دورية أكاديمية
Investigating alternative methods to recover level-2 covariates in multilevel models ...
| العنوان: | Investigating alternative methods to recover level-2 covariates in multilevel models ... |
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| المؤلفون: | Dilek, Ismail |
| بيانات النشر: | University of Iowa |
| سنة النشر: | 2022 |
| المجموعة: | DataCite Metadata Store (German National Library of Science and Technology) |
| مصطلحات موضوعية: | Multilevel Modeling, reliability correction, sampling error correction, public abstract |
| الوصف: | Hierarchical data is often observed in education data. Analyzing such data with Multilevel Modeling becomes crucial to understanding the relationship at the individual and group levels. However, one of the most significant problems with this kind of data is small sample sizes and very low Intraclass Correlations. The multivariate Latent Covariate Model is often accepted as the gold standard for analyzing hierarchically structured data. However, previous studies showed that this model did not work very well under the abovementioned conditions. This dissertation aimed to address two research questions around this situation. ... : The first research question intended to show how the Multilevel Latent Covariate Model worked under these conditions via a simulation study and a real data application. The second research question suggested six new candidate models as an alternative to the Multilevel Latent Covariate Model. The performances of all candidate models were assessed using the same simulation study and the real data application. ... |
| نوع الوثيقة: | text doctoral or postdoctoral thesis |
| وصف الملف: | application/pdf |
| اللغة: | English |
| DOI: | 10.25820/etd.006562 |
| الإتاحة: | https://doi.org/10.25820/etd.006562Test https://iro.uiowa.edu/esploro/outputs/doctoral/9984285248402771Test |
| حقوق: | Copyright 2022 Ismail Dilek ; Open ; Free to read and download ; http://rightsstatements.org/vocab/InC/1.0Test/ |
| رقم الانضمام: | edsbas.6A80CE8F |
| قاعدة البيانات: | BASE |
| DOI: | 10.25820/etd.006562 |
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