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effect sizes, frequentist statistics and Bayes factors for each preregistered hypothesis

effect sizes, frequentist statistics and Bayes factors for each preregistered hypothesis

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The COVID-19 pandemic has increased negative emotions and decreased positive emotions globally. Left unchecked, these emotional changes might have a wide array of adverse impacts. To reduce negative emotions and increase positive emotions, we tested the effectiveness of reappraisal, an emotion-regulation strategy that modifies how one thinks about...

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... and an additional exclusion of nine duplicate IDs, our final sample included 21,644 participants from 87 countries/regions (63.41% female, 35.34% male, 0.45% other genders, 0.56% preferred not to say and 0.24% missing responses to the gender question; participants were aged 31.91 ± 14.52 yr (mean ± s.d.); see Supplementary Table 1 for sample size per country/region and Supplementary Table 2 for sample size per month). Of the 87 countries/regions represented, 37 had more than 200 participants, surpassing our 95% power criterion based on simulations in our power analysis (see detail in Methods, 'Power analysis'). ...
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... included all 87 countries/regions in all analyses regardless of their sample sizes, except for Fig. 1, Supplementary Fig. 1 and Supplementary Fig. 2, where the 37 countries/regions with n ≥ 200 were analysed separately by country/ region. Effect sizes, frequentist statistics and Bayes factors for each of our hypotheses are presented in Table 2. Raw means and standard deviations for each relevant measure are provided in Table 3. ...
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... regarding the shared effects of two brief reappraisal interventions. Consistent with the main hypotheses of the study, both reappraisal interventions combined (versus both control conditions combined) significantly decreased negative emotional responses (hypothesis 1) and significantly increased positive emotional responses (hypothesis 2) across all primary outcome measures (emotions in response to the photos related to COVID-19 from various news sources, state emotions after viewing all the photos and emotions about the COVID-19 situation; Table 2, rows 2-7; details of these measures are described in Methods). As shown in Fig. 1, this finding was consistent across the 37 countries/regions in which there were more than 200 participants (although all 87 countries/ regions were included in the analysis testing hypotheses regardless of their sample size, only the 37 countries/regions with n ≥ 200 were analysed separately by country/region for Fig. 1). ...
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... regarding the unique effects of the two reappraisal interventions. Results revealed little to no support for our hypotheses regarding the differences between reconstrual and repurposing, as neither was reliably better than the other at reducing negative emotions or increasing positive emotions across outcomes (Table 2, rows 8-13; Supplementary Fig. 2). We hypothesized that reconstrual would produce greater decreases in negative emotional responses than repurposing (hypothesis 3), and data revealed supportive evidence for only one outcome (negative emotions about the COVID-19 situation; Table 2, row 10) out of the three measures of negative emotions. ...
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... revealed little to no support for our hypotheses regarding the differences between reconstrual and repurposing, as neither was reliably better than the other at reducing negative emotions or increasing positive emotions across outcomes (Table 2, rows 8-13; Supplementary Fig. 2). We hypothesized that reconstrual would produce greater decreases in negative emotional responses than repurposing (hypothesis 3), and data revealed supportive evidence for only one outcome (negative emotions about the COVID-19 situation; Table 2, row 10) out of the three measures of negative emotions. The other two negative emotion outcome measures did not support that hypothesis. ...
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... other two negative emotion outcome measures did not support that hypothesis. One outcome (negative emotions in response to the photos; Table 2, row 8) revealed that repurposing had significantly stronger effects in decreasing negative emotional responses than reconstrual, whereas the Bayes factor indicated inconclusive evidence. Another outcome (negative state emotions; Table 2, row 9) revealed no significant difference between types of reappraisal, and the Bayes factor indicated strong evidence in favour of the null hypothesis. ...
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... outcome (negative emotions in response to the photos; Table 2, row 8) revealed that repurposing had significantly stronger effects in decreasing negative emotional responses than reconstrual, whereas the Bayes factor indicated inconclusive evidence. Another outcome (negative state emotions; Table 2, row 9) revealed no significant difference between types of reappraisal, and the Bayes factor indicated strong evidence in favour of the null hypothesis. ...
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... also hypothesized that repurposing would produce greater increases in positive emotional responses than reconstrual (hypothesis 4), and data revealed supportive evidence for only one outcome (positive emotions in response to the photos; Table 2, row 11) out of the three measures of positive emotions. The other two outcome measures of positive emotions revealed no significant differences between the two reappraisal conditions. ...
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... other two outcome measures of positive emotions revealed no significant differences between the two reappraisal conditions. The Bayes factors indicated strong evidence in favour of the null hypothesis for one outcome (positive state emotions; Table 2, row 12) and inconclusive evidence for another outcome (positive emotions about the COVID-19 situation; Table 2, row 13). Overall, there were no consistent differences across outcomes between reconstrual and repurposing in reducing negative emotions or increasing positive emotions in the current experimental context. ...
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... other two outcome measures of positive emotions revealed no significant differences between the two reappraisal conditions. The Bayes factors indicated strong evidence in favour of the null hypothesis for one outcome (positive state emotions; Table 2, row 12) and inconclusive evidence for another outcome (positive emotions about the COVID-19 situation; Table 2, row 13). Overall, there were no consistent differences across outcomes between reconstrual and repurposing in reducing negative emotions or increasing positive emotions in the current experimental context. ...
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... As shown in Table 2 for hypothesis 1b, participants who were in the two reappraisal conditions reported less negative state emotions than participants who were in the two control conditions (B = 0.185 ± 0.013, t(36.39) = 14.401, ...
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... studies must disclose on these points even when the disclosure is negative. Table 2 for sample size per month). Of the 87 countries/regions represented, 37 had over 200 participants, surpassing our 95% power criterion based on simulations in our power analysis. ...

