Missing Data in Wave 2 of NSHAP: Prevalence, Predictors, and Recommended Treatment | Zendy

Louise C. Hawkley | Zendy; Masha Kocherginsky | Zendy; Jaclyn S. Wong | Zendy; JongHoon Kim | Zendy; Kathleen A. Cagney | Zendy

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Missing Data in Wave 2 of NSHAP: Prevalence, Predictors, and Recommended Treatment

Author(s) -

Louise C. Hawkley,

Masha Kocherginsky,

Jaclyn S. Wong,

JongHoon Kim,

Kathleen A. Cagney

Publication year - 2014

Publication title -

the journals of gerontology series b

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.578

H-Index - 150

eISSN - 1758-5368

pISSN - 1079-5014

DOI - 10.1093/geronb/gbu044

Subject(s) - missing data , imputation (statistics) , inverse probability weighting , logistic regression , statistics , weighting , computer science , econometrics , mathematics , medicine , propensity score matching , radiology

This report seeks to inform National Social Life, Health, and Aging Project (NSHAP) data users of the prevalence and predictors of missing data in the in-person interview (CAPI) and leave-behind questionnaire (LBQ) in Wave 2 of NSHAP, and methods to handle missingness.

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