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Evaluating Different Scoring Methods for Multiple Response Items Providing Partial Credit.

Joe Betts1, William Muntean1, Doyoung Kim1

  • 1National Council of State Boards of Nursing, Chicago, IL, USA.

Educational and Psychological Measurement
|January 7, 2022
PubMed
Summary
This summary is machine-generated.

Multiple response items in computer-based testing offer partial credit scoring. The plus/minus and true/false scoring methods show promise for "select all that apply" questions, improving information efficiency.

Keywords:
multiple response itemspolytomous scoringtechnology-enhanced items

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Area of Science:

  • Educational Measurement
  • Psychometrics
  • Computer-Based Testing

Background:

  • Multiple response item formats are increasingly utilized in technology-enhanced assessments.
  • These items offer the potential for polytomous scoring, providing partial credit.
  • Various raw score computation methods exist for multiple response items.

Purpose of the Study:

  • To evaluate different scoring approaches for multiple response items.
  • To extend Wilson's approach by incorporating scoring for relevant/irrelevant information selection.
  • To assess the efficiency of scoring methods in terms of information gained per unit of time.

Main Methods:

  • Literature review of existing scoring methods for multiple response items.
  • Application of an extended Wilson's approach to evaluate scoring strategies.
  • Comparison of scoring methods based on the selection/nonselection of relevant and irrelevant information.
  • Evaluation of information per time unit for different scoring methods.

Main Results:

  • All evaluated scoring methods demonstrated potential utility.
  • The plus/minus and true/false scoring methods were identified as most promising for "select all that apply" items.
  • These promising methods showed a significant increase in information per time unit compared to dichotomous scoring.

Conclusions:

  • Multiple response item scoring methods have varying degrees of effectiveness.
  • Plus/minus and true/false methods offer advantages for specific item types like "select all that apply".
  • Enhanced scoring methods can improve the efficiency and information yield of computer-based tests.