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This study examined die predictive utility of two observational measurement methods for examining marital social support. Eighty-two married couples completed self-report measures, and 10 minute videotaped supportive interactions. The interactions were designed to elicit discussion of cunent problems that were outside the couple's marital relationship. The first method of measurement was a macro-observational method—the Iowa Family Interaction Rating Scales (IFIRS: Melby et al., 1993), based on global ratings of the couples' interactions that fit descriptions of listener responsiveness, warmth, and hostility. The second method was a micro-observational method—the Social Support Behavior Code (SSBC: Suhr, 1990; Cutrona & Suhr, 1992,1994), based on fixquency counts of six types of social support. These six types were; emotional support, esteem support, information support tangible support, anentiveness, and negative behaviors. The dependent variables were; post-interaction mood, spousal supportiveness, and satisfaction with the interaction, and these relationships were examined using multiple hierarchical regressions. Most impoitandy, the miCTO codes of negative behaviors and tangible support predicted these outcome variables for wives. In addition, the micro code infonnational support successfully predicted husbands' evaluations of their wives' supportiveness and husbands' satisfaction with the interaction. However, when predicting husbands' post-interaction mood, the macro code of warmth was the only significant predictor. Therefore, to die extent that ratings of brief n<»i-conflict interactions predict evaluations of spousal supportiveness, the micro codes explained somewhat more of the variance dian the macro codes.

Comparison of macro and micro observational methods for measuring marital social support