The aim of this study was to examine the casual relationship of personality characteristics with academic burnout mediating academic self-efficacy and perceived academic stress in male and female students studying at M.A in the University of Chamran. The participants of the study were 280 male and female students who were selected by multi-stage random sampling method. The instruments used in this study were the Neo-Five Factor Inventory (NEO-FFI), Perceived academic stress Inventory, Academic burnout Inventory and academic self-efficacy scale. The fitness of the proposed model was examined through using path analysis. The indirect effects were tested by bootstrap (AMOS-21software) was used. The results showed that indirect effects extroversion, conscientiousness, openness to experience and neuroticism through academic self-efficacy on academic burnout was significant. In addition all of indirect effects extroversion, conscientiousness, openness to experience and neuroticism through Perceived academic stress on academic burnout was significant.
Saranche, M., Maktabi, G., & Haji Yakhchali, A. (2014). Casual Relationship of Personality Characteristics with Academic Burnout Mediating Academic Self-efficacy and Perceived Academic Stress in Students. Psychological Models and Methods, 5(17), 75-92.
MLA
M. Saranche; Gh. Maktabi; A. Haji Yakhchali. "Casual Relationship of Personality Characteristics with Academic Burnout Mediating Academic Self-efficacy and Perceived Academic Stress in Students". Psychological Models and Methods, 5, 17, 2014, 75-92.
HARVARD
Saranche, M., Maktabi, G., Haji Yakhchali, A. (2014). 'Casual Relationship of Personality Characteristics with Academic Burnout Mediating Academic Self-efficacy and Perceived Academic Stress in Students', Psychological Models and Methods, 5(17), pp. 75-92.
VANCOUVER
Saranche, M., Maktabi, G., Haji Yakhchali, A. Casual Relationship of Personality Characteristics with Academic Burnout Mediating Academic Self-efficacy and Perceived Academic Stress in Students. Psychological Models and Methods, 2014; 5(17): 75-92.
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