Abstract
Fisher’s correlation transformation is commonly used to draw inferences regarding the reliability of tests comprised of dichotomous or polytomous items. It is illustrated theoretically and empirically that omitting test length and difficulty results in inflated Type I error. An empirically unbiased correction is introduced within the transformation that is applicable under any test conditions.
DOI
10.22237/jmasm/1320120420
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
