Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here for more information on Research and Evaluation in Education and Psychology, 3e

Sign In to gain access to subscriptions and/or personal tools.
Educational and Psychological Measurement
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Berk, R. A.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Empirical Evaluation of Formulae for Correction of Item-Total Point-Biserial Correlations

Ronald A. Berk

The Johns Hopkins University

Three formulae developed to correct item-total correlations for spuriousness were evaluated. Relationships among corrected, uncorrected, and item-remainder correlations were determined by computing sets of mean, minimum, and maximum deviation coefficients and Spearman rank correlations for nine test lengths. The results indicated that the Guilford or Cureton formula should be applied to item-total correlations below .4 in item pools with as few as 18 to 20 items.

Educational and Psychological Measurement, Vol. 38, No. 3, 647-652 (1978)
DOI: 10.1177/001316447803800305
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?