530 research outputs found

    Challenges in the conceptualization of trait self‐control as a psychological construct

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    Self-control is widely believed to be a valuable characteristic that contributes to leading a healthy, happy, and successful life through the effective pursuit of long-term goals. Yet, despite a prolific literature spanning decades, essential questions about the conceptual nature of trait self-control remain unanswered. Substantially different perspectives on the theoretical nature of (trait) self-control coexist side by side. We briefly review prominent views informing what trait self-control as a psychological construct is. On this basis, we identify four conceptual challenges that we think the field should address moving forward: (a) integrating theoretical notions, (b) addressing variability in individual goals, (c) acknowledging variability in dominant responses, and (d) anchoring trait self-control in a nomological network. We highlight why addressing these challenges is crucial for gaining a deeper understanding of trait self-control. We also suggest how theoretical conceptualizations of trait self-control might do so and the implications this would bear for measurement and interventions

    Why Self-Report Measures of Self-Control and Inhibition Tasks Do Not Substantially Correlate

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    Trait self-control is often defined as the ability to inhibit dominant responses including thoughts, emotions, and behavioral impulses. Despite the pivotal role of inhibition for trait self-control, a growing body of evidence found small-to-zero correlations between self-report measures of trait self-control and behavioral inhibition tasks. These observations seem puzzling considering that both types of measures are often seen as operationalizations of the same or at least closely related theoretical constructs. Previous explanations for this non-correspondence focused on psychometric properties of the measures. Here, we discuss three further factors that may explain the empirical non-correspondence between trait self-control scales and behavioral inhibition tasks: (1) the distinction between typical and maximum performance, (2) the measurement of single versus repeated performance, and (3) differences between impulses in different domains. Specifically, we argue that a) self-report measures of trait self-control are designed to assess typical performance, and relative to these, behavioral inhibition tasks are designed to assess maximum performance; b) self-report measures of trait self-control capture central tendencies of aggregates of many different instances of behavior, whereas behavioral inhibition tasks are momentary, one-time state measures; and c) most self-report measures of trait self-control are designed to measure general, cross-domain inhibition, whereas behavioral inhibition tasks also measure narrower, domainspecific inhibition to a substantial degree. In conclusion, we argue that it is implausible to hypothesize more than a low correlation between self-report measures of trait self-control and behavioral inhibition tasks as they genuinely focus on different aspects of the theoretical construct of self-control. We also discuss the broader implications of these issues for self-control as a theoretical construct and its appropriate measurement

    Three ways to resist temptation: the independent contributions of executive attention, inhibitory control, and affect regulation to the impulse control of eating behavior

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    It is generally assumed that impulse control plays a major role in many areas of self-regulation such as eating behavior. However, the exact mechanisms that enable the control of impulsive determinants such as automatic affective reactions toward tempting stimuli are not well understood. “The present research investigated the separate moderator effects of three factors of impulse control, executive attention, inhibitory control, and affect regulation on the relationship between automatic affective reactions toward candy and subsequent candy consumption.” Results showed that all three factors reduced the influence of automatic affective reactions on eating behavior, indicating improved impulse control. Implications for self-regulation research are discussed

    No longer able to or no longer wanting to? Are intention violations failures to exert or decisions not to exert self-control?

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    Several theoretical models describe two pathways linking self-control demands with subsequent goal violations. The volitional pathway suggests that these goal violations should be interpreted as failures, while the motivational pathway suggests an interpretation as decisions. In this article, we examined (a) which psychological processes may explain the relationship between self-control demands and subsequent intention violations and (b) to what extent these violations refect self-control failures rather than deliberate decisions. Results of two experience sampling studies showed that facing demands can trigger two opposing processes: fatigue, which leads to more subsequent violations of intentions, and the feeling that one deserves a reward, which leads to fewer subsequent violations of intentions due to boosts in self-efcacy. The actor may attribute intention violations to either an inability to act otherwise (indicating an actual failure) or a deliberate decision (indicating no failure). The diferent attributions have marked implications for the cognitive and afective downstream consequences of violating one’s goals, pointing to the importance of distinguishing between actual and apparent failures in self-control

    Heterogeneity in mental health change during the COVID-19 pandemic in Germany: The role of social factors

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    The COVID‐19 pandemic constitutes a prolonged global crisis, but its effects on mental health seem inconsistent. This inconsistency highlights the importance of considering the differential impact of the pandemic on individuals. There is some evidence that mental health trajectories are heterogeneous and that both sociodemographic and personal characteristics are associated with higher risk for mental health issues. By contrast, information on the role of social factors as potential determinants of initial reactions to the pandemic and on heterogeneous trajectories over time is lacking. We analysed seven assessments of a large‐scale (N = 2203) longitudinal study across 1.5 years, beginning in March 2020. Using self‐report data on mental health and life satisfaction, we applied latent change models to examine initial reactions and mean changes across the pandemic. In addition, we applied latent class growth analyses to investigate whether there were distinct groups with different patterns of change. Results showed that on average, levels of life satisfaction and anxiety decreased (d = −0.31 and d = −0.11, respectively), levels of depressive symptoms increased (d = 0.13), and stress levels remained unchanged (d = −0.01) during the first year of the pandemic. For each outcome, we identified four distinct mental health trajectories. Between 5% (for anxiety) and 11% (for life satisfaction) of the sample reported consistently high—and even increasing— impairments in mental health and well‐being. The trajectories of a sizeable number of people covaried with the course of the pandemic, such that people experienced better mental health when the number of COVID cases was low and when fewer restrictions were placed on public life. Low emotional support, high instrumental support, and the tendency to compare oneself with others were associated with more mental health issues. Findings show that whereas a substantial portion of people were largely unaffected by the pandemic, some individuals experienced consistently high levels of psychological distress. Social factors appear to play a crucial role in the maintenance of well‐being

