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Using structural equation modeling to detect response shifts and true change in discrete variables: an application to the items of the SF-36

PURPOSE: The structural equation modeling (SEM) approach for detection of response shift (Oort in Qual Life Res 14:587–598, 2005. doi:10.1007/s11136-004-0830-y) is especially suited for continuous data, e.g., questionnaire scales. The present objective is to explain how the SEM approach can be appli...

詳細記述

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書誌詳細
出版年:Qual Life Res
主要な著者: Verdam, Mathilde G. E., Oort, Frans J., Sprangers, Mirjam A. G.
フォーマット: Artigo
言語:Inglês
出版事項: Springer International Publishing 2015
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4870306/
https://ncbi.nlm.nih.gov/pubmed/26694962
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11136-015-1195-0
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