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Measurement Error Correction Formula for Cluster-Level Group Differences in Cluster Randomized and Observational Studies
Multilevel modeling (MLM) is frequently used to detect cluster-level group differences in cluster randomized trial and observational studies. Group differences on the outcomes (posttest scores) are detected by controlling for the covariate (pretest scores) as a proxy variable for unobserved factors...
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| 出版年: | Educ Psychol Meas |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
SAGE Publications
2015
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5965531/ https://ncbi.nlm.nih.gov/pubmed/29795887 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0013164415612255 |
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