When raters disagree, then what: examining a third-rating discrepancy resolution procedure and its utility for identifying unusual patterns of ratings.
The purpose of this study was to examine a procedure for identifying and resolving discrepancies in ratings. We sought to determine to what extent the third-rater adjudication procedure employed in scoring the Test of Spoken English (TSE) successfully identified all anomalous ratings. We analyzed data from the April 1997 TSE scoring session using FACETS, a rating scale analysis computer program. The results suggest that, while it is important for an assessment program to identify cases in which there is obvious disagreement in the ratings assigned and have a policy to resolve those disagreements, implementing a discrepancy resolution procedure is not sufficient in and of itself for quality control monitoring. Often times, there are other anomalous ratings that discrepancy resolution procedures may miss. Fit analysis can provide a valuable adjunct to a discrepancy resolution procedure, flagging suspect rating profiles in need of expert review before a final score report is issued.
Myford
Carol M
CM
Department of Educational Psychology, University of Illinois at Chicago, 1040 W. Harrison Street, M/C 147, Chicago, IL 60607, USA.
Wolfe
Edward W
EW
D000328:Adult; D004521:Educational Measurement / Q000379:methods / Q000592:standards*; D005260:Female; D006801:Humans; D007807:Language Tests / Q000706:statistics & numerical data*; D016014:Linear Models; D008297:Male; D008432:Mathematical Computing; D015588:Observer Variation; D011786:Quality Control; D012984:Software / Q000592:standards