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本文引用的文献

1
Exploring the Combined Effects of Rater Misfit and Differential Rater Functioning in Performance Assessments.探索评分者不匹配和评分者差异功能在绩效评估中的综合影响。
Educ Psychol Meas. 2019 Oct;79(5):962-987. doi: 10.1177/0013164419834613. Epub 2019 Apr 2.
2
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Appl Psychol Meas. 2019 Mar;43(2):159-171. doi: 10.1177/0146621618789391. Epub 2018 Aug 5.
3
Detecting Rater Effects under Rating Designs with Varying Levels of Missingness.在存在不同程度缺失值的评分设计下检测评分者效应。
J Appl Meas. 2018;19(3):243-257.
4
The Stabilizing Influences of Linking Set Size and Model-Data Fit in Sparse Rater-Mediated Assessment Networks.稀疏评分者介导评估网络中链接集大小与模型-数据拟合的稳定影响
Educ Psychol Meas. 2018 Aug;78(4):679-707. doi: 10.1177/0013164417703733. Epub 2017 Apr 12.
5
Improving the Assessment of Differential Item Functioning in Large-Scale Programs With Dual-Scale Purification of Rasch Models: The PISA Example.通过Rasch模型的双尺度纯化改进大规模项目中差异项目功能的评估:以国际学生评估项目(PISA)为例
Appl Psychol Meas. 2018 May;42(3):206-220. doi: 10.1177/0146621617726786. Epub 2017 Aug 29.
6
Monitoring Countries in a Changing World: A New Look at DIF in International Surveys.不断变化的世界中的监测国家:国际调查中差异项目功能(DIF)的新视角
Psychometrika. 2017 Mar;82(1):210-232. doi: 10.1007/s11336-016-9543-8. Epub 2016 Nov 14.
7
Comparison of Models and Indices for Detecting Rater Centrality.用于检测评分者中心性的模型与指标比较
J Appl Meas. 2015;16(3):228-41.
8
A Family of Rater Accuracy Models.一系列评分者准确性模型。
J Appl Meas. 2015;16(2):153-60.
9
Diagnosing a common rater halo effect using the polytomous Rasch model.使用多值Rasch模型诊断常见的评分者光环效应。
J Appl Meas. 2011;12(3):194-211.
10
Using classical and modern measurement theories to explore rater, domain, and gender influences on student writing ability.运用经典和现代测量理论,探究评分者、领域和性别对学生写作能力的影响。
J Appl Meas. 2009;10(3):225-46.

在稀疏评分者介导的评估网络中检测评分者偏差

Detecting Rater Biases in Sparse Rater-Mediated Assessment Networks.

作者信息

Wind Stefanie A, Ge Yuan

机构信息

The University of Alabama, Tuscaloosa, AL, USA.

出版信息

Educ Psychol Meas. 2021 Oct;81(5):996-1022. doi: 10.1177/0013164420988108. Epub 2021 Jan 19.

DOI:10.1177/0013164420988108
PMID:34565815
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8377343/
Abstract

Practical constraints in rater-mediated assessments limit the availability of complete data. Instead, most scoring procedures include one or two ratings for each performance, with overlapping performances across raters or linking sets of multiple-choice items to facilitate model estimation. These incomplete scoring designs present challenges for detecting rater biases, or differential rater functioning (DRF). The purpose of this study is to illustrate and explore the sensitivity of DRF indices in realistic sparse rating designs that have been documented in the literature that include different types and levels of connectivity among raters and students. The results indicated that it is possible to detect DRF in sparse rating designs, but the sensitivity of DRF indices varies across designs. We consider the implications of our findings for practice related to monitoring raters in performance assessments.

摘要

评分者介导评估中的实际限制因素限制了完整数据的可用性。相反,大多数评分程序对每个表现给出一两个评分,评分者之间存在重叠表现,或者将多项选择题组相联系以促进模型估计。这些不完整的评分设计给检测评分者偏差或评分者差异功能(DRF)带来了挑战。本研究的目的是说明和探讨DRF指标在现实的稀疏评分设计中的敏感性,这些设计已在文献中有所记载,包括评分者与学生之间不同类型和水平的关联性。结果表明,在稀疏评分设计中有可能检测到DRF,但DRF指标的敏感性因设计而异。我们考虑了研究结果对与绩效评估中监测评分者相关实践的影响。