Attrition in the Austrian Generations and Gender Survey

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...

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Main Author: Buber-Ennser, Isabella
Format: Others
Language:en
Published: Max Planck Institute for Demographic Research 2014
Online Access:http://epub.wu.ac.at/5789/1/31%2D16.pdf
http://dx.doi.org/10.4054/DemRes.2014.31.16
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spelling ndltd-VIENNA-oai-epub.wu-wien.ac.at-57892017-10-04T05:55:58Z Attrition in the Austrian Generations and Gender Survey Buber-Ennser, Isabella 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. Max Planck Institute for Demographic Research 2014 Article PeerReviewed en application/pdf http://epub.wu.ac.at/5789/1/31%2D16.pdf Creative Commons: Attribution-NonCommercial 2.0 Germany (CC BY-NC 2.0 DE) http://dx.doi.org/10.4054/DemRes.2014.31.16 https://www.demographic-research.org/volumes/vol31/16/ https://www.mpg.de/de https://www.demographic-research.org/info/default.htm http://dx.doi.org/10.4054/DemRes.2014.31.16 http://epub.wu.ac.at/5789/
collection NDLTD
language en
format Others
sources NDLTD
description 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.
author Buber-Ennser, Isabella
spellingShingle Buber-Ennser, Isabella
Attrition in the Austrian Generations and Gender Survey
author_facet Buber-Ennser, Isabella
author_sort Buber-Ennser, Isabella
title Attrition in the Austrian Generations and Gender Survey
title_short Attrition in the Austrian Generations and Gender Survey
title_full Attrition in the Austrian Generations and Gender Survey
title_fullStr Attrition in the Austrian Generations and Gender Survey
title_full_unstemmed Attrition in the Austrian Generations and Gender Survey
title_sort attrition in the austrian generations and gender survey
publisher Max Planck Institute for Demographic Research
publishDate 2014
url http://epub.wu.ac.at/5789/1/31%2D16.pdf
http://dx.doi.org/10.4054/DemRes.2014.31.16
work_keys_str_mv AT buberennserisabella attritionintheaustriangenerationsandgendersurvey
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