Re-examining Citizenship: How the Control of Measurement Artifacts Affects Observed Relationships of Organizational Citizenship Behavior and Organizational Variables

We examined the impact that measurement artifacts (antithetical items that overlap counterproductive work behavior (CWB), agreement response, halo in supervisor ratings) in organizational citizenship behavior (OCB) measures has on observed relationships between OCB and 15 predictors. Respondents were 146 employees and their supervisors who completed surveys that included OCB measures with and without artifacts. Predictors (conscientiousness, emotional stability, empathy, distributive justice, procedural justice, role ambiguity, role conflict, leader–member exchange, affective organizational commitment, job satisfaction, negative and positive emotion, turnover intention, CWB, and task performance) were chosen that related to OCB in prior meta-analyses. Results with the OCB scale with artifacts were consistent with meta-analyses, whereas results with the artifact-controlled OCB scale were not, suggesting that accepted conclusions about OCB’s relationships with many other variables should be reexamined.     

雷替曲塞治疗老年晚期结直肠癌的疗效分析

比较雷替曲塞与5-氟尿嘧啶联合奥沙利铂治疗老年晚期结直肠癌的临床疗效及生存分析。经病理明确诊断的老年晚期结直肠癌患者42例分为A、B两组,分别采用雷替曲塞和5-氟尿嘧啶／亚叶酸钙联合奥沙利铂方案化疗,观察两组疗效、不良反应及生存分析。结果A、B两组患者有效率接近,无统计学差异。A、B组疾病进展时间分别是7．5个月和5．...     

抑郁和焦虑与心血管疾病

抑郁焦虑与心血管疾病的关系最能体现身与心两者相互影响、不可分割的特点。但临床上,心血管疾病患者抑郁焦虑的诊疗率不足1％。这说明现有的诊疗理念和方式没有将心血管疾病和精神障碍联系起来,给患者全面全程的干预和管理。这样的缺陷不仅增加患者的痛苦和功能障碍,也增加心血管疾病的发病率和病死率,还增加患者及社会的医疗负担。本文结合临床经验,从心身一体的诊疗理念,谈谈抑郁焦虑与心血管疾病。     

CAT选题策略分类概述

选题是计算机化自适应测验（CAT）测试过程的关键环节,选题策略的目标是要达到较高的测量精度,同时也实现试题曝光率控制及其他测验目标的实现.本文根据选题策略的基本原理和衍生发展,将众多CAT选题策略分为五大选题策略系列：Fisher函数系列、K-LI函数系列、α分层系列、贝叶斯系列、b匹配系列;并根据测验目标（测验精度、试题曝光率控制、内容平衡、多条件约束）对这些选题策略进行了细分,并对CAT选题策略的选择思路进行归纳.     

建构反应题中能力估计准确性的影响因素:评分者人数和项目个数的交互作用

采用康春花、孙小坚和曾平飞(2016)提出的等级反应多水平侧面模型探讨了评分者人数和项目个数对被试能力估计准确性的影响。模拟研究的结果表明:(1)随着项目个数的增加,估计值与真值之间的相关也不断增加;(2)评分者人数和项目个数在平均绝对偏差(MAB)和误差均方根(RMSE)上的主效应均显著,两者间的交互效应也显著;(3)简单效应分析发现,当项目较少时,3个评分者条件下的能力估计准确性最好; 随着项目个数的增加,4个评分者的估计误差迅速下降,且表现变为最好。     

反应抑制的训练:内容、效果与机制

近期的研究发现,个体的反应抑制能力具有一定的可塑性。研究者多采用双盲随机对照实验设计,训练的对象包括儿童、成人和特殊群体,研究者通过Go/Nogo、Stop-signal等任务进行为期1周至3周,45至7200试次不等的抑制控制能力训练,并结合行为、脑电以及脑成像等技术对训练效果进行评估,研究结果发现,接受了抑制控制训练的个体其抑制能力得到提升,并伴随脑神经活动的变化。另外,研究者发现,抑制控制能力的训练效果还可以迁移至个体日常生活中的表现。但是,也有些研究并未发现抑制控制训练的效果。训练任务的设置,评估任务的选择以及被试反应策略的差异等因素可能会影响训练的效果。抑制控制训练引发行为与大脑活动的变化可能是由于训练导致了个体建立了自上而下有意识的抑制控制模式和自下而上的自动抑制模式。反应抑制和冲突抑制可塑性的比较,儿童与老年人抑制功能的训练以及训练效果的追踪研究将成为该领域日后研究的重点问题。     

Differential item functioning by sex and race in the Hogan Personality Inventory

The authors examined measurement bias in the Hogan Personality Inventory by investigating differential item functioning (DIF) across sex and two racial groups (Caucasian and Black). The sample consisted of 1,579 Caucasians (1,023 men, 556 women) and 523 Blacks (321 men, 202 women) who were applying for entry-level, unskilled jobs in factories. Although the group mean differences were trivial, more than a third of the items showed DIF by sex (38.4%) and by race (37.3%). A content analysis of potentially biased items indicated that the themes of items displaying DIF were slightly more cohesive for sex than for race. The authors discuss possible explanations for differing clustering tendencies of items displaying DIF and some practical and theoretical implications of DIF in the development and interpretation of personality inventories.     

Bayesian analysis of mixtures in structural equation models with non‐ignorable missing data

Structural equation models (SEMs) have become widely used to determine the interrelationships between latent and observed variables in social, psychological, and behavioural sciences. As heterogeneous data are very common in practical research in these fields, the analysis of mixture models has received a lot of attention in the literature. An important issue in the analysis of mixture SEMs is the presence of missing data, in particular of data missing with a non‐ignorable mechanism. However, only a limited amount of work has been done in analysing mixture SEMs with non‐ignorable missing data. The main objective of this paper is to develop a Bayesian approach for analysing mixture SEMs with an unknown number of components and non‐ignorable missing data. A simulation study shows that Bayesian estimates obtained by the proposed Markov chain Monte Carlo methods are accurate and the Bayes factor computed via a path sampling procedure is useful for identifying the correct number of components, selecting an appropriate missingness mechanism, and investigating various effects of latent variables in the mixture SEMs. A real data set on a study of job satisfaction is used to demonstrate the methodology.