Expertise Sensitive Item Selection
Bibliographic Data
| ID | 13677994 |
|---|---|
| Authors | Peter Chow (Nipissing University, corresponding author), Howard Russell (Ontario Institute for Studies in Education, University of Toronto), Ross E Traub (Ontario Institute for Studies in Education, University of Toronto) |
| Year | 2000 |
| Volume | 87 |
| Issue | 3 |
| Pages | 791-801 |
| Publication date | 2000-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychological Reports (JOURNAL) |
| Journal identifiers | ISSN: 0033-2941 • E-ISSN: 1558-691X |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.2466/pr0.2000.87.3.791 |
| PMID | 11191390 |
| OpenAlex | W1995530352 |
| Language | EN |
| References cited | 7 |
In this paper we describe and illustrate a procedure for selecting items from a large pool for a certification test. The proposed procedure, which is intended to improve the alignment of the certification test with on-the-job performance, is based on an expertise sensitive index. This index for an item is the difference between the item's p values for experts and novices. An example is provided of the application of the index for selecting items to be used in certifying bakers
Certification · Index (typography · Management · Selection (genetic algorithm · Statistics · Test (biology · World Wide Web · Applied Psychology · Artificial Intelligence · Computer Science · Mathematics · Multi-Criteria Decision Making · Psychology · Reliability and Agreement in Measurement
| Highly cited | No |
|---|