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Affect optimization and affect complexity: modes and styles of regulation in adulthood
Gisela Labouvie-Vief1, Marshall Medler
1Department of Psychology, Wayne State University, Detroit, Michigan 48202, USA. gvief@sun.science.wayne.edu
Psychology and Aging
|January 1, 2003
Summary
This study reveals two distinct affect regulation strategies: affect optimization (maximizing positive emotions) and affect complexity (seeking emotional depth). These strategies correlate with relationship quality and socioeconomic factors, respectively.
Area of Science:
- Psychology
- Social Psychology
- Emotional Regulation
Background:
- Affect regulation is crucial for psychological well-being.
- Existing models may not fully capture the nuances of emotional management.
- The interplay between positive/negative affect and cognitive complexity warrants further investigation.
Purpose of the Study:
- To investigate two independent affect regulation strategies: affect optimization and affect complexity.
- To examine the relationship between these strategies and demographic/social variables.
- To understand the differential significance of positive affect based on affect complexity.
Main Methods:
- Assessed community residents aged 15-86.
- Utilized two convergent measurement domains: affect (positive-negative) and cognitive-affective complexity, and coping/defense mechanisms.
- Employed quantitative measures to analyze affect regulation dimensions.
Main Results:
- Confirmed the existence of affect optimization and affect complexity dimensions.
- Affect optimization dimensions significantly correlated with relationship quality.
- Affect complexity dimensions showed significant associations with socioeconomic status and education.
Conclusions:
- Affect regulation comprises distinct optimization and complexity strategies.
- Relationship quality is linked to maximizing positive affect.
- Socioeconomic status and education are associated with emotional differentiation and objectivity.
- The role of positive affect varies depending on the level of affect complexity.