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CORRECTING FOR MEASUREMENT ERROR IN LATENT VARIABLES USED AS PREDICTORS()

This paper represents a methodological-substantive synergy. A new model, the Mixed Effects Structural Equations (MESE) model which combines structural equations modeling and item response theory is introduced to attend to measurement error bias when using several latent variables as predictors in ge...

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書目詳細資料
發表在:Ann Appl Stat
主要作者: Schofield, Lynne Steuerle
格式: Artigo
語言:Inglês
出版: 2015
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC4787301/
https://ncbi.nlm.nih.gov/pubmed/26977218
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/15-AOAS877
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