Universität zu Köln

Fokkema, Tineke, Kveder, Andrej, Hiekel, Nicole, Emery, Tom and Liefbroer, Aart C. (2016). Generations and Gender Programme Wave 1 data collection: An overview and assessment of sampling and fieldwork methods, weighting procedures, and cross-sectional representativeness. Demogr. Res., 34. S. 498 - 525. ROSTOCK: MAX PLANCK INST DEMOGRAPHIC RESEARCH. ISSN 1435-9871

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Abstract

BACKGROUND The Generations and Gender Survey (GGS) was developed to stimulate the study of a broad range of topics of relevance to population scientists. So far, at least one wave of the GGS has been conducted in 19 countries. If scholars want to use the GGS for comparative purposes, it is essential that there be cross-national equivalence in terms of survey implementation and representativeness. OBJECTIVES The two main goals are (1) to describe the main features of the implementation of the GGS in participating countries, and (2) to describe and evaluate the quality of the data collection of the GGS in terms of its cross-sectional representativeness. METHODS We use weighted and unweighted GGS data for 18 countries and compare this to country-specific information. RESULTS The quality of sampling and fieldwork procedures of the GGS is generally good. On average, response rates in the GGS are comparable to those in other cross-national surveys. After weighting, the data are generally representative in terms of age, gender, region, and household size, but less so for marital status and educational attainment. Implications for future waves of the GGS are discussed.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Fokkema, Tineke UNSPECIFIED UNSPECIFIED UNSPECIFIED Kveder, Andrej UNSPECIFIED UNSPECIFIED UNSPECIFIED Hiekel, Nicole UNSPECIFIED UNSPECIFIED UNSPECIFIED Emery, Tom UNSPECIFIED UNSPECIFIED UNSPECIFIED Liefbroer, Aart C. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-281303
DOI:	10.4054/DemRes.2016.34.18
Journal or Publication Title:	Demogr. Res.
Volume:	34
Page Range:	S. 498 - 525
Date:	2016
Publisher:	MAX PLANCK INST DEMOGRAPHIC RESEARCH
Place of Publication:	ROSTOCK
ISSN:	1435-9871
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language MODE Multiple languages Demography Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/28130