Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.

Browsing by Author "Lockwood, Robert E."

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    A comparison of the Nedelsky and Angoff cutting score procedures using generalizability theory
    (1980) Brennan, Robert L.; Lockwood, Robert E.
    Nedelsky (1954) and Angoff (1971) have suggested procedures for establishing a cutting score based on raters’ judgments about the likely performance of minimally competent examinees on each item in a test. In this paper generalizability theory is used to characterize and quantify expected variance in cutting scores resulting from each procedure. Experimental test data are used to illustrate this approach and to compare the two procedures. Consideration is also given to the impact of rater disagreement on some issues of measurement reliability or dependability. Results suggest that the differences between the Nedel sky and Angoff procedures may be of greater consequence than their apparent similarities. In particular, the restricted nature of the Nedelsky (inferred) probability scale may constitute a basis for seriously questioning the applicability of this procedure in certain contexts.