Hostname: page-component-5f745c7db-rgzdr Total loading time: 0 Render date: 2025-01-06T06:30:17.166Z Has data issue: true hasContentIssue false
  • English
  • Français

Corrected Item-Test Correlations

Published online by Cambridge University Press:  01 January 2025

E. E. Cureton
E. E. Cureton*
Affiliation:
University of Tennessee
Get access Rights & Permissions [Opens in a new window]

Abstract

Previous papers on this subject derive the correlation between an item and the remainder of the test. This correlation is unsatisfactory because the reliability of the remainder varies inversely with the reliability of the item omitted. The present paper derives the correlation between an item and the total test, with that item replaced by a rationally equivalent item. The general formula is then modified, for dichotomus items, to give the corrected point-biserial, biserial, and Brogden biserial correlations. The results apply strictly only to factorially homogeneous tests: those in which the same trait or combination of traits is measured (apart from error) by every item.

Type
Original Paper
Information
Psychometrika , Volume 31 , Issue 1 , March 1966 , pp. 93 - 96
Copyright
Copyright © 1966 Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Brogden, H. E. A new coefficient: application to biserial correlation and to estimation of selective efficiency. Psychometrika, 1949, 14, 169–182.CrossRefGoogle ScholarPubMed
Guilford, J. P. The correlation of an item with a composite of the remaining items in a test. Educ. and psychol. Measmt, 1953, 13, 87–93.CrossRefGoogle Scholar
Henrysson, S. Correction of item-total correlations in item analysis. Psychometrika, 1963, 28, 211–218.CrossRefGoogle Scholar
Zubin, J. The method of internal consistency for selecting test items. J. educ. Psychol., 1934, 25, 345–356.CrossRefGoogle Scholar