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| Teoria generalizowalności w formie skróconej× | Wielopoziomowa analiza rzetelności× | |
|---|---|---|
| Dziedzina | Psychometria | Psychometria |
| Rodzina | Latent structure | Latent structure |
| Rok powstania≠ | 1963–1972 (G-theory); short-form extension ongoing from 1980s | 2014 |
| Twórca≠ | Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam | Geldhof, Preacher & Zyphur |
| Typ≠ | Reliability / decision-study framework | Reliability estimation / psychometric modeling |
| Źródło pierwotne≠ | Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826 | Geldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2014). Reliability estimation in a multilevel confirmatory factor analysis framework. Psychological Methods, 19(1), 72–91. DOI ↗ |
| Inne nazwy | G-theory for abbreviated scales, short-form G-study, abbreviated test generalizability, short-form D-study | multilevel omega, within-group reliability, between-group reliability, hierarchical reliability |
| Pokrewne≠ | 5 | 3 |
| Podsumowanie≠ | Short form generalizability theory applies the G-theory variance-component framework to abbreviated measurement instruments, using G-studies and D-studies to estimate how many items a short scale must retain to achieve a desired reliability and to evaluate the accuracy of decisions made with a condensed instrument. | Multilevel reliability analysis estimates the internal consistency of scale scores separately at the within-group (individual) and between-group (cluster) levels. It corrects the bias that arises when ordinary alpha or omega is applied to hierarchically nested data, such as employees within organizations or students within classrooms. |
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