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Survey Methods: Insights from the Field (2)
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This study analyses determinants of the presence of an intimate partner during face-to-face
interviews. Based on theoretical assumptions about opportunity structure, social control,
social support, and companionship, we investigated partner presence using data from the first
wave of the German Family Panel (pairfam). Descriptive results revealed that an intimate
partner was present in every seventh interview. Multivariate results using separate logistic
regression models for the presence of the female (n = 3,272) and the male partner (n = 2,348)
revealed that the opportunity structure, such as the couple’s living arrangements or their
employment status, had the greatest influence on the presence of both female and male
partners. Gender differences existed for social control, social support and companionship.
The results suggest that partner presence could most easily be prevented by taking into
account the opportunity structure.This paper deals with adjustment for nonresponse in dyadic multi-actor survey designs. It presents a multi-dimensional approach to
weighting that addresses the various analytical units represented in such data, so that sampling design weights are correctly accounted
for and so that consistency between weights is achieved. This approach is demonstrated by using the primary respondents in the Divorce
in Flanders study, which is a typical example of a dyadic multi-actor design. Five sets of weighting coefficients are made available
whereby different subsets of data, according to different analytical units, are selected: the subset of the dyads, the subset of men and
women respectively, and two subsets of marriages. Post-stratification – with the year of marriage, status of the reference marriage at the
sampling date and five-year divorce cohort as auxiliary variables – was chosen as the weighting adjustment technique.