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Record W3119350397 · doi:10.6007/ijarbss/v10-i16/8303

How do Personality Factors Associate with Prosocial Behavior? The Mediating Role of Empathy

2020· article· en· W3119350397 on OpenAlexaboutno aff
Alsalman Arwa Abdullah, Hanina H. Hamsan, Aini Azeqa Ma’rof

Bibliographic record

VenueInternational Journal of Academic Research in Business and Social Sciences · 2020
Typearticle
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsProsocial behaviorEmpathyPsychologyAgreeablenessPersonalityMediationSocial psychologyDevelopmental psychologyPersonal distressBig Five personality traitsExtraversion and introversion

Abstract

fetched live from OpenAlex

This research aims to examine the relationships between empathy, prosocial behaviour, and personality factors among Saudi undergraduate students. In total, 394 Saudi undergraduates participated in the study, which employed the prosocial behaviour scale (PBC), international personality item pool (IPIP), and Toronto empathy questionnaire (TEQ). The Pearson correlation analysis was used to investigate the associations between the research variables, while process macro analysis used to examine whether empathy mediates the association between agreeableness and prosocial behaviour. The research findings indicate that personality factors are related to empathy. Saudi undergraduates who show higher degrees of empathy would also show high degrees of prosocial behaviours. In addition, personality factors were similarly associated with prosocial behaviour. The results also show that empathy mediates the relationship between prosocial behaviour and agreeableness. The results of this study expand the existing literature review on prosocial behaviour by explaining how personality factors influence prosocial behaviour through the mediation role of empathy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.488

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.240
GPT teacher head0.480
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2020
Admission routes1
Has abstractyes

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