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Related Experiment Videos

Analysis of multiple-choice items.

M A Moussa1, B A Ouda, A Nemeth

  • 1Faculty of Medicine, Kuwait University, Safat.

Computer Methods and Programs in Biomedicine
|April 1, 1991
PubMed
Summary
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This study introduces the MCQ program for efficient scoring and analysis of multiple-choice exams. It aids instructors in creating balanced question banks by analyzing item difficulty and discrimination.

Area of Science:

  • Educational Measurement
  • Psychometrics
  • Computer Science in Education

Background:

  • Effective evaluation of educational assessments is crucial for pedagogical improvement.
  • Manual scoring and analysis of multiple-choice exams are time-consuming and prone to errors.
  • Need for robust tools to analyze item performance and ensure question bank quality.

Purpose of the Study:

  • To present a specialized computer program, 'MCQ', for automated scoring and analysis of multiple-choice exams.
  • To provide tools for item analysis, including difficulty and discrimination indices.
  • To facilitate the creation of a balanced and effective bank of multiple-choice questions.

Main Methods:

  • Data input via optical mark reader scanner or system editor file.

Related Experiment Videos

  • Utilizes a dedicated 'MCQ' program for scoring and item analysis.
  • Integration with statistical packages like SPSSx for advanced statistical methods and SPSS Graphics for data visualization.

    • Main Results:

    • The 'MCQ' program performs scoring, calculates item difficulty and discrimination indices, and tests the effectiveness of question alternatives.
    • The analysis method is applicable to various question formats, including multiple-choice (4.5>5), true/false, and combined exams.
    • Generated data can be linked with SPSSx and SPSS Graphics for comprehensive statistical analysis and graphical representation.

    Conclusions:

    • The 'MCQ' program offers an efficient and reliable method for scoring and analyzing multiple-choice examinations.
    • Provides valuable insights into item performance, aiding in the refinement of assessment instruments.
    • Supports educators in developing high-quality, discriminant question banks for improved testing.