Item Selection Strategy for Reducing the Number of Items Rated in an Angoff Standard Setting Study

Abstract

In an Angoff standard setting procedure, judges estimate the probability that a hypothetical randomly selected minimally competent candidate will answer correctly each item in the test. In many cases, these item performance estimates are made twice, with information shared with the panelists between estimates. Especially for long tests, this estimation process can be time-consuming and fatiguing for the judges. This study extended an item selection strategy earlier proposed to form subsets of test items. The results of this study suggest that 40% to 50% of test items may be sufficient to estimate an equivalent passing score in an Angoff setting study when those items are selected to represent the full test in content, discrimination, and difficulty.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 24 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.