Examining Day-Specific Self-Control Demands and Psychological Well-being

Correlations

Nonparametric Correlations

Correlations

Statistical Analysis

All statistical analyses were conducted using SPSS 22.0 (SPSS Inc.). For Test 1, group effects were assessed with separate Multi level Variation with planned follow-up contrasts (Fisher’s LSD), with effect size for observed significant main effects reported with ETA2 (η2). Note that for this measure of effect size, .01 is considered to be a small effect, .06 = medium, .13 = large [39]. Follow up group contrasts (that is, when directly comparing one group to another) effect sizes are reported with Cohen’s d (calculated from estimated marginal means: Mean1-Mean2/Pooled SD, where .2 = small effect, .5 = medium, .8 = large [39]). For Test 2, improvement in cognitive control was assessed with a linear mixed model repeated measures analysis, with subject acting as a random effect. For this analysis, a compound symmetry correlation structure among repeated measures was used to compare pre to post performance. Planned follow-up contrasts were constructed for each mixed model to directly assess changes within each group, with the effect sizes of these within-group changes reported via Cohen’s d. We also calculated the estimated marginal mean gain score (pre-post/post-pre) to further understand significant interactions from the mixed model analysis. To minimize influential data points, we removed values +/- 2 standard deviations for all group analyses. For correlations tested in Experiment 2, we used a more stringent outlier removal procedure (Cook’s D > 1 [40]) given the smaller cohort size and possible inflated change scores. Those who need assistance may consider seeking statistics dissertation help. De-identified individual scores for Experiment 1 and 2 are presented in the S1 Dataset.

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Discussion

Research on tax complexity, role conflict and self-control strongly suggests that demands on self-control and the associated depletion of regulatory resources are negatively related to psychological well-being. Also, there is initial evidence that shows that SCDs may fluctuate from often and that these day-specific SCDs draw on and deplete limited regulatory resources (Muraven et al., 2005). On the basis of these propositions, we examined the relationships between job-related day-specific SCDs and day-specific indicators of psychological well-being. Additionally, we sought to identify moderators that may determine day-specific availability, as well as usage of limited regulatory resources, which thus have the potential to attenuate the negative relations of day-specific SCDs and psychological well-being. Our results indicate that SCDs exhibit day-specific fluctuations that are related to day-specific changes in indicators of well-being. More precisely, on days with high SCDs, employees are more likely to suffer from increased ego depletion and need for recovery and impaired work-engagement compared with low day-specific SCDs. in addition, consistent with the SDT and the broaden and build theory of positive emotions, we demonstrate that affective commitment attenuates the day-specific negative relationships between SCD5 and psychological well-being. Thus, when SCDs are high, strongly committed employees are less susceptible to impairments in psychological well-being because of SCDs compared with less committed employees. In summary, as predicted, affective commitment can protect employees from the adverse effects of day-specific SCDs. 5.1

Theoretical implications

Our study contributes to the literature on self-control in multiple ways. First, we complement previous studies that examined SCDs as stable attributes of work by providing initial evidence for day-specific variations in work-related SCDs. Thus, in addition to the in terindividual variations of SCDs, our research also demonstrates the intraindividual day-specific variations of SCDs that may be related to day-specific events at work that require employees to exert self-control.

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Second, consistent with the limited strength model of self-control, our study provides initial evidence for negative relationships between job-related day-specific SCDs and psychological well-being. Thus, our research complements findings on the adverse impact of job-specific SCDs on long-term indicators of well-being (e.g., Diestel & Schmidt, 2011) by also demonstrating that day-specific SCDs are negatively related to day-specific psychological well-being. It is possible that previous results concerning the adverse effects of global job-specific SCD5 on interindividual indicators of psychological well-being may be determined, at least in part, by day-specific relationships between SCDs and indicators of psychological well-being.

Third, consistent with the SDT, our research suggests that commitment fulfills employees' basic psychological needs (autonomy, competence and relatedness) and demonstrates the buffering effects of commitment on the adverse day-specific relationships between SCDs and indicators of psychological well-being. Thus, our findings complement previous research on organizational resources that buffer the adverse consequences of SCDs (e.g., job-control and goal conflicts; cf. Schmidt & Diestel, in press).

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