Coping resources as mediators of multidimensional perfectionism and burnout.

Abstract

This study examined the relationship between 2 dimensions of perfectionism (perfectionistic strivings and perfectionistic concerns) and burnout and the role that coping resources may play in mediating the relationship between these variables. Participants for this study included 235 employees from a large consulting firm in the Netherlands. The hypothesis that perfectionistic strivings would be negatively related to burnout was supported. This finding suggests that perfectionistic strivings may shield an individual from certain forms of psychological distress and be accompanied by lower burnout. The hypothesis that perfectionistic concerns would be positively related to burnout was also supported. This finding suggests that perfectionistic concerns are related to negative psychological and work consequences that may contribute to higher levels of burnout. Also as hypothesized, coping resources (cognitive restructuring and functional beliefs) mediated the relationships between both dimensions of perfectionism and burnout.

Academic resilience as mediator of multidimensional perfectionism and academic performance among gen-Z undergraduate students

“…Academic resilience is measured with the totalled score of the 30-items on the ARS-30 [24] with a 5-point Likert scale. Items 2,4,8,9,10,11,13,16,17,18,20,21,22,23,24,25,26,27,29, and 30 are reverse scored. Higher totalled score would indicate higher academic resilience.…”

“…The 24-item scale utilize a 7-point Likert scale ranging from 1 (Strongly Disagree) to 7 (Strongly Agree). The High Standard subscale consist of 7 items (item 1, 5, 8, 12, 14, 18, and 22) which were used to measure perfectionistic strivings, which has strong Cronbach alpha value of .72 [20]. Sample items include "I have high expectations for myself" and "I expect the best from myself".…”

“…Sample items include "I have high expectations for myself" and "I expect the best from myself". Perfectionistic concerns were measured using the Discrepancy subscale consisting of 12 items (item 3, 6, 9, 11, 13, 15, 16, 17, 19, 20, 21, and 23), yielding high Cronbach alpha value of .91 [20]. Sample items include "I rarely live up to my high standards" and "I am never satisfied with my accomplishments".…”

“…In a model, the three predictors PS, PC, and academic resilience all had a tolerance statistic above 0.2 and VIF values below 10, which are suggested by Field [39] to be indication of no collinearity in the data. Moreover, assumptions of normality and skewness are not checked as bootstrapping approach is a non-parametric test that does not rely on variables being normally distributed and skewed [20]. Lastly, assumption of independence of observations of predictors were not assessed as there was no reason to assume one when PS and PC are covaried [20].…”

“…Moreover, assumptions of normality and skewness are not checked as bootstrapping approach is a non-parametric test that does not rely on variables being normally distributed and skewed [20]. Lastly, assumption of independence of observations of predictors were not assessed as there was no reason to assume one when PS and PC are covaried [20].…”