Understanding Rater Cognition in Performance Assessment: A Mixed IRTree Approach [0.03%]
基于混合项目反应树模型理解评价者的认知机制——评《用混合IRT树模型理解绩效评估中的评分者认知》
Hung-Yu Huang
Hung-Yu Huang
When rater-mediated assessments are conducted, human raters often appraise the performance of ratees. However, challenges arise regarding the validity of raters' judgments in reflecting ratees' competencies according to scoring rubrics. Res...
Accuracy in Invariance Detection With Multilevel Models With Three Estimators [0.03%]
使用三个估计量的多层模型在不变性检测中的准确性
W Holmes Finch,Cihan Demir,Brian F French et al.
W Holmes Finch et al.
Applied and simulation studies document model convergence and accuracy issues in differential item functioning detection with multilevel models, hindering detection. This study aimed to evaluate the effectiveness of various estimation techn...
Marie Wiberg,Inga Laukaityte
Marie Wiberg
Test score equating is used to make scores from different test forms comparable, even when groups differ in ability. In practice, the non-equivalent group with anchor test (NEAT) design is commonly used. The overall aim was to compare the a...
Lawrence T DeCarlo
Lawrence T DeCarlo
The MC-DINA model is a cognitive diagnosis model (CDM) for multiple-choice items that was introduced by de la Torre (2009). The model extends the usual CDM in two basic ways: it allows for nominal responses instead of only dichotomous respo...
Modeling Within- and Between-Person Differences in the Use of the Middle Category in Likert Scales [0.03%]
利克特量表中中间选项使用差异的模型分析——个体和被试间差异
Jesper Tijmstra,Maria Bolsinova
Jesper Tijmstra
When using Likert scales, the inclusion of a middle-category response option poses a challenge for the valid measurement of the psychological attribute of interest. While this middle category is often included to provide respondents with a ...
Nicholas Trout,Kylie Gorney
Nicholas Trout
Romero et al. (2015; see also Wollack, 1997) developed the ω statistic as a method for detecting unusually similar answers between pairs of examinees. For each pair, the ω statistic considers whether the observed number of similar answers...
Impact of Parameter Predictability and Joint Modeling of Response Accuracy and Response Time on Ability Estimates [0.03%]
参数可预测性以及对反应准确性和反应时间的联合建模对能力估计的影响
Maryam Pezeshki,Susan Embretson
Maryam Pezeshki
To maintain test quality, a large supply of items is typically desired. Automatic item generation can result in a reduction in cost and labor, especially if the generated items have predictable item parameters and thus possibly reducing or ...
Few and Different: Detecting Examinees With Preknowledge Using Extended Isolation Forests [0.03%]
少而不同：使用扩展的隔离森林检测有预知识的考生
Nate R Smith,Lisa A Keller,Richard A Feinberg et al.
Nate R Smith et al.
Item preknowledge refers to the case where examinees have advanced knowledge of test material prior to taking the examination. When examinees have item preknowledge, the scores that result from those item responses are not true reflections ...
Semi-Parametric Item Response Theory With O'Sullivan Splines for Item Responses and Response Time [0.03%]
半参数项目响应理论及其对项目反应和反应时间的O'Sullivan样条拟合
Chen-Wei Liu
Chen-Wei Liu
Response time (RT) has been an essential resource for supplementing the estimation accuracy of latent traits and item parameters in educational testing. Most item response theory (IRT) approaches are based on parametric RT models. However, ...