多面体的一面:第二语言学习的社会化过程

第二语言学习过程是社会互动情景中的言语活动,"热"的社会化过程是第二语言学习过程的有机组成部分;形成第二语言情景下的文化心理参照系认知能力和文化适应能力是第二语言的言语能力重要内容;第二语言学习过程中的言语变异现象部分源于学习者的社会心理结构特征。     

Failure to replicate the 'work ethic" effect in pigeons

We report six unsuccessful attempts to replicate the "work ethic" phenomenon reported by Clement, Feltus, Kaiser, and Zentall (2000). In Experiments 1-5, pigeons learned two simultaneous discriminations in which the S+ and S- stimuli were obtained by pecking an initial stimulus once or multiple (20 or 40) times. Subsequent preference tests between the S+ stimuli and between the S- stimuli mostly revealed indifference, on average, between the S+ from the multiple-peck (high-effort) trials and the S+ from the one-peck (low-effort) trials, and likewise between the two respective Sstimuli. Using a slightly different procedure that permitted assessment of the relative aversiveness of low versus high effort, Experiment 6 again revealed a pattern of indifference despite showing that pigeons took considerably longer to begin pecking on high- than on low-effort trials. Our findings call into question the reliability of the original findings and the sufficiency of the hypothesized within-trial contrast mechanism to produce them.     

具有认知诊断功能的计算机化自适应测验的研究与实现

构造具有认知诊断功能的计算机化自适应测验（Computerized Adaptive Testing,CAT）,关键在于设计不同于传统CAT的选题策略。本文采用先认知诊断后估计能力的方法,在诊断阶段用状态转换图描述特定认知领域中所有知识状态及这些状态之间的联系,以图的深度优先算法为基础设计选题策略;而在能力估计精细化阶段,每个被试所测项目,不仅与其能力估计值相匹配,且只与其所掌握的属性相关。本文采用蒙特卡罗模拟针对三种不同的属性结构进行试验,结果良好     

桡骨小头粉碎性骨折的两种治疗方法比较分析

分析比较切开复位内固定和人工桡骨小头置换方法治疗桡骨小头粉碎性骨折（MasonⅢ型）的临床疗效。回顾分析2012年10月～2014年3月收治的24例桡骨小头粉碎性骨折（MasonⅢ型）的临床资料,其中切开复位内固定治疗17例;桡骨小头置换7例,平均随访12个月（6个月～18个月）。根据Broberg Morrey评分系统以及术后影像进行评价比较,同时比较两组住院天数以及费用。结果评价比较显示两者疗效均佳,术后两者活动度和功能评分相近,两组住院天数相近,内固定组费用更低。桡骨小头粉碎性骨折须尽早进行解剖复住功能重建,切开复位内固定和桡骨小头置换疗效相当。     

The perfectionism of Nussbaum's adaptive preferences

Although the problem of adaptiveness plays an important motivating role in her work on human capabilities, Martha Nussbaum never gives a clear account of the controversial concept of adaptive preferences on which she relies. In this paper, I aim both to reconstruct the most plausible account of the concept that may be attributed to Nussbaum and to provide a critical appraisal of that account. Although her broader work on the capabilities approach moves progressively towards political liberalism as time passes, I aim to show that her account of adaptive preferences continues to maintain her earlier commitment to perfectionism about the good. I then distinguish between two obligatory kinds of respect for persons, which I call, respectively, primary and secondary recognition respect. This distinction allows us to see that her perfectionist account of adaptive preferences allows her to show persons primary but not secondary recognition respect. Ultimately, I claim that an acceptable account of adaptive preferences must succeed in showing persons both types of respect. I conclude with some preliminary remarks on what such an account might look like.     

