TOWARD AN OPTIMAL METHOD OF EQUATING SUBGROUPS COMPOSED OF DIFFERENT SUBJECTS,
Abstract
Whenever two or more individuals are to be compared on the basis of scores obtained from different evaluators, certain differential non-equivalence errors should be removed from their scores. A rationale for understanding how these non-equivalence errors affect a set of scores is presented. Various non-equivalence errors such as 'leniency,' 'exaggeration,' 'floor and ceiling,' 'differential treatment of extremes,' and various 'composition' effects such as differential emphasis of factors, reliability, and validity are included in the rationale. The confounding effect of differential spread of ability and differential average ability among subgroups is discussed. The problem of optimally removing non-equivalence errors involves finding the best variable or compostie of variables to use as a 'standardization' variable against which the data from different evaluators may be equated. Two methods for accomplishing this goal are described. The superiority of a nonlinear solution, rather than a linear solution was demonstrated. Cross validation results are also presented. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 04, 1964
- Accession Number
- AD0627258
Entities
People
- Robert J. Wherry Jr.
Organizations
- Naval Aerospace Medical Institute