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Missing Data in Wave 2 of NSHAP: Prevalence, Predictors, and Recommended Treatment
- Source :
- The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 69:S38-S50
- Publication Year :
- 2014
- Publisher :
- Oxford University Press (OUP), 2014.
-
Abstract
- 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.Missingness is quantified at the unit and item levels separately for CAPI and LBQ data, and at the item level is assessed within domains of conceptually related variables. Logistic and negative binomial regression analyses are used to model predictors of unit- and item-level nonresponse, respectively.Unit-level nonresponse on the CAPI was 10.6% of those who responded at Wave 1, and LBQ nonresponse was 11.37% of those who completed the Wave 2 CAPI component. CAPI item-level missingness was less than 1% of items for most domains but 7.1% in the Employment and Finances domain. LBQ item-level missingness was 5% across domains but 8.3% in the Attitudes domain. Missingness was predicted by characteristics of the sample and features of the study design.Multiple imputation is recommended to handle unit- and item-level missingness and can be readily and flexibly conducted with multiple imputation by chained equations, inverse probability weighting, and in some instances, full-information maximum-likelihood methods.
- Subjects :
- Male
Aging
Social Psychology
Health Status
Negative binomial distribution
Interviews as Topic
Special Article
Surveys and Questionnaires
Statistics
Prevalence
Humans
Longitudinal Studies
Aged
Aged, 80 and over
Data collection
Data Collection
Inverse probability weighting
Age Factors
Middle Aged
Missing data
United States
Clinical Psychology
Socioeconomic Factors
Data Interpretation, Statistical
Female
Geriatrics and Gerontology
Psychology
Gerontology
Subjects
Details
- ISSN :
- 17585368 and 10795014
- Volume :
- 69
- Database :
- OpenAIRE
- Journal :
- The Journals of Gerontology Series B: Psychological Sciences and Social Sciences
- Accession number :
- edsair.doi.dedup.....b98d02930a1709c1f900169f0f8fe5de