Is the Web a Promising Tool for Data Collection in Developing Countries? An Analysis of the Sample Bias of 10 Web and Face-to-Face Surveys from Africa, Asia, and South America

Autor/inn/en	Tijdens, Kea; Steinmetz, Stephanie
Titel	Is the Web a Promising Tool for Data Collection in Developing Countries? An Analysis of the Sample Bias of 10 Web and Face-to-Face Surveys from Africa, Asia, and South America
Quelle	In: International Journal of Social Research Methodology, 19 (2016) 4, S.461-479 (19 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1364-5579
DOI	10.1080/13645579.2015.1035875
Schlagwörter	Online Surveys; Probability; Test Bias; Developing Nations; Cross Cultural Studies; Internet; Individual Characteristics; Research Methodology; Foreign Countries; Gender Differences; Age Differences; Educational Attainment; Guatemala; Honduras; Paraguay; Indonesia; Ghana; Kenya; Mozambique; Senegal; Uganda; Zambia + Suchen Sie Ihr Suchwort? Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Testkritik; Developing country; Developing countries; Entwicklungsland; Cultural comparison; Kulturvergleich; Personality characteristic; Personality traits; Persönlichkeitsmerkmal; Research method; Forschungsmethode; Ausland; Geschlechterkonflikt; Age; Difference; Age difference; Altersunterschied; Bildungsabschluss; Bildungsgut; Indonesien; Kenia; Mosambik; Sambia
Abstract	Whereas the sample composition biases of web surveys have been discussed extensively for developed countries, studies for developing countries are scarce. This article helps to fill that gap by comparing similar non-probability-based web surveys (WEB) and probability-based face-to-face (F2F) surveys both to each other and to the labor force. An analysis of WageIndicator data on work and wages derived from surveys held in 2009-2013 in 10 developing countries (WEB-sample N = 9135; F2F-sample N = 14,659), shows that F2F samples resemble the labor force to a larger extent than web samples do. In both cases, individuals in their 20s and early 30s are overrepresented, and younger and older respondents are underrepresented. This trend is more pronounced in WEB than in F2F samples. However, the differences converge in countries with higher Internet usage. A comparison of the WEB and F2F samples shows that compositions differ greatly, with web respondents being younger, more often male, more often living alone, and higher educated, although these differences are smaller in countries with higher Internet usage. Given the cost differences between the two survey modes, one should nevertheless consider the potential of web surveys as an instrument to gain explorative insights, specifically when searching for individuals with particular characteristics. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01