Non-Sampling Error and Data Quality: What Can We Learn from Surveys to Collect Data for Vulnerability Measurements?

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • T. D. Phung
  • B. Hardeweg
  • S. Praneetvatakul
  • H. Waibel

Externe Organisationen

  • Mekong Development Research Institute (MDRI)
  • Kasetsart University
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)25-35
Seitenumfang11
FachzeitschriftWorld development
Jahrgang71
PublikationsstatusElektronisch veröffentlicht (E-Pub) - 21 Dez. 2013

Abstract

This paper investigates the causes for non-response and measurement errors in household panel surveys designed for assessing vulnerability to poverty in Thailand and Vietnam. Using data from surveys conducted in 2007 and 2008 we show that interview environment, timing, interviewer, and some respondent characteristics significantly affect non-sampling errors. Investigating interviewer bias for household consumption we find no significant effect of interviewer variables, which suggests validity of the data collected. The paper maps out possibilities to reduce non-sampling errors such as observing suitable interview duration and timing and matching interviewer characteristics with those of respondents.

ASJC Scopus Sachgebiete

Zitieren

Non-Sampling Error and Data Quality: What Can We Learn from Surveys to Collect Data for Vulnerability Measurements? / Phung, T. D.; Hardeweg, B.; Praneetvatakul, S. et al.
in: World development, Jahrgang 71, 21.12.2013, S. 25-35.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Phung TD, Hardeweg B, Praneetvatakul S, Waibel H. Non-Sampling Error and Data Quality: What Can We Learn from Surveys to Collect Data for Vulnerability Measurements? World development. 2013 Dez 21;71:25-35. Epub 2013 Dez 21. doi: 10.1016/j.worlddev.2013.11.008
Phung, T. D. ; Hardeweg, B. ; Praneetvatakul, S. et al. / Non-Sampling Error and Data Quality : What Can We Learn from Surveys to Collect Data for Vulnerability Measurements?. in: World development. 2013 ; Jahrgang 71. S. 25-35.
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