Journals / International Journal of Assessment Tools in Education / 2016 / Cilt: 3 - Sayı: 2

Is This Reliable Enough? Examining Classification Consistency and Accuracy in a Criterion-Referenced Test

Pages
137–150
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

More evidence should also be gathered as to whether the placement of the cut-off score is appropriate since this has implications for the validity of classifications.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:One important step for assessing the quality of a test is to examine the reliability of test score interpretation.
📊
Key Findings & Data:For criterion-referenced tests, and in particular certification tests, where students are classified into performance categories, primary focus need not be on the size of error but on the impact of this error on classification.
💡
Conclusion & Impact:More evidence should also be gathered as to whether the placement of the cut-off score is appropriate since this has implications for the validity of classifications.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:reliability · criterion-referenced test · driving licence test

Abstract

One important step for assessing the quality of a test is to examine the reliability of test score interpretation. Which aspect of reliability is the most relevant depends on what type of test it is and how the scores are to be used. For criterion-referenced tests, and in particular certification tests, where students are classified into performance categories, primary focus need not be on the size of error but on the impact of this error on classification. This impact can be described in terms of classification consistency and classification accuracy. In this article selected methods from classical test theory for estimating classification consistency and classification accuracy were applied to the theory part of the Swedish driving licence test, a high-stakes criterion-referenced test which is rarely studied in terms of reliability of classification. The results for this particular test indicated a level of classification consistency that falls slightly short of the recommended level which is why lengthening the test should be considered. More evidence should also be gathered as to whether the placement of the cut-off score is appropriate since this has implications for the validity of classifications.

Özet

One important step for assessing the quality of a test is to examine the reliability of test score interpretation. Which aspect of reliability is the most relevant depends on what type of test it is and how the scores are to be used. For criterion-referenced tests, and in particular certification tests, where students are classified into performance categories, primary focus need not be on the size of error but on the impact of this error on classification. This impact can be described in terms of classification consistency and classification accuracy. In this article selected methods from classical test theory for estimating classification consistency and classification accuracy were applied to the theory part of the Swedish driving licence test, a high-stakes criterion-referenced test which is rarely studied in terms of reliability of classification. The results for this particular test indicated a level of classification consistency that falls slightly short of the recommended level which is why lengthening the test should be considered. More evidence should also be gathered as to whether the placement of the cut-off score is appropriate since this has implications for the validity of classifications.

🔖

Cite This Article

ALGER, S. (2022). Is This Reliable Enough? Examining Classification Consistency and Accuracy in a Criterion-Referenced Test. International Journal of Assessment Tools in Education, Cilt: 3 - Sayı: 2, 137–150. https://ajindex.com/articles/540269

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (4)

  1. Alger, S., & Sundström, A. (2013). Agreement of driving examiners’ assessments – Evaluating the reliability of the Swedish driving test. Transportation Research Part F: Traffic Psychology and Behaviour, 19(0), 22-30. doi: http://dx.doi.org/10.1016/j.trf.2013.02.004 American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing. Washington, DC: American Educational Research Association. Baughan, C. J., & Simpson, H. (1999). Consistency of driving performance at the time of the L-test, and implications for driver testing. In G. B. Grayson (Ed.), Behavioural Research in Road Safety IX. Crowthorne: Transport Research Laboratory. Berk, R. A. (1980). A Consumers' Guide to Criterion-Referenced Test Reliability. Journal of Educational Measurement, 17(4), 323-349. doi: 10.1111/j.1745-3984.1980.tb00835.x Brennan, R. L. (2004). Manual for BB-CLASS: A Computer Program that uses the Beta- Binomial Model for Classification Consistency and Accuracy. Version 1. (CASMA Research Report No. 9). Retrieved from the Center for Advanced Studies in Measurement http://www.education.uiowa.edu/docs/default-source/casma--- research/09casmareport.pdf?sfvrsn=2 at The University of Iowa website: Brennan, R. L. (Ed.) (2006). Educational measurement. (4th ed.) Westport, CT: Praeger Publishers.
  2. Brennan, R. L., & Wan, L. (2004). Bootstrap procedures for estimating decision consistency for single-administration complex assessments (CASMA Research Report No. 7). Iowa City: University of Iowa, Center for Advanced Studies in Measurement and Assessment. Retrieved from http://www.education.uiowa.edu/centers/casma/publications-data-file
  3. Breyer, F. J., & Lewis, C. (1994). Pass-Fail Reliability for Tests with Cut-Scores: A Simplified Method. ETS Research Report Series, 1994(2), i-30. doi: 10.1002/j.2333- 8504.1994.tb01612.x Crocker, L., & Algina, J. (1986). Introduction to classical and modern test theory. New York, NY: Holt, Rinehart and Winston, Inc. Guo, F. (2006). Expected classification accuracy using the latent distribution. Practical Assessment, http://pareonline.net/getvn.asp?v=11&n=6 & Evaluation, 11(6), 1-6.
  4. Retrieved from Haladyna, T. M., Downing, S. M., & Rodriguez, M. C. (2002). A review of multiple-choice item-writing guidelines for classroom assessment. Applied Measurement in Education, 15(3), 309-333. doi: 10.1207/S15324818AME1503_5 Han, K. T., & Hambleton, R. K