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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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書誌詳細
出版年:Educ Psychol Meas
主要な著者: Cho, Sun-Joo, Preacher, Kristopher J.
フォーマット: Artigo
言語:Inglês
出版事項: SAGE Publications 2015
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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