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Student, School, and Country Differences in Sustained Test-Taking Effort in the 2009 PISA Reading Assessment

Author

Listed:
  • Dries Debeer

    (University of Leuven)

  • Janine Buchholz
  • Johannes Hartig

    (German Institute for International Educational Research (DIPF))

  • Rianne Janssen

    (University of Leuven)

Abstract

In this article, the change in examinee effort during an assessment, which we will refer to as persistence, is modeled as an effect of item position. A multilevel extension is proposed to analyze hierarchically structured data and decompose the individual differences in persistence. Data from the 2009 Program of International Student Achievement (PISA) reading assessment from N = 467,819 students from 65 countries are analyzed with the proposed model, and the results are compared across countries. A decrease in examinee effort during the PISA reading assessment was found consistently across countries, with individual differences within and between schools. Both the decrease and the individual differences are more pronounced in lower performing countries. Within schools, persistence is slightly negatively correlated with reading ability; but at the school level, this correlation is positive in most countries. The results of our analyses indicate that it is important to model and control examinee effort in low-stakes assessments.

Suggested Citation

  • Dries Debeer & Janine Buchholz & Johannes Hartig & Rianne Janssen, 2014. "Student, School, and Country Differences in Sustained Test-Taking Effort in the 2009 PISA Reading Assessment," Journal of Educational and Behavioral Statistics, , vol. 39(6), pages 502-523, December.
    • Handle: RePEc:sae:jedbes:v:39:y:2014:i:6:p:502-523
    DOI: 10.3102/1076998614558485
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    References listed on IDEAS

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    1. Yuri Goegebeur & Paul Boeck & James Wollack & Allan Cohen, 2008. "A Speeded Item Response Model with Gradual Process Change," Psychometrika, Springer;The Psychometric Society, vol. 73(1), pages 65-87, March.
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    Cited by:

    1. Ping Chen & Chun Wang, 2016. "A New Online Calibration Method for Multidimensional Computerized Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 674-701, September.

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