, Volume 6, Issue 3, pp 153–160 | Cite as

Test reliability estimated by analysis of variance

  • Cyril Hoyt


A formula for estimating the reliability of a test, based on the analysis of variance theory, is developed and illustrated. The data needed for the required computation are the number of correct responses to each item and the score for each subject. The results obtained from this formula are identical with those from one of the special cases of the Kuder-Richardson formulation. The relationships of the new procedure to other approaches to the problem are indicated.


Reliability Coefficient Test Reliability Error Component True Score True Variance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Psychometric Society 1941

Authors and Affiliations

  • Cyril Hoyt
    • 1
  1. 1.University of MinnesotaUSA

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