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Understanding Performance in Test Taking: The Role of Question Difficulty Order

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  • Iriberri, Nagore
  • Anaya, Lina
  • Rey Biel, Pedro
  • Zamarro, Gema

Abstract

Standardized assessments are widely used to determine access to educational resources with important consequences for later economic outcomes in life. However, many design features of the tests themselves may lead to psychological reactions influencing performance. In particular, the level of difficulty of the earlier questions in a test may affect performance in later questions. How should we order test questions according to their level of difficulty such that test performance offers an accurate assessment of the test taker's aptitudes and knowledge? We conduct a field experiment with about 19,000 participants in collaboration with an online teaching platform where we randomly assign participants to different orders of difficulty and we find that ordering the questions from easiest to most difficult yields the lowest probability to abandon the test, as well as the highest number of correct answers. Consistent results are found exploiting the random variation of difficulty across test booklets in the Programme for International Student Assessment (PISA), a triannual international test, for the years of 2009, 2012, and 2015, providing additional external validity. We conclude that the order of the difficulty of the questions in tests should be considered carefully, in particular when comparing performance between test-takers who have faced different order of questions

Suggested Citation

  • Iriberri, Nagore & Anaya, Lina & Rey Biel, Pedro & Zamarro, Gema, 2021. "Understanding Performance in Test Taking: The Role of Question Difficulty Order," CEPR Discussion Papers 16099, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:16099
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    Cited by:

    1. is not listed on IDEAS
    2. Candan Erdemli & Judit Vall Castelló, 2024. "Gender differences in online education," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 15(4), pages 349-388, December.
    3. Gómez Seeber Matías José, 2024. "Momentum-stopping: Effects on performance," Asociación Argentina de Economía Política: Working Papers 4735, Asociación Argentina de Economía Política.

    More about this item

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • I20 - Health, Education, and Welfare - - Education - - - General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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