计算机化自适应测验分数可比性的两种统计方法

IF 1 4区 心理学 Q4 PSYCHOLOGY, MATHEMATICAL
Adam E. Wyse
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引用次数: 0

摘要

本研究引入了两种新的统计方法来衡量计算机化自适应测验(CATs)分数的可比性,即比较获得相同量表分数的考生的条件标准误差(csem)。一个统计量用于评估替代CAT表格的个人量表得分的可比性,而另一个统计量用于评估替代CAT表格的总体得分可比性。新统计数据的有效性用三年级到八年级阅读和数学cat的数据来说明。结果表明,两种cat都表现出相当高的分数可比性,在很少学生得分的非常高或低的分数下,分数可比性较低,并且使用每个年级学生较少的随机样本对分数可比性没有太大影响。结果还表明,当使用得分最低的20%的学生来计算与所有学生的总分可比性时,分数的可比性有时会更高。还提供了与在不同上下文中应用统计数据相关的其他讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two Statistics for Measuring the Score Comparability of Computerized Adaptive Tests
This study introduces two new statistics for measuring the score comparability of computerized adaptive tests (CATs) based on comparing conditional standard errors of measurement (CSEMs) for examinees that achieved the same scale scores. One statistic is designed to evaluate score comparability of alternate CAT forms for individual scale scores, while the other statistic is designed to evaluate the overall score comparability of alternate CAT forms. The effectiveness of the new statistics is illustrated using data from grade 3 through 8 reading and math CATs. Results suggest that both CATs demonstrated reasonably high levels of score comparability, that score comparability was less at very high or low scores where few students score, and that using random samples with fewer students per grade did not have a big impact on score comparability. Results also suggested that score comparability was sometimes higher when the bottom 20% of scorers were used to calculate overall score comparability compared to all students. Additional discussion related to applying the statistics in different contexts is provided.
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来源期刊
CiteScore
2.30
自引率
8.30%
发文量
50
期刊介绍: Applied Psychological Measurement publishes empirical research on the application of techniques of psychological measurement to substantive problems in all areas of psychology and related disciplines.
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