Uncovering students’ views through cognitive interviews: Validation procedure for statistical literacy test items

Authors

  • Achmad Badrun Kurnia Universitas PGRI Jombang

Keywords:

Statistical literacy, Test items, Validation, Cognitive interview

Abstract

High school students should be prepared and reasonably expected to be critical data-based information readers. Their critical responses are a strong predictor of statistical literacy (SL) and thus a cohesive picture of it is needed to better inform educational stakeholders. In response to this notion, it is essential to use quality instruments to measure students’ SL. This study aims to describe the careful and systematic processes of developing and validating an alternative assessment to measure high school students’ SL. Each item in the assessment assessed one of the SL skills (interpreting, communicating, evaluating, and decision-making) and the item features contain the three SL components. The evidence for reliability and validity was collected through a series of cognitive interviews (cognitive interviews I and II). Cognitive interview I involved two 9-grade and two 12-grade students with average levels of knowledge in each grade. In comparison, cognitive interview II involved six 9-grade and six 12-grade students with different levels of knowledge (2 low, 2 medium, and 2 high level students). Furthermore, cognitive interview II was administered after the students solved the test items under test condition. Results confirm that ten items of the SL instrument were valid to be used for data collection. Implication of this study includes a comprehensive process of validating SL test items that contribute to the assessment theory, particularly on SL assessment in Indonesia.

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Published

2026-09-25

How to Cite

Kurnia, A. B. (2026). Uncovering students’ views through cognitive interviews: Validation procedure for statistical literacy test items. Metaverse: Journal of Mathematics Teacher Professional Development Research, 1(2), 71–87. Retrieved from https://journal.unesa.ac.id/index.php/metaverse/article/view/44182
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