Latent-variable Approaches Utilizing Both Item Scores and Response Times To Detect Test Fraud
There is a growing interest in approaches based on latent-variable models for detecting fraudulent behavior on educational tests. Wollack and Schoenig (2018) noted the presence of five types of statistical/psychometric approaches to detect the three broad types of test fraud that occur in educationa...
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| Format: | Article |
| Language: | English |
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De Gruyter
2021-01-01
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| Series: | Open Education Studies |
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| Online Access: | https://doi.org/10.1515/edu-2020-0137 |
| Summary: | There is a growing interest in approaches based on latent-variable models for detecting fraudulent behavior on educational tests. Wollack and Schoenig (2018) noted the presence of five types of statistical/psychometric approaches to detect the three broad types of test fraud that occur in educational tests. This paper includes a brief review of the five types of statistical/psychometric approaches mentioned by Wollack and Schoenig (2018). This paper then includes a more detailed review of the recent approaches for detecting test fraud using both item scores and response times—all of these approaches are based on latent-variable models. A real data example demonstrates the use of two of the approaches. |
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| ISSN: | 2544-7831 |