| Literature DB >> 35450340 |
Tak Sang Chow1,2, Chin Ming Hui3, Tiffany Sok U Siu2.
Abstract
Past research suggested that when individuals feel that it is their free choice to perform a task, they are more likely to succeed. However, little has been known about the effect of perceived choice of self-control and the psychological processes underlying the benefits of this perception in everyday contexts. To fill this gap, a 7-day experience sampling study (115 college students and 1,725 reported episodes of self-control) was conducted to test whether confidence in sustaining the current self-control activity (expectancy) and perceived value of current self-control (value) could mediate the link between perceived choice and success in the current self-control activity. The results of multilevel analysis suggested that the perceived choice can boost self-control success by increasing expectancy and value of self-control. These findings add mechanistic understanding of the effect of perceived choice on self-control success.Entities:
Keywords: expectancy; self-control; self-determination; self-efficacy; value
Year: 2022 PMID: 35450340 PMCID: PMC9018001 DOI: 10.3389/fpsyg.2022.851964
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Mean, variance, ICC, and bivariate correlations of all study variables.
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| 1. Perceived choice | 4.67 | 2.49 | 0.25 | – | 0.23 | 0.14 | 0.17 |
| 2. Efficacy | 4.85 | 1.92 | 0.22 | 0.39 | – | 0.45 | 0.58 |
| 3. Value | 4.87 | 1.98 | 0.32 | 0.18 | 0.66 | – | 0.45 |
| 4. Success | 4.92 | 2.01 | 0.27 | 0.28 | 0.90 | 0.65 | – |
Efficacy, expected ability to exert self-control; Value, value of overall performance; ICC, intraclass correlation. Numbers above the diagonal represent the within-individual correlation while numbers below the diagonal represent the between-individual correlation.
p < 0.01,
p < 0.001.
1-1-1 multilevel mediation model testing the mediation effect of expectancy and value in the association between perceived choice of self-control and self-control success.
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| Intercept | 4.67 | 2.01 | [0.73, 8.61] |
| Path ab1 | −0.46 | 0.28 | [−1.00, 0.08] |
| Path ab2 | −0.23 | 0.30 | [−0.78, 0.33] |
| Path bb1 | 0.08 | 0.24 | [−0.40, 0.55] |
| Path bb2 | 0.00 | 0.22 | [−0.43, 0.43] |
| Indirect effect 1 | −0.13 | 0.16 | [−0.43, 0.18] |
| Indirect effect 2 | −0.02 | 0.07 | [−0.17, 0.12] |
| Direct effect | −0.78 | 0.36 | [−1.50,-0.08] |
| Total effect | 0.04 | 0.14 | [−0.23, 0.32] |
| Residual variance success | 3.28 | 0.81 | [1.70, 4.86] |
| Residual variance expectancy | 2.29 | 0.61 | [1.09, 3.49] |
| Residual variance value | 2.43 | 0.65 | [1.25, 3.62] |
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| Path aw1 | 0.23 | 0.05 | [0.13, 0.32] |
| Path aw2 | 0.14 | 0.04 | [0.06, 0.22] |
| Path bw1 | 0.46 | 0.05 | [0.36, 0.55] |
| Path bw2 | 0.28 | 0.04 | [0.19, 0.36] |
| Indirect effect 1 | 0.12 | 0.03 | [0.06, 0.18] |
| Indirect effect 2 | 0.06 | 0.02 | [0.01, 0.10] |
| Direct effect | 0.01 | 0.01 | [−0.04, 0.05] |
| Total effect | 0.14 | 0.03 | [0.08, 0.21] |
| Residual variance success | 0.71 | 0.08 | [0.55, 0.88] |
| Residual variance expectancy | 1.24 | 0.12 | [1.00, 1.49] |
| Residual variance value | 1.20 | 0.13 | [0.95, 1.44] |
Model is a random slopes model. Path a.
p < 0.05,
p < 0.01,
p < 0.001.