Degradation of validity over time
A test and extension of Ackerman's model
Bibliographic Data
| ID | 4424910 |
|---|---|
| Authors | Charles T Keil (American Institutes for Research), Jose M Cortina (0000-0003-2336-917X) |
| Year | 2001 |
| Volume | 127 |
| Issue | 5 |
| Pages | 673-697 |
| Publication date | 2001-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Psychological Bulletin (JOURNAL) |
| Journal identifiers | ISSN: 0033-2909 • E-ISSN: 1939-1455 |
| Publisher | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037/0033-2909.127.5.673 |
| PMID | 11548973 |
| OpenAlex | W4248707351, W2092895842 |
| Language | EN |
| Citations received | 11 |
| References cited | 76 |
The dynamic nature of the predictor-criterion relationship has long been a concern in psychology, especially with regard to the deterioration of validity over time. The authors examine P. L. Ackerman's ( 1987, 1988) hypothesized relationships between different types of predictors and criteria over time using data from previous longitudinal studies. Expert ratings categorized predictors and criteria according to P. L. Ackerman's model. Regression results support the predicted negative curvilinear relationship between cognitive ability and consistent and inconsistent task performance but do not support the predicted relationships between perceptual speed ability and psychomotor ability and consistent and inconsistent task performance. Deterioration of validity was more ubiquitous than has been suggested previously, and the pervasive form of deterioration was cubic with a negative trend. Findings are discussed in the context of catastrophe-chaos models
Cognition · Cognitive psychology · Context (archaeology) · Degradation (telecommunications) · Developmental psychology · Econometrics · Extension (predicate logic) · Perception · Predictive validity · Programming language · Psychometrics · Psychomotor learning · Statistics · Task (project management) · Test (biology) · Test validity · Cognitive Abilities and Testing · Cognitive Science and Mapping · Computer Science · Emotional Intelligence and Performance · Geology · Mathematics · Psychology · Psychometric Methodologies and Testing
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| Citations per year | 0.46 |
|---|---|
| Citation span | 2002 - 2025 (24) |
| Highly cited | No |