The Use of Discriminant Analyses to Determine Subject Attrition Bias in Field Research
Bibliographic Data
| ID | 20283409 |
|---|---|
| Authors | Jan Zahrly (Old Dominion University, corresponding author) |
| Year | 1990 |
| Volume | 50 |
| Issue | 3 |
| Pages | 505-514 |
| Publication date | 1990-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0013164490503004 |
| OpenAlex | W2079293286 |
| Language | EN |
| Citations received | 1 |
| References cited | 6 |
Differences in subjects who remained with or dropped out of a research project were evaluated using discriminant analyses. Subjects were 79 factory employees who received ten different questionnaires measuring perceptions and attitudes during a 22 month research period. Attrition was not predicted by any of the eight personality variables. Situational variables significantly predicted attrition; subjects who completed all questionnaires were more likely to have been assigned to one set of sister teams, to have been socialized into the organization by group/formal methods, and to have been initially assigned to the night shift. Discriminant analysis is a statistical tool to determine some of the bias of longitudinal data
Attrition · Discriminant · Econometrics · Field (mathematics) · Linear discriminant analysis · Statistics · Subject (documents) · Artificial Intelligence · Computer Science · Mathematics · Medicine · Occupational Health and Safety Research · Psychological Testing and Assessment · Psychology
| Citations per year | 0.03 |
|---|---|
| Citation span | 1996 - 1996 (1) |
| Highly cited | No |