Generalizability Theory and Experimental Design
Incongruity between Analysis and Inference
Datos Bibliográficos
| ID | 8222995 |
|---|---|
| Autores | Kenneth D Hopkins (University of Colorado System, autor de correspondencia) |
| Año | 1984 |
| Volumen | 21 |
| Número | 3 |
| Páginas | 703-712 |
| Fecha de publicación | 1984-01-01 |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | American Educational Research Journal (JOURNAL) |
| Identificadores de la revista | ISSN: 0002-8312 • E-ISSN: 1935-1011 |
| Editorial | American Educational Research Association (AERA) (PUBLISHER) |
| DOI | 10.3102/00028312021003703 |
| OpenAlex | W2143181995, W4231351782 |
| Idioma | EN |
| Citas recibidas | 2 |
| Referencias citadas | 16 |
The inferences drawn from many statistical analyses are not congruent with the analyses performed. The analysis commonly employed when cognitive or affective measures serve as the dependent variable yields an inference that is rigorously generalizable only to the specific set of scales or items that were employed, and not to the intended universe of items of which the set used is viewed as a representative sample. The arguments in this paper show that if the items are incorporated into the design as levels of a random facet via generalizability theory, the inferential question in the desired universe of inference can be examined statistically. An estimate of the reliability (generalizability) of the outcome variable also accrues from the proposed analysis; consequently the statistical and measurement fidelity questions are unified in a single analysis. Advantages of nesting items within subjects are proposed
Econometrics · Fidelity · Generalizability theory · Inference · Machine learning · Mathematical economics · Nesting (process · Outcome (game theory · Power (physics · Reliability (semiconductor · Sample (material · Set (abstract data type · Statistical inference · Statistics · Variable (mathematics · Advanced Statistical Methods and Models · Artificial Intelligence · Color perception and design · Computer Science · Mathematics · Optimal Experimental Design Methods · Psychology · Sensory Analysis and Statistical Methods
| Citas por año | 0,06 |
|---|---|
| Intervalo de citas | 1990 - 1991 (2) |
| Altamente citado | No |