复杂决策规则下MIRT的分类准确性和分类一致性

介绍多维项目反应理论模型下分类准确性和分类一致性指标, 采用蒙特卡罗方法实现复杂决策规则下指标计算, 并从数学上证明分类准确性指标两类估计量在均匀先验和相同决策规则条件下依概率收敛于同一真值。研究结果表明：分类准确性指标可以比较准确地评价分类结果的准确性; 分类一致性指标可以较好地评价分类结果的重测一致性; 在一定条件下, 基于能力量尺的指标优于基于原始总分的指标; 纵使测验维度增加, 估计精度仍比较好; 随着测验长度和维度间相关增加, 分类准确性和分类一致性更高。指标可以用来评价标准参照测验或计算机分类测验的多种决策规则下分类信度和效度。     

Between pink and blue: a multi-dimensional family approach to gender nonconforming children and their families

Families of gender nonconforming children need to negotiate the interactions between two gender systems: a rigid gender binary imported from familial, social, and cultural experiences and a fluid gender spectrum articulated by their child. This article reviews parental reactions to nonconforming gender developments and poses that the parental mandates of protection and acceptance are problematized by the difference of gender norms between the child and the family, as well as the child and the environment. Through multiple therapeutic modalities-parental coaching and education, parent support group, and child and family therapy-the author illustrates interventions supporting both parents and prepubescent children in their negotiation of safety, connection, and fluidity. Case vignettes illustrate the method in action.     

Fractal dynamics of heart beat interval fluctuations in corticotropin-releasing factor receptor subtype 2 deficient mice

Non-linear fractal analysis of cardiac interbeat time series was performed in corticotropin-releasing factor receptor subtype 2 (CRFR2) deficient mice. Heart rate dynamics in mice constitutes a self-similar, scale-invariant, random fractal process with persistent intrinsic long-range correlations and inverse power-law properties. We hypothesized that the sustained tachycardic response elicited by intraperitoneal (ip) injection of human/rat CRF (h/rCRF) is mediated by CRFR2. In wildtype control animals, heart rate was increased to about maximum levels (~ 750 bpm) while in CRFR2-deficient animals baseline values were retained (~ 580 bpm). The tachycardic response elicited by ip-application is mediated by CRFR2 and is interpreted to result from sympathetic stimulation. However, the functional integrity of CRFR2 would not present a prerequisite to maintaining the responsiveness and resiliency of cardiac control to external environmental perturbations experimentally induced by extrinsic ip-application of h/rCRF or under physiological conditions that may be associated with an increased peripheral release of CRF. Under stressful physiological conditions achieved by novelty exposure, CRFR2 is not involved in the cardiodynamic regulation to external short-term stress. While the hypothesis of involvement of CRFR2 in cardiac regulation upon pharmacological stimulation cannot be rejected, the present findings suggest that the mechanism of action is by sympathetic stimulation, but would not unambiguously allow to draw any conclusions as to the physiological role of CRFR2 in the control of cardiac dynamics.     

Prediction and classification in nonlinear data analysis: Something old,something new,something borrowed,something blue

Prediction and classification are two very active areas in modern data analysis. In this paper, prediction with nonlinear optimal scaling transformations of the variables is reviewed, and extended to the use of multiple additive components, much in the spirit of statistical learning techniques that are currently popular, among other areas, in data mining. Also, a classification/clustering method is described that is particularly suitable for analyzing attribute-value data from systems biology (genomics, proteomics, and metabolomics), and which is able to detect groups of objects that have similar values on small subsets of the attributes.This article is based on the Presidential Address Jacqueline Meulman gave on July 9, 2003 at the 68th Annual Meeting of the Psychometric Society held near Cagliari, Italy on the island of Sardinia.—Editor     

两种新的多维计算机化分类测验终止规则

计算机化分类测验(Computerized Classification Testing, CCT)由于具备分类的功能, 目前在职业资格考试、健康与护理问卷等以分类为目的的测验中得到广泛应用。作为CCT的重要组成部分, 终止规则不仅决定测验停止的条件而且直接影响分类准确率及测验效率。然而, 目前少有研究对多维CCT (Mulitidimensional CCT, MCCT)的终止规则进行探索。针对已有MCCT终止规则的不足, 提出两种新的MCCT终止规则(即基于马氏距离的多维序贯似然比规则Mahalanobis-SPRT和随机缩减的多维广义似然比规则M-SCGLR), 并开展模拟研究在不同实验条件下(比如, 不同的题库结构、能力维度间相关及分界函数)考查它们的表现。结果表明：(1)在使用补偿性分界函数的条件下, Mahalanobis-SPRT规则具有较高的分类精度和与同类方法相近的测验长度; (2)在几乎所有实验条件下, M-SCGLR规则不仅在测验精度上大幅优于已有的多维随机缩减规则, 而且具有较短的测验长度。     

Differentiation of international terrorism: attack as threat,means, and violence

This study examined whether international terrorism could be differentiated into different behavioural themes related to the way of using force. The sample consisted of 217 international terrorist organisations that had perpetrated five or more terrorist incidents. A non‐metric multidimensional scaling analysis revealed that all of the terrorist incidents could be assigned to one of three themes reflecting different styles of the use of force: ‘attack as threat’, ‘attack as means’, and ‘attack as violence’. In the current sample, 189 of the terrorist organisations repeated one theme in more than 50% of their series of incidents, suggesting their preference for one of the three themes. Copyright © 2008 John Wiley & Sons, Ltd.     

Language encodes geographical information

Population counts and longitude and latitude coordinates were estimated for the 50 largest cities in the United States by computational linguistic techniques and by human participants. The mathematical technique Latent Semantic Analysis applied to newspaper texts produced similarity ratings between the 50 cities that allowed for a multidimensional scaling (MDS) of these cities. MDS coordinates correlated with the actual longitude and latitude of these cities, showing that cities that are located together share similar semantic contexts. This finding was replicated using a first-order co-occurrence algorithm. The computational estimates of geographical location as well as population were akin to human estimates. These findings show that language encodes geographical information that language users in turn may use in their understanding of language and the world.     

情境模型研究中的分离与整合

情境模型概念出现后,有关情境模型研究重点解决以下两大问题：其一,情境模型不是课文基础表征;其二,情境模型具有多维结构。前者表现为情境模型与课文基础表征的分离研究,后者表现为情境模型从单维向多维的整合研究。在此基础上,研究者进一步统合情境模型研究,初步考察情境模型的实质问题。基于情境模型研究的分离与整合的趋势,情境模型的未来研究将进一步发展研究范式,深入探讨“情境模型是什么”与“情境模型的加工机制是怎么样”等问题。