Geocoding to Manage Missing Data in a Secondary Analysis of Community-Dwelling, Low-Income Older Adults

Approximately 40% of psychosocial studies report missing data, which is a conservative estimate, with most studies either not adequately discussing or providing information regarding missing data ( Bodner, 2006 ). Generalization of participant characteristics is challenging if data are missing from studies —particularly socioeconomic data, which can reveal many details about the health of the population of interest ( Fuller-Thomson, Nuru-Jeter, Minkler,& Guralnik, 2009 ; Schulz et al., 2012 ; Szanton et al., 2015 ). Two key factors (i.e., income and neighborhood poverty) are considered to

Source: Research in gerontological nursing - July 26, 2017 Category: Geriatrics Authors: Kathy Wright , PhD, RN, CNS Source Type: research