Evaluation of Second- and Third-Level Variance Proportions in Multilevel Designs With Completely Observed Populations: A Note on a Latent Variable Modeling Procedure
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
Abstract
Two- and three-level designs in educational and psychological research can involve entire populations of Level-3 and possibly Level-2 units, such as schools and educational districts nested within a given state, or neighborhoods and counties in a state. Such a design is of increasing relevance in empirical research owing to the growing popularity of large-scale studies in these and cognate disciplines. The present note discusses a readily applicable procedure for point-and-interval estimation of the proportions of second- and third-level variances in such multilevel settings, which may also be employed in model choice considerations regarding ensuing analyses for response variables of interest. The method is developed within the framework of the latent variable modeling methodology, is readily utilized with widely used software, and is illustrated with an example.
Details
Originalsprache | Englisch |
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Seiten (von - bis) | 568-579 |
Seitenumfang | 12 |
Fachzeitschrift | Educational and psychological measurement : EPM ; a bimonthly journal devoted to the development and application of measures of individual differences |
Jahrgang | 82 |
Ausgabenummer | 3 |
Frühes Online-Datum | Apr. 2021 |
Publikationsstatus | Veröffentlicht - Juni 2022 |
Peer-Review-Status | Ja |
Externe IDs
PubMed | 35444342 |
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Scopus | 85104760103 |
ORCID | /0000-0003-1106-474X/work/151436748 |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Exhaustive population study, Interval estimation, Multilevel analysis, Proportion second-level variance, Proportion third-level variance, Three-level design, Two-level design, multilevel analysis, two-level design, proportion third-level variance, three-level design, interval estimation, exhaustive population study, proportion second-level variance