Personality Profiles: A Person-Centered Approach to Assessing Personality Traits and Links to Emotion Regulation Processes.
Saved in:
| Title: | Personality Profiles: A Person-Centered Approach to Assessing Personality Traits and Links to Emotion Regulation Processes. |
|---|---|
| Authors: | Karababa, Ali (AUTHOR) |
| Source: | Journal of General Psychology. Jan-Mar2026, Vol. 153 Issue 1, p24-45. 22p. |
| Subjects: | Emotion regulation, Five-factor model of personality, Psychological typologies, Latent class analysis (Statistics), Psychological resilience, Cognitive restructuring therapy |
| Abstract: | This study aimed to identify personality profiles using dimensions of the five-factor model and examined whether resultant profiles were associated with emotion regulation processes. The participants included a normative sample of 383 (201 females and 182 males) Turkish university-attending emerging adults who were 18 to 25 years old. Latent profile analysis (LPA) was employed to identify distinct patterns of Big Five personality traits. The findings demonstrated that the 3-profile solution proved best-fitting: Resilient (higher openness, extraversion, conscientiousness, and agreeableness and lower neuroticism; N = 183 (97 females), 47.8%), overcontrolled (higher neuroticism and agreeableness, moderate conscientiousness, and lower openness and extraversion; N = 153 (80 females), 39.9%), and undercontrolled (higher neuroticism, extraversion, and openness and lower conscientiousness and agreeableness; N = 47 (24 females), 12.3%). The findings demonstrated that resilients, compared to overcontrollers and undercontrollers, were more likely to engage in cognitive reappraisal. On the other hand, overcontrollers tended to use the expressive suppression strategy more than resilients. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of General Psychology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
