title: Investigating the Goldilocks Hypothesis: The Non-Linear Impact of Positive Trait Change on Well-Being.
abstract: This paper attempts to reconcile two perspectives on the impact of positive trait change. The first perspective views positive trait change as salubrious because it reflects the process of self-enhancement, whereas the second perspective views positive change as costly because it disrupts the self-verification process. We propose that benefits and costs accrue at discrete rates, such that moderate positive trait change is more beneficial than too little and too much positive change. This constitutes a Goldilocks hypothesis. Using the MIDUS longitudinal dataset (N = 1,725) we test this hypothesis on four traits, namely, social extraversion, agentic extraversion (agency), conscientiousness, and neuroticism. The Goldilocks hypothesis was supported for social extraversion, agentic extraversion (agency), and conscientiousness. Reduction in neuroticism seemed uniformly predictive of higher well-being. Thus, not all amounts of positive trait change are beneficial. While we find no evidence for a limit to the benefits of reduced neuroticism, there is a "just right" amount of positive change in extraversion and conscientiousness that results in the highest level of well-being. Our findings suggest that non-monotonic models may be more valid in investigations of personality change and well-being.
authors.affiliation: Emory University, Atlanta, Georgia, United States of America.
authors.forename: Chris C
authors.initials: CC
authors.lastname: Martin
authors.affiliation: Emory University, Atlanta, Georgia, United States of America.
authors.forename: Corey L M
authors.initials: CL
authors.lastname: Keyes
mesh_terms: D000328:Adult; D000368:Aged; D001008:Anxiety Disorders / Q000523:psychology*; D003243:Consciousness; D005120:Extraversion, Psychological; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008960:Models, Psychological; D000075384:Neuroticism; D010552:Personality Assessment; D012044:Regression Analysis; D012919:Social Behavior; D011795:Surveys and Questionnaires