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Enregistrement W6983329841

Mediating role of empathy in the relationships between personality factors, cultural values and prosocial behavior among undergraduates in Riyadh, Saudi Arabia

2021· other· en· W6983329841 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia) · 2021
Typeother
Langueen
DomaineMedicine
ThématiqueEmpathy and Medical Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésProsocial behaviorEmpathyPersonalityBig Five personality traitsEmpathic concernCultural values
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The level of prosocial behavior among undergraduates may present new challenges to social psychologists. The results of national and global surveys indicate that the rate of prosocial behavior is lower among university students, although little is known about how certain variables contribute to the level of this behavior, particularly in Saudi Arabia. Moreover, considering the importance of empathy as the mediating role between personality factors, cultural values, and prosocial behavior, this study aims to determine the relationship between personality, cultural values, empathy, and prosocial behavior amongst undergraduates in the Riyadh region of Saudi Arabia. It also examines the role of empathy as a mediator in the relationship between personality factors and prosocial behavior. Furthermore, it seeks to determine the role of cultural values in prosocial behavior through empathy. The current research applied cross-sectional design with correlational analysis. Through a multistage sampling technique, data were collected from 460 university students from King Saud University, Imam Muhammad ibn Saud Islamic University, and Majmaah University. Personality factors (neuroticism, extraversion, conscientiousness, agreeableness, and openness) as independent variables were assessed by the International Personality Item Pool (IPIP) (Goldberg et al., 2006). In addition, cultural values (self-direction, stimulation, hedonism, achievement, power, security, tradition, conformity, benevolence, and universalism) as independent variables were evaluated by Twenty Item Values Inventory (TWIVI) (Sandy et al., 2017). Finally, empathy as a mediator variable was measured by the Toronto Empathy Questionnaire (TEQ) (Spreng et al., 2009), while prosocial behavior as a dependent variable was evaluated by Adult Prosocialness Instrument (API) (Caprara et al., 2005). SPSS was used to analyze descriptive statistics, independent sample t-test, Pearson correlation coefficient, Hierarchical Multiple Regression Modelling, and mediation analysis (Process Macro). This study applied three theories/models: Empathy-Altruism Hypothesis, Five-Factor Model, and Values Theory. The findings showed that there are differences in personality factors, cultural values, empathy, and prosocial behavior according to gender. The findings also indicated a positive relationship between extraversion, conscientiousness, agreeableness, and openness and prosocial behavior. However, neuroticism and prosocial behavior had a negative relationship. Cultural values (self-direction, stimulation, hedonism, achievement, power, security, tradition, conformity, benevolence, and universalism) showed significant correlations with prosocial behavior. The current study found that empathy had a significant relationship with prosocial behavior. Conscientiousness, agreeableness, tradition, benevolence, and universalism made it possible to predict prosocial behavior. Furthermore, this study showed that empathy mediates the relationship between personality factors (agreeableness and conscientiousness) and prosocial behavior, as well as between cultural values (benevolence and universalism) and prosocial behavior. Based on these findings, it can be concluded that prosocial behavior can be affected by gender, personality factors, cultural values, and empathy. Female undergraduates with higher levels of conscientiousness, agreeableness, universalism, hedonism, and empathy showed high levels of prosocial behavior. Meanwhile, male undergraduates with higher levels of neuroticism, extraversion, tradition, stimulation, and power, and decreased empathy, had low levels of prosocial behavior. Furthermore, undergraduates with extraversion, conscientiousness, agreeableness, and openness acted prosocially. Aside from this, neuroticism had a negative impact on prosocial behavior, while undergraduates who achieved high scores in self-direction, stimulation, hedonism, achievement, power, security, tradition, conformity, benevolence, and universalism had high levels of prosocial behavior. Finally, empathetic undergraduates behaved more prosocially. Undergraduates who had personality dominance to conscientiousness, and agreeableness and values (benevolence and universalism), tended to be more empathetic and help others. The study suggests some recommendations for the Ministry of Education, universities, and psychologists to develop the level of prosocial behavior in undergraduates by considering the influence of personality factors, cultural values, and empathy. This study also proposes that universities should obtain information on the personalities of new undergraduates by using a screening test to plan treatment strategies with psychologists for undergraduates who are neurotic. Universities should consider their curricula and teaching by focusing on cultural values that enhance the level of prosocial behavior among undergraduates. This study sheds substantial new light on prosocial behavior among undergraduates in Saudi Arabia.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,016

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,027
Tête enseignante GPT0,260
Écart entre enseignants0,232 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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