国家公务员结构化面试中评委偏差的IRT分析

使用项目反应理论(IRT)中的多面Rasch模型,对两组共12名评委在国家公务员结构化面试中的评委偏差进行了分析。提出并验证了两种评委偏差：评委之间在宽严程度上的差异和评委自身的一致性问题。结果发现：不同评委之间在宽严程度上差异显著,且不同评委评定行为的跨考生、跨维度、跨性别、跨时间的自身一致性也存在差异。研究表明,这种进入到评委个体层次的分析突破了经典测量理论(CTT)定位于评委群体进行分析的局限,针对每位评委的偏差行为提供了详细具体的诊断信息,从而为评委的针对性培训和评委库的建立提供了现代测量学的新方法     

IRT中最小化χ2/EM参数估计方法

对IRT的双参数Logistic模型（2PLM）中未知参数估计问题,给出了一个新的估计方法――最小化χ2/EM估计。新方法在充分考虑项目反应理论(IRT)与经典测量理论(CTT)之间的差异的前提下,从统计计算的角度改进了Berkson的最小化χ2估计,取消了Berkson实施最小化χ2估计时需要已知能力参数的不合实际的前提,扩大了应用范围。实验结果表明新方法能力参数的估计结果与BILOG相比,精确度要高,且当样本容量超过2000时,项目参数的估计结果也优于BILOG。实验还表明新方法稳健性好     

Can fast and slow intelligence be differentiated?

Responses to items from an intelligence test may be fast or slow. The research issue dealt with in this paper is whether the intelligence involved in fast correct responses differs in nature from the intelligence involved in slow correct responses. There are two questions related to this issue: 1. Are the processes involved different? 2. Are the abilities involved different? An answer to these questions is provided making use of data from a Raven-like matrices test and a verbal analogies test, and the use of a psychometric branching model. The branching model is based on three latent traits: speed, fast accuracy and slow accuracy, and item parameters corresponding to each of these. The pattern of item difficulties is used to draw conclusions on the cognitive processes involved. The results are as follows: 1. The processes involved in fast and slow responses can be differentiated, as can be derived from qualitative differences in the patterns of item difficulty, and fast responses lead to a larger differentiation between items than slow responses do. 2. The abilities underlying fast and slow responses can also be differentiated, and fast responses allow for a better differentiation between the respondents.     

11岁和15岁儿童学习动机和数学素养的关系

选取2133名11岁和15岁学生,采用PISA测试为数学素养指标,探讨学生学习动机的不同维度与数学素养之间的关系。结果发现：（1）11岁学生的内部动机明显地强于15岁学生。（2）11岁学生内部动机中的挑战性动机与数学素养间的相关程度明显弱于15岁学生。（3）11岁高数学素养的学生组,数学素养和内、外学习动机有明显的相关,低数学素养学生组两者则不相关;对于15岁低数学素养的学生组,数学素养得分和内、外部学习动机有明显的相关,高数学素养学生组两者则不相关。     

Anaxagoras’s Qualitative Gunk

Are there atoms in the constitution of things? Or is everything made of atomless ‘gunk’ whose proper parts have proper parts? Anaxagoras (fifth-century BC) is the first gunk lover in the history of metaphysics. For him gunk is not only a theoretical possibility that cannot be ruled out in principle (as it is for modern gunk lovers). Rather, it is a view that follows cogently from his metaphysical analysis of the physical world of our experience. What is distinctive about Anaxagoras’s take on gunk is not only what motives the view, but also the particular type of gunk that he develops. It is qualitative gunk, rather than material gunk. Anaxagoras’s ontology was developed before matter was ‘invented’. It includes quality tropes only; they are gunky. The resulting metaphysical view – a world of qualitative gunk – is new, in the sense of being hitherto unexplored; and yet, it is derived from Anaxagoras’s writings. Drawing on Anaxagoras’s insights, this paper offers a sketch of what qualitative gunk ontology looks like; it explores what motives it; and it highlights the differences of qualitative gunk from material gunk.     

Variations in Expected Affect in Young and Middle-Aged Adults

Expected positive and negative affects were measured in three samples of college students and in three samples of middle-aged adults. For each of the samples, negative affect decreased with age. The pattern of the effect was the same for the three samples and for the Expected Balance Scale (Staats, 1987, 1989) and the PANAS (Watson, Clark, & Tellegen, 1988). The higher negative affect in college students, in comparison to that in their middle-aged friends or parents, is contrary to popular stereotypes. This specific and differential decrease in negative affect is not consistent with theories proposing only a general decrement in emotionality with increasing age. An explanation in terms of stress appraisal, coping, and management is suggested.     

Regularized Finite Mixture Models for Probability Trajectories

Finite mixture models are widely used in the analysis of growth trajectory data to discover subgroups of individuals exhibiting similar patterns of behavior over time. In practice, trajectories are usually modeled as polynomials, which may fail to capture important features of the longitudinal pattern. Focusing on dichotomous response measures, we propose a likelihood penalization approach for parameter estimation that is able to capture a variety of nonlinear class mean trajectory shapes with higher precision than maximum likelihood estimates. We show how parameter estimation and inference for whether trajectories are time-invariant, linear time-varying, or nonlinear time-varying can be carried out for such models. To illustrate the method, we use simulation studies and data from a long-term longitudinal study of children at high risk for substance abuse. This work was supported in part by NIAAA grants R37 AA07065 and R01 AA12217 to RAZ.     

不定长CAT区分度分层终止规则研究

该文通过对CAT测验信息量计算公式分析,给出了CAT较好的分层终止规则。实验数据表明,该分层终止规则能大大地提高考试的保密性和测验效率。     

混合IRT潜在模型及其应用轨迹

项目反应理论是测量被试潜在特质的现代测量理论, 潜在类别分析是基于模型的潜在特质分类技术。混合项目反应理论将项目反应理论与潜在类别分析相结合, 能够同时对被试分类并量化其潜在特质。在阐述混合项目反应理论概念、原理的基础上, 介绍了MRM、mNRM和mPCM等几种常见混合模型及其参数估计方法, 并从心理与行为特征分类、项目功能差异检测、测验效度评价等方面评述了其在心理测验中的应用发展轨迹。