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Methods for Evaluating Composite Reliability, Classification Consistency, and Classification Accuracy for

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Summary
This summary is machine-generated.

Single scoring of constructed-response (CR) items can be as effective as double scoring in licensure tests. This study extends reliability methods to identify conditions where single scoring maintains classification accuracy and consistency.

Keywords:
classificationgeneralizability theoryperformance assessmentrater effectsreliability

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Area of Science:

  • Educational Measurement
  • Psychometrics
  • Test Theory

Background:

  • Licensure tests often use mixed formats, including constructed-response (CR) items.
  • Assessing the reliability of CR items is crucial for accurate student evaluation.
  • Traditional methods may not fully capture the nuances of CR item scoring in mixed-format tests.

Purpose of the Study:

  • To extend existing reliability estimation methods for mixed-format tests.
  • To determine conditions where single scoring of CR items is equivalent to double scoring.
  • To evaluate the impact of scoring methods on classification consistency and accuracy.

Main Methods:

  • Utilized multivariate generalizability theory (G-theory).
  • Extended G-theory with simulation studies.
  • Estimated composite score reliability, classification consistency, and accuracy under different scoring conditions.

Main Results:

  • Single scoring demonstrated comparable reliability to double scoring under specific conditions.
  • Classification consistency and accuracy were maintained with single scoring in certain scenarios.
  • Decision studies indicated that the number of CR items and their weight influence scoring effectiveness.

Conclusions:

  • Proposed reliability extensions provide a framework for evaluating single CR item scoring.
  • Single scoring can be a viable and efficient alternative to double scoring in licensure testing.
  • The findings offer practical guidance for optimizing scoring strategies in mixed-format assessments.