Open AccessCausal Relationship Modeling of the Implicit Theories of Emotion and Emotion Regulation in View of the Cognitive Reappraisal Strategy and Happiness
Author(s) -
Abdelsalam H. Abdelrahman,
Khaldoun I. Al Dbabi
Publication year - 2019
Publication title -
mağallaẗ al-dirāsāt al-tarbawiyyaẗ wa-al-nafsiyyaẗ/journal of educational and psychological studies
Language(s) - English
Resource type - Journals
eISSN - 2521-7046
pISSN - 2218-6506
DOI - 10.24200/jeps.vol13iss3pp538-557
Subject(s) - happiness , psychology , cognitive reappraisal , path analysis (statistics) , causal model , cognition , social psychology , structural equation modeling , scale (ratio) , causal analysis , cognitive psychology , econometrics , mathematics , statistics , physics , quantum mechanics , neuroscience
The purpose of this study was to unveil the causal relationship modeling of the implicit theories of emotion and emotion regulation in view of cognitive reappraisal strategy and happiness for the students of the Jordanian University of Science and Technology (JUST). Based on scientific foundations, the study has constructed a proposed causal relationship model using path analysis for interpreting happiness. To achieve this goal, the emotion regulation, by Gross and John (2003), the implicit theories of emotion Scale of Livingstone, (2012), and the Oxford Happiness Inventory were employed. The sample consisted of 350 students who were chosen on availability grounds. The results of the study showed no statistically significant differences between the proposed and the optimal causal relationship models due to high matches on: AGFI=0.90, NFI=0.98, GFI=0.99, TLI =0.933, CFI=0.99, RMR=0.022. Thus, the model explained the relationships proposed and represented the optimal causal relationship model for the variables of the study.