贝叶斯决策理论在考试作弊检测中的应用。

IF 1 4区心理学 Q4 PSYCHOLOGY, MATHEMATICAL

Applied Psychological Measurement Pub Date : 2025-01-27 DOI:10.1177/01466216251316559

Sandip Sinharay, Matthew S Johnson

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引用次数: 0

摘要

本文提出了一种基于贝叶斯决策理论的新方法(例如，Cronbach & Gleser, 1965；Ferguson, 1967)用于检测考试作弊。这种方法产生了一个简单的决策规则，该规则涉及计算给定数据的考生考试作弊的后验概率。建议的方法被应用于涉及实际考试作弊的真实数据集。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application of Bayesian Decision Theory in Detecting Test Fraud.

This article suggests a new approach based on Bayesian decision theory (e.g., Cronbach & Gleser, 1965; Ferguson, 1967) for detection of test fraud. The approach leads to a simple decision rule that involves the computation of the posterior probability that an examinee committed test fraud given the data. The suggested approach was applied to a real data set that involved actual test fraud.

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来源期刊

Applied Psychological Measurement Multiple-

CiteScore

2.30

自引率

8.30%

发文量

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.