A Comparison of Three Algorithms for Item Analysis to Maximize Coefficient Alpha
Bibliographic Data
| ID | 20472173 |
|---|---|
| Authors | John D Morris (Georgia Southern College, corresponding author) |
| Year | 1978 |
| Volume | 38 |
| Issue | 3 |
| Pages | 801-804 |
| Publication date | 1978-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/001316447803800321 |
| OpenAlex | W2022689854 |
| Language | EN |
| Citations received | 2 |
| References cited | 3 |
Three algorithms for selecting a subset of originally available items to maximize coefficient alpha, including one advanced by Serlin and Kaiser (1976), were compared on the size of the resulting alpha and computation time required with nine sets of data. Results indicated that a combination of the two alternate algorithms proposed would perform better than the Serlin-Kaiser method. The characteristics of a computer program to perform these item analyses are described
Algorithm · Alpha (finance) · Computation · Cronbach's alpha · Psychometrics · Statistics · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Psychometric Methodologies and Testing
| Citations per year | 0.04 |
|---|---|
| Citation span | 1979 - 2020 (42) |
| Highly cited | No |