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Measurement and data analytic strategies appropriate for couples research are distinct from traditional approaches for research with individuals. Both conceptual and structural characteristics of measurements influence subsequent approaches to data analysis. In this article, the authors emphasize issues of nonindependence in couples' data and discuss data analytic techniques applicable when the predictor variables vary between-couples, within-couples, or both ( mixed variables). Both univariate and multivariate analyses of correlational and experimental data are presented. Issues involved in the analysis of sequential observations across time are briefly summarized. A critique of conceptual and methodological advances in couples research should improve both the accessibility and application of these strategies.
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