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Daily affective reactivity refers to the within-subject relationship between daily stress and daily mood. Most stress researchers have conceptualized daily affective reactivity as a dependent variable to be predicted by individual difference variables such as personality and psychopathology. In contrast, in our recent research, we have conceptualized daily affective reactivity as an independent variable that can predict depressive symptoms. In this article, we summarize three studies that relied on a daily process methodology and multilevel modeling to assess affective reactivity in the context of daily stressful events. Two of the studies (Cohen, Butler, Gunthert, & Beck, 2005; Gunthert, Cohen, Butler, & Beck, 2005) sampled adult outpatients in cognitive therapy and evaluated the predictive role of daily affective reactivity in treatment outcome (depression reduction). A third study (O'Neill, Cohen, Tolpin, & Gunthert, 2004) evaluated the predictive role of college students' daily affective reactivity in the development of depressive symptoms. We consider the strengths and weaknesses of a daily process methodology for research on depression in both clinical and nonclinical samples.

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We used a daily process design and multilevel modeling to examine the role of borderline personality features in the day-to-day stability of college students' negative affect and self-esteem and their reactivity to interpersonal stressors. At the end of each day for two weeks, students completed a checklist of daily stressors and measures of state affect and self-esteem. We predicted that high scores on a measure of borderline features would be related to more daily interpersonal stressors, greater negative affective and self-esteem reactivity to these stressors, and less day-to-day carryover of negative mood and self-esteem. The first and third hypotheses were supported, but not the second. The findings demonstrate the utility of a daily process methodology and multilevel modeling to study the day-to-day functioning of individuals with borderline features.

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