Summary information

Study title

Replication data: Challenges and benefits of including institutionalized, cognitively impaired, and unable-to-respond individuals in a representative survey of the very old

Creator

Kaspar, Roman ( Universität zu Köln)
Brijoux, Thomas ( Universität zu Köln)
Albrecht, Andrea ( Universität zu Köln)
Zimmermann, Jaroslava ( Universität zu Köln)
Wenner, Judith ( Universität zu Köln)
Fey, Jonas ( Universität zu Köln)
Reissmann, Marcella ( Universität zu Köln)
Wagner, Michael ( Universität zu Köln)
Zank, Susanne ( Universität zu Köln)

Study number / PID

10.7802/2536 (GESIS)

10.7802/2536 (DOI)

Data access

Informationen nicht verfügbar

Series

Nicht verfügbar

Abstract

Institutionalization, cognitive impairment, and the inability to conduct an interview due to health impairment are among the top exclusion criteria for most large-scale social and aging surveys. Reservations about targeting vulnerable groups result from economic or legal restrictions of recruitment and concerns regarding research ethics or the validity of the data obtained. However, failure to include these individuals may lead to substantial bias. Metadata showed that privileged data access and checks against nursing home repositories prevented the undercoverage of institutionalized individuals. Measures to include difficult-to-survey groups led to a marked increase in response rates. Individuals with health impairments substantially contributed to the representativity of the sample. Nonresponse bias was cut in half when compared with a less inclusive study protocol. From a Total Survey Error perspective, reductions in nonresponse bias, low item-nonresponse, and evidence of measurement invariance across self-reports and proxy reports for key outcome variables show significant benefits of including difficult-to-survey groups in estimating characteristics of this population.

Topics

Nicht verfügbar

Methodology

Data collection period

Nicht verfügbar

Country

Germany

Time dimension

cross-section

Analysis unit

Nicht verfügbar

Universe

Nicht verfügbar

Sampling procedure

Probability Sample

Kind of data

Nicht verfügbar

Data collection mode

Persönliches Interview

Access

Publisher

GESIS Datenarchiv für Sozialwissenschaften

Publication year

2023

Terms of data access

Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden.

Related publications

Nicht verfügbar