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Reading comprehension test item difficulty as a function of cognitive processing variables.

W Garrison1, F Dowaliby, G Long

  • 1Department of Educational Research and Development, National Technical Institute for the Deaf, Rochester, New York.

American Annals of the Deaf
|March 1, 1992
PubMed
Summary
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This study analyzed reading comprehension test items, identifying key components that predict item difficulty. The findings significantly advance our understanding of California Achievement Tests (CAT) and how to interpret scores accurately.

Area of Science:

  • Educational Measurement
  • Psychometrics
  • Deaf Education

Background:

  • The California Achievement Tests (CAT) are widely used assessments.
  • Understanding factors influencing item difficulty is crucial for test interpretation.
  • Previous analyses have not fully explored the componential attributes of CAT reading items.

Purpose of the Study:

  • To conduct a componential analysis of reading comprehension items from the California Achievement Tests (CAT).
  • To identify and quantify item attributes influencing task difficulty.
  • To evaluate the contribution of these attributes to item difficulty using statistical modeling.

Main Methods:

  • Developed a set of quantifiable problem components (attributes) for test items.
  • Attributes included manifest content, psychologically salient features, and processing demands.

Related Experiment Videos

  • Employed linear regression methodology to evaluate component contributions to item difficulty, using data from 158 deaf examinees.

    • Main Results:

    • A small number of predictor variables substantially accounted for variation in item difficulty (R2 ≥ .90).
    • The componential analysis successfully identified key attributes driving task difficulty in CAT reading sections.
    • Quantifiable item attributes demonstrated significant predictive power for item difficulty indices.

    Conclusions:

    • The study provides a robust framework for understanding reading comprehension item difficulty in the CAT.
    • Findings have implications for enhancing the construct validity and score interpretation of the CAT.
    • The componential analysis offers a method for test developers to create more diagnostically informative assessments.