Volume 31 - Article 16 | Pages 459–496  

Attrition in the Austrian Generations and Gender Survey: Is there a bias by fertility-relevant aspects?

By Isabella Buber-Ennser

Abstract

Background: In longitudinal research the loss of sample members between waves is a possible source of bias. It is therefore crucial to analyse attrition.

Objective: This paper analyses attrition in a longitudinal study on family and fertility, by distinguishing between attrition due to non-contact and attrition due to non-cooperation.

Methods: Based on the first two waves of the Austrian Generations and Gender Survey, the two components of attrition are studied separately by using bivariate as well as multivariate methods. Moreover, overall dropout – the combination of both components – is analysed. Apart from various socio-economic characteristics and data collection information, the study focuses on fertility-relevant variables such as fecundity, fertility intentions, sexual orientation, and traditional attitudes.

Results: Fecundity, fertility intentions, and homosexual relationships are associated with higher attrition due to non-cooperation in bivariate analyses, but have no explanatory power in the multivariate model. Pregnancy and traditional attitudes towards marriage are associated with significantly lower attrition due to non-cooperation in the multivariate context. Overall dropout is significantly lower only among persons with traditional attitudes towards marriage, although small in size and statistical significance. Moreover, various individual and regional characteristics are significantly associated with dropout, with differences between attrition due to non-contact and attrition due to non-cooperation.

Conclusions: Detailed insights into attrition are not only important when using longitudinal data and interpreting results, but also for the design of future data collections. The Austrian GGS panel has a relatively low dropout (22%) and is affected by a small bias towards familyoriented persons as well as less-educated respondents and persons with migration backgrounds, but the data can be used without concern about selectivity.

Author's Affiliation

  • Isabella Buber-Ennser - Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna), Austria EMAIL

Other articles by the same author/authors in Demographic Research

Austria: Persistent low fertility since the mid-1980s
Volume 19 - Article 12

Fertility in second unions in Austria: Findings from the Austrian FFS
Volume 3 - Article 2

Most recent similar articles in Demographic Research

Calculating contraceptive prevalence and unmet need for family planning in low-fertility countries with the Generations and Gender Survey
Volume 49 - Article 21    | Keywords: cross-national study, Demographic and Health Surveys (DHS), Europe, family planning, Fertility and Family Survey (FFS), Generations and Gender Survey (GGS), longitudinal data, panel data, unplanned births, World Fertility Survey

The quality of fertility data in the web-based Generations and Gender Survey
Volume 49 - Article 3    | Keywords: accuracy, data quality, fertility, Generations and Gender Survey (GGS)

Evaluating interviewer manipulation in the new round of the Generations and Gender Survey
Volume 43 - Article 50    | Keywords: data quality, Generations and Gender Survey (GGS), interviewer effects, retrospective histories, survey methods

Impacts of education and immigration on the size and skills of the future workforce
Volume 41 - Article 12    | Keywords: Austria, Canada, immigration, labor force, literacy, microsimulation, projections

Housing consequences of divorce and separation in a 'super home ownership' regime: The case of Hungary
Volume 40 - Article 34    | Keywords: divorce, Generations and Gender Survey (GGS), housing, Hungary, intergenerational coresidence, partnership dissolution

Cited References: 36

Download to Citation Manager

Volume
Page
Volume
Article ID