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... One way to accomplish this goal might involve online, scalable, and low-cost interventions aimed at reducing negative and increasing positive emotions (K. Wang et al., 2021). Among host nationals, emotion regulation may help them navigate affective experiences that come with the exposure to different cultural ideals and values (De Leersnyder et al., 2013). ...
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... Previous studies showed inconsistent results in the association between negative emotion induced by threatening stimuli and intertemporal decisions [55][56][57] . Despite these inconsistencies, negative emotions (e.g., fear, sadness) have been widely noted with pandemic outbreaks globally [58][59][60] . We found the mediating role of emotional pathways counteracting the direct impact of perceived threats on intertemporal decisions. ...
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... Furthermore, there is evidence showing that people with high scores in the other-emotion appraisal and use of emotion dimension of EI were more likely to adopt proactive (task-oriented and emotionoriented) coping strategies during the COVID-19 pandemic 29 , whereas people with lower abilities of emotion regulation (as indicated by a higher use of expressive suppression and a lower use of cognitive reappraisal) were more likely to use maladaptive coping strategies (avoidance and self-punishment coping) in a study focused on suicidal behavior 36 . Higher EI levels may allow individuals to find better ways to cope with COVID-19 restrictions, such as dedicate themselves to hobbies and/or use the internet to stay in contact with friends and familiars 37 . Moreover, maintaining a correct social distance may be considered as an appropriate strategy to cope with the COVID-19 diffusion (just like washing hands frequently or wearing face masks): the evaluation of its costs and benefits should be therefore related to multiple EI dimensions. ...
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... For the associations between performance level and SMI, both types of effect sizes seem impractical for our project's power analysis. The effect sizes in the literature are surprisingly large, as affect reappraisals usually have smaller effects on affective experience [69,70] than the observed effects on the performance, which seems a priori unlikely, given that the effect on performance is theoretically expected to be mediated by the effect on the affective experience. Thus, we are sceptical that the expectations based on effect sizes in the literature that affect reappraisal should have stronger effects on the performance levels than on the affective experience are realistic. ...
... We used one meta-analysis [70] and one recent large-scale study [69] to estimate the possible effect sizes. Meta-analysis shows that reappraisal has an average effect size of d = 0.45, 95% CI = [0. ...
... no instruction, instructions to experience naturally, instructions to not regulate in a specific manner or instructions to enhance or maintain the focal emotion). A recent large-scale study found similar effects of reappraisal interventions (versus controls) on positive affective experience d = 0.59 and on negative affective experience d = 0.39 [69]. ...
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... Empirical support for these predictions comes from singlesession experimental studies that have consistently reported that using cognitive reappraisal to change the meaning of photos, videos, or text-based stimuli can increase momentary positive affect and/or reduce momentary negative affect compared with other emotion regulation strategies or no strategies (Keng et al., 2013;Troy et al., 2018;Wang et al., 2021;Wolgast et al., 2011). These momentary affective benefits of reappraisal have also been shown across several experimental sessions in a longitudinal experimental study using photos as stimuli (Denny & Ochsner, 2014). ...
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... Studies on individual differences in the use of emotion regulation strategies have led to a better understanding of emotional distress in general, and during the COVID-19 pandemic in particular [16][17][18]. Emotion regulation (ER) refers to any process that influences the manifestation, intensity, or duration of an emotional response [19,20]. ER tendencies can serve as significant predictors of parental outcomes during a pandemic, since they have been shown to moderate the association between specific personality traits [such as neuroticism] and mental health [18][19][20]. ...
... Emotion regulation (ER) refers to any process that influences the manifestation, intensity, or duration of an emotional response [19,20]. ER tendencies can serve as significant predictors of parental outcomes during a pandemic, since they have been shown to moderate the association between specific personality traits [such as neuroticism] and mental health [18][19][20]. The two most common strategies individuals use to regulate their emotions are known as suppression and reappraisal [17]. ...
... By contrast, reappraisal might have helped mothers see the pandemic restrictions in a more positive light, find ways to use this time more productively, and therefore experience fewer symptoms of distress. Previous works have shown the beneficial outcomes of reappraisal during the COVID-19 pandemic [16,18,20,24]. ...
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Introduction Mothers faced an increased risk of adverse mental health outcomes during the COVID-19 pandemic compared to other populations. However, there is little data on the factors that placed mothers at increased risk of distress. Aims The present study explored a range of individual, familial, and environmental factors associated with psychological distress in mothers during the COVID-19 pandemic. Method This repeated cross-sectional study was composed of a convenience sample of mothers who completed an online survey that included a demographic questionnaire, an emotion regulation questionnaire, and the Depression, Anxiety, and Stress scale. The survey was administered during the second and third lockdowns in Israel in 2020–2021. Results The study included 575 mothers (M age = 39). The findings of a hierarchical regression indicated that individual-level factors, composed of age and emotion regulation tendencies predicted psychological distress. The family-level factors of household income and number of children in the family also predicted distress. In terms of environmental-level factors, COVID-19-related media consumption and school status (open or closed) were also significant predictors of psychological distress. Importantly, the results showed that the most important predictors of psychological distress in mothers during the COVID-19 outbreak were school closures, household income, and the use of adaptive and maladaptive emotion regulation strategies. Conclusions The findings highlight the intersection of individual, familial, and environmental factors in mothers’ mental health during crises.