A note on the expected value of the Rand index

Two expectations of the adjusted Rand index (ARI) are compared. It is shown that the expectation derived by Morey and Agresti (1984, Educational and Psychological Measurement, 44, 33) under the multinomial distribution to approximate the exact expectation from the hypergeometric distribution (Hubert & Arabie, 1985, Journal of Classification, 2, 193) provides a poor approximation, and, in some cases, the difference between the two expectations can increase with the sample size. Proofs concerning the minimum and maximum difference between the two expectations are provided, and it is shown through simulation that the ARI can differ significantly depending on which expectation is used. Furthermore, when compared in a hypothesis testing framework, multinomial approximation overly favours the null hypothesis.     

On the Computation of the RMSEA and CFI from the Mean-And-Variance Corrected Test Statistic with Nonnormal Data in SEM

A new type of nonnormality correction to the RMSEA has recently been developed, which has several advantages over existing corrections. In particular, the new correction adjusts the sample estimate of the RMSEA for the inflation due to nonnormality, while leaving its population value unchanged, so that established cutoff criteria can still be used to judge the degree of approximate fit. A confidence interval (CI) for the new robust RMSEA based on the mean-corrected (“Satorra-Bentler”) test statistic has also been proposed. Follow up work has provided the same type of nonnormality correction for the CFI (Brosseau-Liard & Savalei, 2014). These developments have recently been implemented in lavaan. This note has three goals: a) to show how to compute the new robust RMSEA and CFI from the mean-and-variance corrected test statistic; b) to offer a new CI for the robust RMSEA based on the mean-and-variance corrected test statistic; and c) to caution that the logic of the new nonnormality corrections to RMSEA and CFI is most appropriate for the maximum likelihood (ML) estimator, and cannot easily be generalized to the most commonly used categorical data estimators.     

CAT中结合贝叶斯方法与序贯监测程序的题库质量监控技术

Zhang(2013)提出了序贯监测程序(SMP)用以检测CAT中的题目在作答过程中是否发生泄漏。然而,该方法会出现虚报且未关注在题目泄漏后,对能力估计精度产生的影响。本研究在SMP基础上引入个人拟合指标,提出SMP_PFI方法,拟在给定的置信度上核实被SMP标记的题目是否真正泄漏,并探查SMP_PFI方法对能力估计精度与被封存题目数量关系的影响。实验结果表明：新方法能够有效降低SMP单独运行时的一类错误。通过控制CPFI值能够平衡能力估计精度与被封存题目数量之间的关系。     

异常反应模式的识别和分类

通过对Drasgow等人的个人适合指标l2公式的再分解,发现该指标也属于残差型类的指标。特别是和Tatsuoka的广义个人适合指标ξ指标具有类似的数学结构,除符号相反外,不同之处仅是公式中加权项。其次,该研究定义了任意两个异常反应对象的类似度,在此基础上试用多维标度法对异常反应模式进行再分类。结果说明分类是有效、实用的。     

社区老年人心理健康评价模式研究

在已有研究证据和理论框架基础上,本文对社区老年人心理健康状况(PWB)的理论构念及其多指标评价模型进行实证研究。验证性因素分析表明,从正性情感、负性情感摆脱、愿望与实际所得的符合程度以及自尊感四个核心领域对PWB进行综合评价的模型与社区老年人(N=220)测评数据的拟合度良好。研究结果也表明,根据该模型而建立的量表具有符合心理测量学要求的信度和效度,能够对社区老年人的心理健康状况进行有效评价,并可用于老年心理疾患的筛查。     

The impact of weight, sex, and race/ethnicity on body dissatisfaction among urban children

The purpose of the current study was to examine the relative contributions of weight status, race/ethnicity, sex, and age on body dissatisfaction in a large group of diverse children. Participants were 4th–6th graders (N = 1212) in ten inner-city schools who participated in an obesity prevention study previously published. Children completed the body dissatisfaction subscale of the Eating Disorder Inventory-2 (EDI-2), and weight status was assessed by measured weights and heights. Multiple regression analyses were conducted. Relative weight status was the strongest predictor of body dissatisfaction, followed by race/ethnicity, and sex. Body dissatisfaction was greatest in obese, Asian, and female children. Overall, results indicated that children's body dissatisfaction varies based on relative weight status, as well as race/ethnicity and sex among urban children. Results highlight the strong need for additional research so that more definitive conclusions may be drawn regarding the development of body image among diverse groups of children.     

高血压左室肥厚的QT离散度及左室Tei指数的关系探讨

心脏是最常见的高血压损伤靶器官,首先引起左心室肥厚,然后导致心功能下降,并可导致心律失常。高血压患者中约有1/3会出现左室肥厚（LVH）,可致心血管病事件发病率增加,病死率升高,是猝死、冠心病和充血性心力衰竭的独立的、主要的危险因素和预后信号。QT间期离散度（QTd）是反映心室肌复极的不均匀性和电不稳定性预测恶性室性心...     

Self-compassion moderates the relationship between body mass index and both eating disorder pathology and body image flexibility

The current study examined whether self-compassion, the tendency to treat oneself kindly during distress and disappointments, would attenuate the positive relationship between body mass index (BMI) and eating disorder pathology, and the negative relationship between BMI and body image flexibility. One-hundred and fifty-three female undergraduate students completed measures of self-compassion, self-esteem, eating disorder pathology, and body image flexibility, which refers to one's acceptance of negative body image experiences. Controlling for self-esteem, hierarchical regressions revealed that self-compassion moderated the relationships between BMI and the criteria. Specifically, the positive relationship between BMI and eating disorder pathology and the negative relationship between BMI and body image flexibility were weaker the higher women's levels of self-compassion. Among young women, self-compassion may help to protect against the greater eating disturbances that coincide with a higher BMI, and may facilitate the positive body image experiences that tend to be lower the higher one's BMI.     

SCI,不能没,不能唯——以广州医科大学为例

研究了广州医科大学2004年～2014年的SCI论文总量、总被引频次、篇均被引量、论文被引率、高被引论文、热门论文等数据.结果发现,广州医科大学近10年SCI论文总数大幅上升,但篇均被引频次偏低;“沉睡”论文较多,高被引论文和热门论文较少,尖端成果少.提出“不能没SCI”,但要正确使用SCI,学术评价应该由重“收录”向重“引用”转变;应引入分学科、分层评估的机制,鼓励发表高水平论文.同时提出“不能唯SCI”,以该校人才评估的两个案例为依据,分析了将h指数和F1000两项指标纳入学术评价体系的可行性.     

The Christian Reformed Church Periodical Index

Abstract

This article describes the creation of a web-based database that indexes less well-known periodical titles of importance to scholars in the Christian Reformed Church, and generally not covered by other indexing services. The author explains how the data from the index, originally stored in a card catalog, was moved online to a text-based system, and eventually into its present form in a web-based system. Highlighting some of the challenges that were overcome in creating this resource, brief details are provided on how the data are stored and retrieved in the web environment, on how the data are searched and presented to the researcher, and on the methods used to keep the database current.