我国一大型考试等值的铆题参数漂移检验

设置铆题来链接不同测验形式是一种常用的等值设计。但受到曝光等因素影响,铆题功能在不同施测时间会发生改变。本研究采用MH检验和logistic回归考察我国一大型考试等值的铆题质量,结果发现,有22个铆题发生参数漂移,铆题的难度参数和区分度参数可能发生漂移;这些铆题中大部分在二次使用时无法通过模型拟合检验;若不删除参数发生漂移的铆题导致较大的系统等值误差,应将铆题参数漂移检验作为等值中的一步必要工作。     

适应性测验的发展:历史与现状

适应性测验作为一种测验形式,与传统的纸笔测验形式相比,具有省时、高效等很多优越性。测验应该适合于被试的理念最初可见于比内的智力测验。上世纪七十年代以来,适应性测验的研究从经典测量理论阶段发展到项目反应理论阶段,经历了从二阶段、三阶段、多阶段测验、固定分支测验和分层适应性测验的发展,到现在的计算机化适应性测验研究。随着项目反应理论和计算机技术的发展,计算机化适应性测验已经在教育和心理测验领域中得到广泛应用。目前对它的研究日益深入,主要有项目克隆、项目曝光、多维适应性测验、被试诊断、人格适应性测验等问题。     

检验项目功能差异的两类方法-CFA和IRT的比较

目前在验证性因素分析(CFA)和项目反应理论(IRT)两个领域,都有一些检验方法来识别项目功能差异(DIF)。该文主要针对单维的多级计分项目,分别介绍CFA和IRT检测DIF的方法,并进行二者的比较。     

应用Rasch模型测试和分析儿童入学准备状态

本研究的目的在于应用Rasch模型编制和分析数学入学准备测验,从而分析Rasch模型的有效性和优势。自编数学入学准备测试,对150名平均年龄为6.6岁的儿童进行测查,应用Rasch模型对题目和评分等级做出修正并分析结果。结果表明修正后的测试具有较好的信效度,较好地拟合了Rasch模型,评分等级设置合理,测试的整体难度相对较低。儿童的Rasch分数和性别无关,但受到年龄、家庭社会经济地位的影响。相对于经典测量理论而言,应用Rasch模型进行入学准备测试的编制和分析具有优势。     

Dissociative effects of elaboration on memory of enacted and non-enacted events: A case of a negative effect

One experiment compared the effect of elaboration on enacted and non-enacted events. The commands were either presented in a basic form (e.g., "wave your hands") or in an enriched form. The commands were enriched by adding statements to the commands of how to perform the actions (e.g., "wave your hands as a conductor"). Free- and cued-recall data showed elaboration to have a dissociative effect on enacted and non-enacted events. Memory for the non-enacted events benefited from enrichment, whereas simple enacted events were remembered to a higher extent than complex enacted events. Lack of benefit from elaboration on memory of enacted events is suggested to be due to enactment leading to a sufficient degree of item-specific processing, and a negative effect of elaboration is suggested to occur when the way of manipulating item complexity decreases the familiarity of the actions. Familiarity ratings of the items by two independent groups of subjects supported this interpretation.     

Effectiveness of color in picture recognition memory

Investigations were conducted into the effectiveness of color in picture recognition memory. In the study phase, half of the pictures were presented in color and the other half in black and white. In the test phase, half were presented in the same color mode as the study pictures and the other half in the other mode. In immediate and 1-week-delayed tests, the recognition performance was highest when color pictures were used in both the study and test phases. The recall for the color mode of the study pictures, however, was not as good, even with the color pictures. This suggests that the effectiveness of color in picture recognition is not necessarily due to the memory for colors in the pictures themselves, but is probably due to the distinctiveness of features highlighted by the colors. We also found that in the recall performance for the color mode it was more difficult to detect the deletion of colors than to detect their addition.     

Characterizing the manifest probabilities of latent trait models

The problem of characterizing the manifest probabilities of a latent trait model is considered. The item characteristic curve is transformed to the item passing-odds curve and a corresponding transformation is made on the distribution of ability. This results in a useful expression for the manifest probabilities of any latent trait model. The result is then applied to give a characterization of the Rasch model as a log-linear model for a 2 ^J -contingency table. Partial results are also obtained for other models. The question of the identifiability of “guessing” parameters is also discussed. The research reported here is collaborative in every respect and the order of authorship is alphabetical. Dr. Cressie was a Visiting Research Scientist at ETS during the Fall of 1980. His current address is: School of Mathematical Sciences, The Flinders University of South Australia, Bedford Park SA, 5042, AUSTRALIA. The preparation of this paper was supported, in part, by the Program Statistics Research Project in the Research Statistics Group at ETS.     

拓广分部评分模型下计算机自适应测验变加权选题策略

摘要: 在计算机自适应测验中, 对0-1评分模型按a-分层选题是高效安全的策略,但多级评分模型的项目难度/步骤参数有多个而无法直接应用这种选题策略。信息函数能够很好地综合项目所有参数及能力参数,但最大信息量选题策略会影响考试安全。本文提出一种变加权选题策略,它通过调用一个与信息量相关联的函数,该函数与信息量成正比,与区分度的某个幂函数成反比,从而达到既能综合项目所有参数又按a分层的效果。在GPCM模型下用蒙特卡罗实验进行比较研究,结果显示新的选题策略总体效果比已有相关结果好。     

A Factorial Analysis of Responses to the Comic as a Study in Personality

Modeling techniques were used to model moderate disclosure to high and low disclosers. Eighty female undergraduates (40 low disclosers and 40 high disclosers) listened to a model select items that were rated as moderate disclosures for discussion. Two modeling conditions were employed; in one condition the model was reinforced by the E (vicarious reinforcement), in the second condition the model was not reinforced. Two control conditions, one with the model present, the other with the model absent were also included. The results of two separate 2 × 4 × 2 repeated measures, hierarchical analyses of variance on the subject distance from modeled intimacy, and the number of moderate items selected on pre- and posttests, indicated that both modeling conditions were successful in producing moderation of self-disclosure.