通过过程数据研究成功和不成功的时间管理:两种新的考试行为指标

IF 2.6 Q1 EDUCATION & EDUCATIONAL RESEARCH Large-Scale Assessments in Education Pub Date : 2024-02-13 DOI:10.1186/s40536-024-00193-z
Elena C. Papanastasiou, Michalis P. Michaelides
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引用次数: 0

摘要

在国际大规模测评中,考试行为是考试分数的一个潜在结构无关变异源,考试努力、动机和一般行为往往与考试分数相混淆。为了厘清这种关系并进一步了解考生的考试过程,研究人员现在可以利用过程和时间数据来更全面地了解考生的考试行为,如考试努力程度。本研究的目的是提出并评估两个新颖的基于反应的、标准化的应试行为指标,这两个指标综合利用了考生的反应和过程(计时)数据,以更好地理解和描述ILSA中的应试努力程度。这些指标是利用美国的数据进行实证估算的,这些数据来自2019年四年级数学e-TIMSS的两本小册子。此外,还检验了这些指数对成绩估计的预测有效性。此外,还研究了这些指数与其他相关变量(如学习动机、对学科的兴趣)以及跨学科变量之间的关联网络,以检验它们在 e-TIMSS 中的个体内部稳定性。
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Examining successful and unsuccessful time management through process data: two novel indicators of test-taking behaviors

Test-taking behavior is a potential source of construct irrelevant variance for test scores in international large-scale assessments where test-taking effort, motivation, and behaviors in general tend to be confounded with test scores. In an attempt to disentangle this relationship and gain further insight into examinees’ test-taking processes, researchers can now utilize process and timing data to obtain a more comprehensive view of test-taking behaviors, such as test-taking effort. The purpose of this study is to propose and evaluate two novel response-based, standardized indicators of test-taking behaviors that utilize a combination of examinee response and process (timing) data to better understand and describe test-taking effort in ILSAs. These indices were empirically estimated with USA data from two booklets from e-TIMSS 2019 in mathematics for grade 4. In addition, their predictive validity was examined with respect to achievement estimates. Their network of associations with other relevant variables such as motivation, interest in the subject, as well as across subjects were also examined to test their intra-individual stability in e-TIMSS.

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来源期刊
Large-Scale Assessments in Education
Large-Scale Assessments in Education Social Sciences-Education
CiteScore
4.30
自引率
6.50%
发文量
16
审稿时长
13 weeks
期刊最新文献
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