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Providing Validation Evidence for a Clinical-Science Module: Improving Testing Reliability with Quizzes.

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Adding quizzes to exams significantly improves the reliability of module grades in clinical science courses. Increasing the summative weight of quizzes further enhances this reliability, contributing to a more rigorous academic assessment.

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Area of Science:

  • Educational Measurement
  • Psychometrics
  • Health Professions Education

Background:

  • High-stakes assessments require robust validation and reliability.
  • Short exams alone may lack sufficient reliability in didactic courses.
  • Quizzes are a common instructional tool but their impact on overall reliability varies.

Purpose of the Study:

  • To quantify the reliability gains in module grades by integrating quiz data with traditional exam data.
  • To explore how different weighting schemes for quizzes affect overall module reliability.
  • To assess the impact of quiz frequency and weighting on the dependability of student evaluations in a clinical science module.

Main Methods:

  • Generalizability Theory (G-Theory) was employed to model module-level reliability.
  • Data from seven quizzes and one exam were combined using G-Theory (mGENOVA).
  • Decision studies were conducted to simulate changes in reliability by altering quiz number and weight.

Main Results:

  • The combined reliability of module grades (quizzes + exam) was 0.73, an improvement over the exam alone (KR-20=0.67).
  • Increasing quiz weight from 18% to 36% raised composite reliability to 0.77.
  • A reliability of 0.80 was achieved with equal weighting of quizzes and the exam.

Conclusions:

  • Integrating quizzes into module assessments enhances overall reliability.
  • The summative application of quizzes, reflected in their weighting, significantly impacts reliability gains.
  • Quizzes can be strategically used to increase the rigor and dependability of educational assessments.