Enneagram typologies and healthy personality to psychosocial stress: A network approach

Abstract

IntroductionEnneagram typologies may impact psychological well-being and stressful situations in college students. However, the literature is still limited in the study of dynamic personality models such as the Enneagram in Spanish-speaking university students, and a better understanding is needed.ObjectiveTo analyze network associations and centrality measures of Enneagram personality typologies in Peruvian university students.MethodsA total of 859 Peruvian university students responded to two instruments assessing: The Pangrazzi’s Enneagram personality types and healthy personality to psychosocial stress. All instruments showed good psychometric values (validity and consistency). A regularized cross-sectional network structure was estimated with Gaussian graphical model and the graphical LASSO.ResultsEnneagram types 4, 5, and 6 presented the highest and positive associations in the network structure. Type 6 emerged as the node with the highest predictability. The healthy personality and type 7 acted as bridges between the communities, with types 6, 7, and 8 being the most central nodes.ConclusionThe findings suggest that Enneagram type 7 with healthy personality to psychosocial stress plays an important role in the development of the causal activation of the network model. The network shows causal associations between psychosocial stress and types 6, 7, 8, and 9.

Validation of the Working Alliance Inventory- Short Form for Patient (WAI-S-P) in Peruvian Adults

“…This provides a more complete understanding of the relationships between categorical variables and their influence on the phenomenon studied. 61 , 62 In addition, the accuracy and robustness of the association weights were evaluated by running 3000 bootstrap samples. 63 …”

“…This provides a more complete understanding of the relationships between categorical variables and their influence on the phenomenon studied. 61,62 In addition, the accuracy and robustness of the association weights were evaluated by running 3000 bootstrap samples. 63 Finally, to assess the relationships between all study variables and sociodemographics, network analysis was employed as the methodology.…”

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