A Systematic Review and Psychometric Evaluation of Adaptive Behavior Scales and Recommendations for Practice

Adaptive behavior scales are vital in assessing children and adolescents who experience a range of disabling conditions in school settings. This article presents the results of an evaluation of the design characteristics, norming, scale characteristics, reliability and validity evidence, and bias identification studies supporting 14 norm-referenced, informant-based interviews and rating scales designed to measure adaptive behaviors. To derive these results, the manuals for each of these scales were reviewed using a standardized coding procedure, and information about each scale was double-coded by reviewers. Findings reveal that several evidence-based adaptive behavior scales are available to school psychologists. Concluding recommendations address selection and use of adaptive behavior scales as part of a comprehensive assessment, using the optimal methods of administration of adaptive behavior scales, and interpreting resultant scores that have demonstrated the highest levels of reliability and the largest body of validity evidence.     

Prediction of true test scores from observed item scores and ancillary data

In many educational tests which involve constructed responses, a traditional test score is obtained by adding together item scores obtained through holistic scoring by trained human raters. For example, this practice was used until 2008 in the case of GRE^®General Analytical Writing and until 2009 in the case of TOEFL^® iBT Writing. With use of natural language processing, it is possible to obtain additional information concerning item responses from computer programs such as e‐rater^®. In addition, available information relevant to examinee performance may include scores on related tests. We suggest application of standard results from classical test theory to the available data to obtain best linear predictors of true traditional test scores. In performing such analysis, we require estimation of variances and covariances of measurement errors, a task which can be quite difficult in the case of tests with limited numbers of items and with multiple measurements per item. As a consequence, a new estimation method is suggested based on samples of examinees who have taken an assessment more than once. Such samples are typically not random samples of the general population of examinees, so that we apply statistical adjustment methods to obtain the needed estimated variances and covariances of measurement errors. To examine practical implications of the suggested methods of analysis, applications are made to GRE General Analytical Writing and TOEFL iBT Writing. Results obtained indicate that substantial improvements are possible both in terms of reliability of scoring and in terms of assessment reliability.     

Behavioral variability in an evolutionary theory of behavior dynamics

McDowell’s evolutionary theory of behavior dynamics (McDowell, 2004) instantiates populations of behaviors (abstractly represented by integers) that evolve under the selection pressure of the environment in the form of positive reinforcement. Each generation gives rise to the next via low‐level Darwinian processes of selection, recombination, and mutation. The emergent patterns can be analyzed and compared to those produced by biological organisms. The purpose of this project was to explore the effects of high mutation rates on behavioral variability in environments that arranged different reinforcer rates and magnitudes. Behavioral variability increased with the rate of mutation. High reinforcer rates and magnitudes reduced these effects; low reinforcer rates and magnitudes augmented them. These results are in agreement with live‐organism research on behavioral variability. Various combinations of mutation rates, reinforcer rates, and reinforcer magnitudes produced similar high‐level outcomes (equifinality). These findings suggest that the independent variables that describe an experimental condition interact; that is, they do not influence behavior independently. These conclusions have implications for the interpretation of high levels of variability, mathematical undermatching, and the matching theory. The last part of the discussion centers on a potential biological counterpart for the rate of mutation, namely spontaneous fluctuations in the brain's default mode network.     

On initial item selection in cognitive diagnostic computerized adaptive testing

There has recently been much interest in computerized adaptive testing (CAT) for cognitive diagnosis. While there exist various item selection criteria and different asymptotically optimal designs, these are mostly constructed based on the asymptotic theory assuming the test length goes to infinity. In practice, with limited test lengths, the desired asymptotic optimality may not always apply, and there are few studies in the literature concerning the optimal design of finite items. Related questions, such as how many items we need in order to be able to identify the attribute pattern of an examinee and what types of initial items provide the optimal classification results, are still open. This paper aims to answer these questions by providing non‐asymptotic theory of the optimal selection of initial items in cognitive diagnostic CAT. In particular, for the optimal design, we provide necessary and sufficient conditions for the Q ‐matrix structure of the initial items. The theoretical development is suitable for a general family of cognitive diagnostic models. The results not only provide a guideline for the design of optimal item selection procedures, but also may be applied to guide item bank construction.