification accuracies than discriminant analysis and ordinary logistic regression which are used for benchmarking purposes. Copyright © 2007 John Wiley & Sons, Ltd.     

Development of a Cyber/Information Technology Knowledge Test for Military Enlisted Technical Training Qualification

An Armed Services Vocational Aptitude Battery (ASVAB) Review Panel, with expertise in personnel selection, job classification, psychometrics, and cognitive psychology developed recommendations for changes to the military enlistment test battery. One recommendation was to develop and evaluate a test of cyber/information and communications technology literacy to supplement current ASVAB content. This article summarizes a multiphased Cyber Test development process: (a) a review of information/computer technology literacy definitions and measures, (b) development and pilot testing of a cyber knowledge measure, (c) validation of test scores against final school grades (FSGs) for selected technical training courses, (d) development of an operational reporting metric and subgroup norms, and (e) examination of construct validity. Results indicate the Cyber Test has predictive validity versus technical training school grades and incremental validity comparable to the ASVAB technical knowledge tests when used with the ASVAB Armed Forces Qualification Test (AFQT) verbal/math composite as a baseline.     

Evaluation of Tests of Perceptual Speed/Accuracy and Spatial Ability for Use in Military Occupational Classification

With the exception of Assembling Objects (AO), a spatial ability test used only by the Navy in enlisted occupational classification, the Armed Services Vocational Aptitude Battery (ASVAB) is academic and knowledge-based, somewhat limiting its utility for occupational classification. This article presents the case for integrating the AO test into military classification composites and for expanding the breadth of ASVAB content by including a former ASVAB speed/accuracy test, Coding Speed (CS). Empirical evidence is presented that shows AO and CS (a) increment the validity of the ASVAB in predicting training grades for a broad array of occupations, (b) reduce adverse impact defined as test score barriers for women and minorities, and (c) improve classification in terms of matching recruits to occupations. Some cognitive theory is presented to support AO and CS, as well as nonverbal reasoning and working memory tests for inclusion in or adjuncts to the ASVAB.     

治疼必需知痛

疼痛是人体可感知所有伤害性刺激中最难以忍受的恶性刺激,医学范畴下的疼痛是指组织损伤的前提下产生的＂躯体的不愉快的疼感觉＂加上＂与之相匹配的痛苦情感体验＂两方面内容。长期以来我们的医疗行为＂过多关注组织损伤对疼的调控、忽视了痛苦体验的人文关怀＂制约了我们服务层次。新的生物医学模式下诊疗工作强调细化疼痛分类、躯体与心理并重,以专科诊疗思路指导临床,提高医务人员对病痛的理解、引导供需匹配式的人性医疗服务是时代发展务实之举。     

Heuristic cognitive diagnosis when the Q‐matrix is unknown

Cognitive diagnosis models of educational test performance rely on a binary Q‐matrix that specifies the associations between individual test items and the cognitive attributes (skills) required to answer those items correctly. Current methods for fitting cognitive diagnosis models to educational test data and assigning examinees to proficiency classes are based on parametric estimation methods such as expectation maximization (EM) and Markov chain Monte Carlo (MCMC) that frequently encounter difficulties in practical applications. In response to these difficulties, non‐parametric classification techniques (cluster analysis) have been proposed as heuristic alternatives to parametric procedures. These non‐parametric classification techniques first aggregate each examinee's test item scores into a profile of attribute sum scores, which then serve as the basis for clustering examinees into proficiency classes. Like the parametric procedures, the non‐parametric classification techniques require that the Q‐matrix underlying a given test be known. Unfortunately, in practice, the Q‐matrix for most tests is not known and must be estimated to specify the associations between items and attributes, risking a misspecified Q‐matrix that may then result in the incorrect classification of examinees. This paper demonstrates that clustering examinees into proficiency classes based on their item scores rather than on their attribute sum‐score profiles does not require knowledge of the Q‐matrix, and results in a more accurate classification of examinees.     

