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Method Bias in Cloze Tests as Reading Comprehension Measures

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  • Purya Baghaei
  • Hamdollah Ravand

Abstract

In many reading comprehension tests, different test formats are employed. Two commonly used test formats to measure reading comprehension are sustained passages followed by some questions and cloze items. Individual differences in handling test format peculiarities could constitute a source of score variance. In this study, a bifactor Rasch model is applied to separate the cloze-specific variance in a reading comprehension test composed of sustained passages (plus questions) and a cloze passage. The results are compared with a unidimensional Rasch model where all items load on a single dimension. The inclusion of the cloze-specific dimension, that is, the method factor, improved the fit and resulted in substantially lower item difficulty estimates for the cloze items. Findings indicate that reading comprehension tests comprising sustained passages and cloze items are not unidimensional and contain a cloze-specific nuisance dimension that contaminates the latent construct variance.

Suggested Citation

  • Purya Baghaei & Hamdollah Ravand, 2019. "Method Bias in Cloze Tests as Reading Comprehension Measures," SAGE Open, , vol. 9(1), pages 21582440198, February.
    • Handle: RePEc:sae:sagope:v:9:y:2019:i:1:p:2158244019832706
    DOI: 10.1177/2158244019832706
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    References listed on IDEAS

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    1. R. Bock & Murray Aitkin, 1981. "Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 443-459, December.
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