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Modeling Partially Incomplete Marital Satisfaction Data

Hasselt University, Diepenbeek, Belgium

Ann Van den Troost

Katholieke Universiteit Leuven, Belgium

Geert Molenberghs

Hasselt University, Diepenbeek, Belgium

Ad A. Vermulst

Jan R. M. Gerris

University Nijmegen, the Netherlands

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.

Key Words: complete case analysis • direct likelihood • dropout • imputation • missing at random • missing completely at random • missing data

Sociological Methods & Research, Vol. 35, No. 1, 113-136 (2006)
DOI: 10.1177/0049124106289163


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