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Statistical harmonization of versions of measures across studies using external data: Self-rated health and self-rated memory

Wu, Yingyan et al.
eScholarship · Papers
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PURPOSE: Harmonizing variables for constructs measured differently across studies is essential for comparing, combining, and generalizing results. We developed and fielded a brief survey to harmonize Likert and continuous versions of measures for two constructs, self-rated health and self-rated memo
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