The High Five: Associations of the Five Positive Factors with the Big Five and Well-being

The High Five Model as a predictor of academic performance over conventional psychological predictors in university students

Introduction

The High Five Model (HFM) categorizes five positive human characteristics-erudition, peace, joviality, honesty, and tenacity-utilizing an inductive psycholexic approach. This study examines the predictive power of HFM on academic performance among university students, hypothesizing that it surpasses conventional predictors such as academic motivation, exam anxiety, and academic procrastination.

Methods

A non-experimental cross-sectional correlational design was implemented using a non-probabilistic convenience sample of 1,007 Ecuadorian university students (403 females). Self-reported measures of the "high factors," academic motivation, exam anxiety, and academic procrastination were collected. Linear regression analysis was utilized to evaluate the predictive capacity of the HFM on academic performance.

Results

The analysis revealed that the high factors of the HFM significantly predict academic performance, demonstrating a stronger predictive ability than traditional psychological predictors.

Discussion

The findings suggest that incorporating the HFM into academic settings could enhance understanding and prediction of student performance. This could potentially inform targeted interventions that leverage these high factors, thereby fostering better academic outcomes. Further research could explore the integration of the HFM with other educational strategies and its applicability across diverse educational contexts.

Helping Others Results in Helping Yourself: How Well-Being Is Shaped by Agreeableness and Perceived Team Cohesion

This longitudinal research explores team cohesion as a potential mediator explaining the associations between agreeableness as a personality trait and well-being. Additionally, the study examines whether the leader offering support moderates the mediating role of perceived group cohesion. The sample consists of male military personnel (N = 648) from six different units. The longitudinal design examined two time points, T1 and T2, during the soldiers' training period. The PROCESS macro for SPSS was utilized to determine the significance of the moderator and the mediation effect. The results indicate that an agreeable personality and team cohesion at T1 predicted increased well-being at T2 (two months later). In addition, the moderated mediation hypothesis was significant, indicating that when leaders offered more support, the indirect link between an agreeable personality and well-being via team cohesion was stronger than when they offered less. The findings suggest that an agreeable personality and leader support are important in the organizational domain, and these variables promote well-being. By understanding the contribution of both external and internal sources of support to soldiers' well-being, intervention plans can be developed to lessen the stressors of their mental well-being and help them reach their maximum potential.

The impact of consumer positive personality on the purchase behavior of smart products

While the consumption of smart products is continuously increasing, it is essential to explore the trigger mechanism of consumer behavior in respect of smart product purchase. In this scenario, we aim to investigate the impact of consumers’ positive personality on the purchase behavior. We constructed a structural equation model based on the partial least square method and tested our hypotheses on the basis of data analysis. The data were collected by conducting a survey of 326 Chinese consumers. We found two affecting paths from consumers’ positive personality to smart product purchase. First, consumer knowledge promoted by positive personality raises purchase intention and, in turn, stimulates purchase behavior. Second, consumers’ positive personality improves perceived income, which determines actual purchase behavior. This study deepens our understanding of the trigger mechanism of smart product purchase behavior and enriches the consumer behavior theory.

The High Five Model: Associations of the High Factors With Complete Mental Well-Being and Academic Adjustment in University Students

Traditionally, models of positive personality traits have referred to moral characteristics. The High Five Model (HFM) is a factor model of individual positive traits based on an inductive psycho-lexical approach. Unlike other models, in the HFM the positive characteristics were freely determined by lay people, beyond any moral tones. The HFM comprises the following factors: erudition, peace, cheerfulness, honesty, and tenacity, known as “the high factors.” This model was shown to positively exceed the capacity of normal personality to predict emotional, social, and psychological well-being. Additionally, this model is negatively associated with non-transmissible diseases, psychopathological symptoms, and psychopathological personality traits. This study aimed to increase the validation of the HFM, by analyzing the relationships among this model and positive mental health, psychopathological symptoms, academic adjustment, and academic performance in university students. Another objective was to study the association between complete mental well-being (i.e., high well-being and low psychopathological symptomatology) and the high factors of the HFM. The sample consisted of 256 university students. Correlations were calculated, and the two-step cluster analysis was used to obtain profiles. The results showed that tenacity and erudition high factors are positively associated with academic achievement and academic adjustment. Finally, each of the high factors was positively associated with complete mental well-being. The HFM has a broad scope, as it is related not only to psychological variables (e.g., well-being or psychopathological symptomatology) but also to academic performance (e.g., adjustment and achievement) in university students.

The Positive Personality Model (PPM): Exploring a New Conceptual Framework for Personality Assessment

The aim of this paper is to explore a new framework for personality assessment that may function as sanity nosology of personality traits: the Positive Personality Model (PPM). The recent publication of DSM-5 created the opportunity to assess personality traits as dimensional constructs (American Psychiatric Association, 2013). In Section III, five maladaptive personality traits are proposed as the maladaptive versions of Five Factor Model (FFM) traits (Costa and McCrae, 1985). This approach draws on the existing idea of conceptualizing pathological and typical personality traits as part of a continuum. It places DSM-5′s maladaptive traits in a sickness pole and FFM’s traits in a “typical” pole. This spectrum, however, does not include a positive perspective that represents healthy behavior: a sanity nosology. The Positive Traits Inventory-5 (PTI-5; de la Iglesia and Castro Solano, 2018) is a measure designed to assess the positive reverse of the Personality Inventory for DSM-5-Adult (PID-5; Krueger et al., 2013). The 220 positive personality criteria were studied psychometrically using a sample of 1902 Argentinean adults from the general population (M_age = 39.10, SD = 13.81, Min = 18, and Max = 83; 50.1% females, 49.9% males). Exploratory and confirmatory factor analyses resulted in a five-factor solution. The dimensions were labeled Sprightliness, Integrity, Serenity, Moderation, and Humanity and subsumed under the denomination of PPM. Analyses of convergent validity provided some grounds for interpreting the five positive traits as positive versions of the pathological traits and the typical traits. When tested for its predictive capability on mental health, the PPM outperformed the variance explained by the FFM. It is concluded that the PPM may constitute a positive pole in the continuum of personality traits –possibly functioning as a sanity nosology– and that it is somewhat more related to optimal functioning than typical trait models. The PPM should be confirmed in other populations, its predictive capability ought to be tested with other relevant variables, and longitudinal studies should be done to analyze the stability of the traits over time.