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Self-Reported Levels of Personality Functioning from the Operationalized Psychodynamic Diagnosis (OPD) System and Emotional Intelligence Likely Assess the Same Latent Construct.

ABSTRACT: We tested the hypothesis that structural integration, as assessed in the Operationalized Psychodynamic Diagnosis (OPD) system, and emotional intelligence (EI), as studied in personality psychology, might be closely related constructs at a general level, as both might assess general personality functioning. In three studies (n₁ = 166, n₂ = 204, n₃ = 349), we used a self-report measure of OPD structural integration and measures of Trait and Ability EI. Structural integration and Trait EI display very high correlation at general factor level (r = .77 - .82) and almost perfect latent correlation (r = .85 - .90). This correlation cannot be explained away by the general positivity of self-views or socially desirable responding. There is also substantial latent correlation between structural integration and Ability EI (r = .20 - .65). Results replicate over different samples from different countries and extend to the DSM-5 self-report personality functioning scale.

SUBMITTER: Jauk E

PROVIDER: S-EPMC7611281 | biostudies-literature | 2021 May-Jun

REPOSITORIES: biostudies-literature

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Self-Reported Levels of Personality Functioning from the Operationalized Psychodynamic Diagnosis (OPD) System and Emotional Intelligence Likely Assess the Same Latent Construct.

Jauk Emanuel E Ehrenthal Johannes C JC

Journal of personality assessment 20200706 3

We tested the hypothesis that structural integration, as assessed in the Operationalized Psychodynamic Diagnosis (OPD) system, and emotional intelligence (EI), as studied in personality psychology, might be closely related constructs at a general level, as both might assess general personality functioning. In three studies (n1 = 166, n2 = 204, n3 = 349), we used a self-report measure of OPD structural integration and measures of Trait and Abi ...[more]

PMID: 32631173

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Project description:The traumatic event produces intolerable excitations to the psychic apparatus that searches to relief them through the production of symptoms. When established, patients with post-traumatic stress disorders (PTSD) and complex post-traumatic stress disorder (CPTSD) may experience flashbacks, somatizations, negative emotions about themselves, and difficulty in social contact. This work seeks to understand how the psychodynamic functioning of women victims of interpersonal and urban violence, diagnosed with these disorders, is organized, identifying traumatic experiences, ways of interpersonal relationships, conflicts and psychic structures and use of defense mechanisms, and for peculiarities that may differentiate these disorders. The qualitative transversal method was used through the content analysis of clinical interviews based on the Operationalized Psychodynamic Diagnosis (OPD-2). The sample of this study consisted of five women with PTSD and five with CPTSD. The following categories were created: reasons for seeking care, symptoms and desire for treatment, traumatic developmental events, and characteristics of the psychic functioning. Early trauma generates psychic organizations with greater disintegration. A new traumatic event destabilizes the psychic organization and intensifies symptoms. Relationships were marked by dependence and isolation. Participants with CPTSD presented tendency to disintegration related to the object relation regulation and the psychic conflict was of Individuation versus Dependence, with more primitive flaws in object representations, existential need for the other and direct discharge of impulses. Participants with PTSD had moderate to low level of object relation integration and the conflict was need to be care of versus self-sufficiency, with self-representations being fragile and with reduced capacity to manage impulses. Thus, it could be observed that OPD-2 is capable of assessing in a broad and deep way patients with traumatic disorders, in addition to identifying essential peculiarities to guide health professionals towards treatment in the search for better quality of life for patients.

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Project description:Although human factors (e.g., cognitive functions, behaviors and skills, human error models, etc.) are key elements to improve software development productivity and quality, the role of software developers' emotions and their personality traits in software engineering still needs to be studied. A major difficulty is in assessing developers' emotions, leading to the classic problem of having difficulties understanding what cannot be easily measured. Existing approaches to infer emotions, such as facial expressions, self-assessed surveys, and biometric sensors, imply considerable intrusiveness on developers and tend to be used only during normal working periods. This article proposes to assess the feasibility of using social media posts (e.g., developers' posts on Twitter) to accurately determine the polarity of emotions of software developers over extended periods in a non-intrusive manner, allowing the identification of potentially abnormal periods of negative or positive sentiments of developers that may affect software development productivity or software quality. Our results suggested that Twitter data can serve as a valid source for accurately inferring the polarity of emotions. We evaluated 31 combinations of unsupervised lexicon-based techniques using a dataset with 79,029 public posts from Twitter from sixteen software developers, achieving a macro F1-Score of 0.745 and 76.8% of accuracy with the ensemble comprised of SentiStrength, Sentilex-PT, and LIWC2015_PT lexicons. Among other results, we found a statistically significant difference in tweets' polarities posted during working and non-working periods for 31.25% of the participants, suggesting that emotional polarity monitoring outside working hours could also be relevant. We also assessed the Big Five personality traits of the developers and preliminarily used them to ponder the polarities inferences. In this context, Openness, Conscientiousness, and Extraversion were frequently related to neutral and positive posts, while Neuroticism is associated with negative posts. Our results show that the proposed approach is accurate enough to constitute a simple and non-intrusive alternative to existing methods. Tools using this approach can be applied in real software development environments to support software team workers in making decisions to improve the software development process.

Dataset Information

Self-Reported Levels of Personality Functioning from the Operationalized Psychodynamic Diagnosis (OPD) System and Emotional Intelligence Likely Assess the Same Latent Construct.

Publications

Self-Reported Levels of Personality Functioning from the Operationalized Psychodynamic Diagnosis (OPD) System and Emotional Intelligence Likely Assess the Same Latent Construct.

Similar Datasets

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