Modeling Partially Incomplete Marital Satisfaction Data

Ivy Jansen, Ann Van den Troost, Geert Molenberghs, Ad A. Vermulst and Jan R. M. Gerris
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Ivy Jansen: Hasselt University, Diepenbeek, Belgium
Ann Van den Troost: Katholieke Universiteit Leuven, Belgium
Geert Molenberghs: Hasselt University, Diepenbeek, Belgium
Jan R. M. Gerris: University Nijmegen, the Netherlands

Sociological Methods & Research, 2006, vol. 35, issue 1, 113-136

Abstract: The authors analyze data on marital satisfaction, obtained from couples at two distinct moments in time (1990, 1995). The data are of a bivariate longitudinal type. Moreover, some couples provide incomplete records only, usually because the 1995 follow-up interview has not taken place. The authors propose a hierarchical modeling strategy that takes all these features into account and is more generally valid than a classical complete case or single imputation-based strategy.

Keywords: complete case analysis; direct likelihood; dropout; imputation; missing at random; missing completely at random; missing data (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:35:y:2006:i:1:p:113-136

DOI: 10.1177/0049124106289163

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