    Promoting recovery in daily life: study protocol for a randomized controlled trial

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    Background Work-related stress shows steadily increasing prevalence rates and has tangible consequences for individual workers, their organizations, and society as a whole. One mechanism that may help offset the negative outcomes of work-related stress on employees’ well-being is recovery. Recovery refers to the experience of unwinding from one's job when not at work. However, employees who experience high levels of work-related stress and are thus particularly in need of recovery tend to struggle to switch-off. Due to the detrimental effects of this prolonged and sustained mental representation of job stressors, interventions promoting recovery may contribute to improvements in employees' mental health. Methods In this randomized, waitlist controlled trial, we will investigate the effectiveness of two 6-week online training programs (cognitive behavioral and mindfulness-based). The sample will include employees working at least part-time during regular work hours. Besides the pre-post-follow-up assessments, the trial will include measurement bursts with the goal of examining the underlying mechanisms. We expect that both interventions will reduce work-related perseverative thinking (PT) compared with the waitlist control groups (primary outcome). Also, we expect that both interventions will result in similar improvements, but the underlying mechanisms will differ (process outcomes). In the cognitive-behavioral intervention group, we expect that the main mechanism responsible for lower PT levels will be an increase in recovery experiences across time. In the mindfulness-based group, we expect that the main mechanism responsible for lower PT levels will be an increase in facets of mindfulness across time. Discussion In the present study, we will investigate mechanisms underlying assumed changes in work-related PT in great detail. Besides evaluating the overall effectiveness of the two interventions in terms of pre-post-follow-up changes, we will look at the underlying processes at different levels—that is, within days, within weeks, across weeks, and between individuals. Accordingly, our study will offer a fine-grained approach to investigating potential determinants, mediators, and moderators of the processes that may, in the end, be responsible for work-related strain. From a public health perspective, if effective, the online training programs may offer valuable, low-threshold, and low-intensity interventions for a broad range of occupations

    No party no joy?—Changes in university students' extraversion, neuroticism, and subjective well-being during two COVID-19 lockdowns

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    The COVID-19 lockdowns represent a major life event with an immense impact on university students' lives. Findings prior to the pandemic suggest that changes in personality and subjective well-being (SWB) can occur after critical life events or psychological interventions. The present study examined how university students' extraversion, neuroticism, and SWB changed during two COVID-19 lockdowns in Germany. To this end, we conducted a partly preregistered, two-cohort study with four measurement points each from October 2019 to May 2021 (NStudy 1  = 81-148, NStudy 2  = 82-97). We used both multilevel contrast analyses and multi-group random-intercept cross-lagged panel models to examine within-person changes over time. Levels of life satisfaction, extraversion, and, unexpectedly, neuroticism were lower during both lockdowns. Students' affect improved during the first but deteriorated during the second lockdown, suggesting that similar experiences with the deceleration of daily life were associated with different affective outcomes during the two lockdown periods. Following the introduction or termination of a lockdown, changes in extraversion (neuroticism) were consistently positively (negatively) associated with changes in SWB. Our results stress the importance of disentangling between- and within-person processes and using pre-COVID baseline levels to examine changes in personality and SWB

    Is use of the general system justification scale across countries justified? Testing its measurement equivalence

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    System justification is a widely researched topic in social and political psychology. One major measurement instrument in system justification research is the General System Justification Scale (G-SJS). This scale has been used, among others, for comparisons across social groups in different countries. Such comparisons rely on the assumption that the scale is measurement equivalent. However, this assumption has never been comprehensively tested. Thus, the present two studies assessed the measurement equivalence of the G-SJS following classic measurement equivalence guidelines (i.e., multigroup confirmatory factor analyses) in Study 1 and using a new method for comparing larger numbers of groups in Study 2 (i.e., alignment optimization). In Study 1, we analysed the measurement equivalence in Great Britain (n = 444), Germany (n = 454), and France (n = 463). In Study 2, we used a publicly available dataset consisting of 66 samples from 30 countries (N = 13,495) to again assess the measurement equivalence of the scale. Results indicated (partial) metric equivalence, but not scalar equivalence in both studies. Overall, the studies indicate that mean comparisons across the examined countries are not warranted with the current form of the G-SJS. The scale needs to be revised for valid cross-country comparisons of means

    Implicit Measures of Attitudes and Political Voting Behavior

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    Implicit measures have contributed to the prediction of behavior in numerous domains including the political realm. Some theoretical arguments suggest that implicit measures are unlikely to substantially improve the prediction of political voting behavior. Other arguments are more optimistic, especially regarding the prediction of undecided voters' behavior. Here, we review the evidence regarding the extent to which implicit measures improve the prediction of political voting behavior beyond explicit self-report measures. Results reveal that implicit measures are often statistically significant predictors. However, the inclusion of an implicit measure leads to modest or even no improvement of the overall accuracy of the original prediction. We conclude that implicit measures are likely to be practically relevant for predicting voting behavior only if researchers can identify new approaches. Related findings in political psychology may pave the way as they demonstrate that implicit measures can contribute unique knowledge not accounted for in other ways
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