Latent-variable Approaches Utilizing Both Item Scores and Response Times To Detect Test Fraud-Reference-Cited by-同舟云学术

Latent-variable Approaches Utilizing Both Item Scores and Response Times To Detect Test Fraud

Published:2021-01-01 Issue:1 Volume:3 Page:1-16
ISSN:2544-7831
Container-title:Open Education Studies
language:en
Short-container-title:

Author:

Sinharay Sandip¹

Affiliation:

1. Educational Testing Service , Princeton , NJ, United States

Abstract

Abstract 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.

Publisher

Walter de Gruyter GmbH

Subject

Social Sciences (miscellaneous),Developmental and Educational Psychology,Education

Link

https://www.degruyter.com/document/doi/10.1515/edu-2020-0137/pdf

Reference93 articles.

1. American Educational Research Association, American Psychological Association, & National Council for Measurement in Education. (2014). Standards for educational and psychological testing. Washington DC: American Educational Research Association.

2. Baker, F. B., & Kim, H., S. (2004). Item response theory: Parameter estimation techniques (2nd ed.). New York, NY: Marcel Dekker.10.1201/9781482276725

3. Bartholomew, D., Knott, M., & Moustaki, I. (2011). Latent variable models and factor analysis. New York, NY: John Wiley & Sons, Ltd.10.1002/9781119970583

4. Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B (Methodological), 57, 289–300.10.1111/j.2517-6161.1995.tb02031.x

5. Birnbaum, A. (1968). Some latent trait models and their use in inferring an examinee’s ability. In F. M. Lord & M. R. Novick (Eds.), Statistical theories of mental test scores (pp. 397–479). Reading, MA: Addison-Wesley.

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