Procedural learning: A developmental study of motor sequence learning and probabilistic classification learning in school-aged children

In this study, we investigated motor and cognitive procedural learning in typically developing children aged 8–12 years with a serial reaction time (SRT) task and a probabilistic classification learning (PCL) task. The aims were to replicate and extend the results of previous SRT studies, to investigate PCL in school-aged children, to explore the contribution of declarative knowledge to SRT and PCL performance, to explore the strategies used by children in the PCL task via a mathematical model, and to see whether performances obtained in motor and cognitive tasks correlated. The results showed similar learning effects in the three age groups in the SRT and in the first half of the PCL tasks. Participants did not develop explicit knowledge in the SRT task whereas declarative knowledge of the cue–outcome associations correlated with the performances in the second half of the PCL task, suggesting a participation of explicit knowledge after some time of exposure in PCL. An increasing proportion of the optimal strategy use with increasing age was observed in the PCL task. Finally, no correlation appeared between cognitive and motor performance. In conclusion, we extended the hypothesis of age invariance from motor to cognitive procedural learning, which had not been done previously. The ability to adopt more efficient learning strategies with age may rely on the maturation of the fronto-striatal loops. The lack of correlation between performance in the SRT task and the first part of the PCL task suggests dissociable developmental trajectories within the procedural memory system.     

非参数认知诊断方法下诊断结果的概率化表征

非参数认知诊断分类方法非常适合课堂评估,其诊断结果采用0-1形式而缺乏概率化表征,不能精细地区分被试属性掌握程度的差异或变化,还缺乏可用于评价真实测验分类结果的信度和效度指标。要刻画被试属性掌握程度的差异,首要的问题是要为非参数认知诊断方法提供一种可以量化属性掌握概率的方法。针对此问题,基于二项分布和玻尔兹曼分布提出非参数认知诊断方法下诊断结果的概率化表征方法,并用于构建分类准确性和分类一致性指标。模拟研究与实测数据分析结果显示：概率化表征方法与非参数认知诊断方法的分类结果高度一致;概率化表征方法与认知诊断模型所得的属性掌握概率十分接近;概率化表征方法所得的属性（模式）掌握概率可用于计算属性（模式）分类准确性和分类一致性指标,在实际测验情景下可作为信度和效度指标,评价诊断结果的重测一致率和判准率。     

Measuring psychotherapy outcomes in routine practice: Examining Slovak versions of three commonly used outcome instruments

This study examined the Slovak mutations of three outcome measures for routine practice i.e. the Clinical Outcomes in Routine Evaluation – Outcome Measure (CORE-OM), the Outcome Questionnaire – 45 (OQ-45), the Outcome Rating Scale (ORS), and one control measure the Symptom Checklist 10 Revised (SCL-10R), with regard to their concordance or differences in outcome classification of pre-post change, when used by the same patients and when the criteria used for establishing recovery and improvement status are based on the same sample. Method: Non-clinical (252) and clinical (202) samples were used for the standardisation of all instruments. A portion of the clinical participants (N?=?140) completed all measures at the end of their treatment. Results: The CORE-OM, and the SCL-10R indicated a higher number of recovered and improved clients. With regard to the pre-post differences as expressed in the effect size, the CORE-OM showed the highest pre-post difference (pre-post effect size .98), followed by the ORS (.87), the SCL-10R (.83) and finally with the OQ-45 (.69). Conclusion: Even very similar instruments developed on the basis of similar theoretical conceptualisations and empirical findings may report different pre-post outcomes.     

Types of self-reported anxiety in outpatients with DSM-III-R anxiety disorders1

To ascertain whether psychiatric outpatients can be classified into distinct types according to their self-reported symptoms of anxiety, the Beck Anxiety Inventory (BAI) was administered to 655 outpatients diagnosed with DSM-III-R anxiety disorders. Cluster analysis identified three internally consistent subscales representing subjective, somatic, and panic symptoms. Further analysis revealed six types of outpatients reflecting below average, panic-subjective, low subjective, low somatic-panic, above average, and subjective-somatic anxiety. The types were differentiated with respect to age, primary diagnosis, clinically rated anxiety, and both self-reported and clinically rated depression.