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Multistage Testing in Heterogeneous Populations: Some Design and Implementation Considerations.

Leslie Rutkowski1,2, Yuan-Ling Liaw3, Dubravka Svetina1

  • 1Indiana University, Bloomington, IN, USA.

Applied Psychological Measurement
|August 22, 2022
PubMed
Summary

Multistage adaptive testing improves the measurement of diverse populations in large-scale assessments, especially for low performers. This method offers precision advantages and good parameter recovery, enhancing international assessment capabilities.

Keywords:
heterogeneous populationsinternational large-scale assessmentmultistage adaptive testingsimulation study

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Area of Science:

  • Educational Measurement
  • Psychometrics
  • International Large-Scale Assessments

Background:

  • International large-scale assessments face challenges in measuring diverse, often low-performing populations.
  • Multistage adaptive testing (MAT) presents a potential solution for improved achievement assessment across varied proficiency levels.

Purpose of the Study:

  • To examine how multistage test design and implementation choices impact measurement performance in international assessments.
  • To extend previous research by incorporating multiple linked panels, advanced achievement estimation, and diverse populations.

Main Methods:

  • A simulation study was conducted, mimicking an established international assessment.
  • Compared various routing schemes (classical, merit, probabilistic misrouting) and module lengths.
  • Evaluated item and person parameter recovery across populations with varied proficiency.

Main Results:

  • Multistage adaptive testing demonstrated precision advantages, particularly for low-performing populations.
  • Equal module lengths and classical routing methods yielded good results with lower technological burden.
  • Probabilistic misrouting showed advantages over merit routing in controlling item and person parameter bias.

Conclusions:

  • Multistage adaptive testing shows significant promise for enhancing the scope and precision of international large-scale assessments.
  • Findings offer practical insights for operationalizing MAT in large-scale, international testing contexts.