Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Багаторівнева змістовна валідність× | Багаторівнева розробка шкал× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 1975–2000s | 1990s–2000s |
| Автор методу≠ | Rooted in Lawshe (1975) for content validity; multilevel extension developed through multilevel psychometric literature from the 1990s onward | Raudenbush, Bryk, Hox and colleagues |
| Тип≠ | Validity evaluation / expert judgment | Hierarchical measurement / scale construction |
| Основоположне джерело≠ | Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 382–385. DOI ↗ | Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. ISBN: 978-1848728462 |
| Інші назви | hierarchical content validity, nested-data content validity, multilevel scale content evaluation, MCV | multilevel measurement modeling, hierarchical scale development, MLSEM scale construction, nested data scale development |
| Пов'язані≠ | 6 | 5 |
| Підсумок≠ | Multilevel content validity extends the classical content validity framework to settings where items, raters, or respondents are nested within hierarchical structures — such as students within schools, patients within clinics, or items rated by panels from distinct cultural or professional groups. It ensures that scale content is relevant and representative at every level of the hierarchy, not just in the aggregate. | Multilevel scale development constructs and validates measurement instruments for data collected from individuals nested within higher-level units such as classrooms, organizations, or clinics. It partitions item variance into within-group and between-group components, ensuring that reliability and factor structure are evaluated at both levels simultaneously. |
| ScholarGateНабір даних ↗ |
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