Aidman, Evgeny V.
Ph.D in Psychology
Sc.D. (psychology), professor at the School of Psychology, The University of Sydney, NSW, Australia,
School of Biomedical Sciences & Pharmacy, University of Newcastle, NSW, Australia
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Meaningfulness and action orientation as predictors of self-control and willpower traitsLomonosov Psychology Journal, 2020, 2. p. 3-25read more3289
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Background. This study examined a set of personality traits related to self-control or willpower, (WP), and how self-ratings of these self-control traits are influenced by the cognitive constructs of action (versus state) orientation and meaningfulness.
Design. The subjects were 943 university students, aged 17–29 (M = 19.5 years), who volunteered to complete J. Kuhl's (1996) Action-State Orientation (ASO) scale, a Russian adaptation of the Purpose In Life test (PIL) as a measure of meaningfulness and sense-making capacity, and self-ratings of self-control traits, such as “persistence”, “decisiveness”, and “self-discipline” that produced an aggregate measure of WP and four willpower factors reflecting (1) emotional regulation, (2) commitment to action, (3) energy, and (4) execution.
Results. State-oriented ineffective sense-makers (those who scored low on both ASO and PIL) rated themselves the lowest on WP. Conversely, action-oriented effective sense-makers (high scorers on both ASO and PIL) produced the highest WP self-ratings. Mediator-modelling regression analyses showed ASO and PIL to be predictive of self-rated WP – both independently, and by mediating each other’s influence on aggregate WP ratings. However, the predictive power of PIL was substantially higher than that of ASO, and the overall pattern of prediction varied across the four willpower sub-factors.
Conclusion. Our results confirm the role of sense-making as a key mechanism of volitional regulaiton, and its interactions with cognitive resources such as action-orientation dispositions captured by ASO.Keywords: willpower; self-control traits; self-rating; meaningfulness; action-state orientation; mediation modelling DOI: 10.11621/vsp.2020.02.01
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