Volltext herunterladen
(externe Quelle)
Zitationshinweis
Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):
https://doi.org/10.13094/SMIF-2020-00018
Export für Ihre Literaturverwaltung
Comparison of Quarterly and Yearly Calibration Data for Propensity Score Adjusted Web Survey Estimates
[Zeitschriftenartikel]
Abstract While web surveys have become increasingly popular as a method of data collection, there is
concern that estimates obtained from web surveys may not reflect the target population of interest.
Web survey estimates can be calibrated to existing national surveys using a propensity score
adjustment, ... mehr
While web surveys have become increasingly popular as a method of data collection, there is
concern that estimates obtained from web surveys may not reflect the target population of interest.
Web survey estimates can be calibrated to existing national surveys using a propensity score
adjustment, although requirements for the size and collection timeline of the reference data set
have not been investigated. We evaluate health outcomes estimates from the National Center for
Health Statistics’ Research and Development web survey. In our study, the 2016 National Health
Interview Survey as well as its quarterly subsets are considered as reference datasets for the web
data. It is demonstrated that the calibrated health estimates overall vary little when using the
quarterly or yearly data, suggesting that there is flexibility in selecting the reference dataset. This
finding has many practical implications for constructing reference data, including the reduced cost
and burden of a smaller sample size and a more flexible timeline.... weniger
Thesaurusschlagwörter
Online-Befragung; Datengewinnung; Schätzung; Datenqualität; USA; Methodenvergleich; Wahrscheinlichkeit; Daten; Demographie
Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Freie Schlagwörter
calibration; health survey; National Health Interview Survey; propensity score models; Research and Development Survey; web survey
Sprache Dokument
Englisch
Publikationsjahr
2020
Seitenangabe
S. 1-11
Zeitschriftentitel
Survey Methods: Insights from the Field (2020)
Heftthema
Advancements in Online and Mobile Survey Methods
ISSN
2296-4754
Status
Veröffentlichungsversion; begutachtet (peer reviewed)