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Validation of the Persian Translation of the Cognitive Test Anxiety Scale

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  • Purya Baghaei
  • Jerrell Cassady

Abstract

The 17-item revised version of the Cognitive Test Anxiety Scale (CTAR-17) was translated into Persian to be used for Iranian students. In this study, we used the Rasch rating scale model to examine the psychometric qualities of the translated scale in terms of dimensionality, use of response category, sample appropriateness, and reliability. A total of 297 undergraduate university students were administered the CTAR-17. Results indicated that the scale enjoyed acceptable reliability and the 4-point category scale functioned optimally. Perfect fit to the Rasch rating scale model was achieved once four items were deleted from the scale. Findings suggest that a 13-item brief version of CTAR-17 in Persian is a valid measure of cognitive test anxiety and can be used in treatment programs and future cross-cultural research on test anxiety.

Suggested Citation

  • Purya Baghaei & Jerrell Cassady, 2014. "Validation of the Persian Translation of the Cognitive Test Anxiety Scale," SAGE Open, , vol. 4(4), pages 21582440145, November.
  • Handle: RePEc:sae:sagope:v:4:y:2014:i:4:p:2158244014555113
    DOI: 10.1177/2158244014555113
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    References listed on IDEAS

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    1. William Stout, 1987. "A nonparametric approach for assessing latent trait unidimensionality," Psychometrika, Springer;The Psychometric Society, vol. 52(4), pages 589-617, December.
    2. David Andrich, 1978. "A rating formulation for ordered response categories," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 561-573, December.
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