Illustrating confirmatory effects testing Hypothesis 1. Effect sizes are drawn from intercept-only models in Table 2 (n = 25,718). Values to the left of zero indicate that no message (or the autonomy-supportive message) yielded lower scores on outcomes than the controlling message. Values to the right of zero indicate that no message (or the autonomy-supportive message) yielded higher scores on those outcomes than the controlling message. The square represents the observed effect size, and the whiskers represents the 95% CIs; if the effect and its 95% CI fall outside the dotted lines (the interval null of r p = À0.025 to 0.025), the effect is considered practically meaningful.

Illustrating confirmatory effects testing Hypothesis 1. Effect sizes are drawn from intercept-only models in Table 2 (n = 25,718). Values to the left of zero indicate that no message (or the autonomy-supportive message) yielded lower scores on outcomes than the controlling message. Values to the right of zero indicate that no message (or the autonomy-supportive message) yielded higher scores on those outcomes than the controlling message. The square represents the observed effect size, and the whiskers represents the 95% CIs; if the effect and its 95% CI fall outside the dotted lines (the interval null of r p = À0.025 to 0.025), the effect is considered practically meaningful.

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Significance Communicating in ways that motivate engagement in social distancing remains a critical global public health priority during the COVID-19 pandemic. This study tested motivational qualities of messages about social distancing (those that promoted choice and agency vs. those that were forceful and shaming) in 25,718 people in 89 countries...

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... was informed by d = j0.05j as our smallest effect size of interest.* Results reported in the text focus on partial r (r p ) for random intercept models (Table 2 shows a more complete reporting of the statistics, and Table 3 presents these models adding in random slopes for predictor variables). SI Appendix has additional analyses. † Hypothesis 1. Fig. 3 shows a visualization of confirmatory effects for Hypothesis 1. Autonomous and controlled motivation. Across all message conditions, autonomous motivation was high (mean and SD in Table 1). We did not find evidence that the autonomysupportive message condition meaningfully yielded higher autonomous motivation than the controlling ...
Context 2
... used the TOSTER package (version 0.3.4) (57) to illustrate fixed effects and their 95% CIs (Fig. 3) and calculated partial r (r p ) values (standardized effect sizes) using the r2beta function in r2glmm (version 0.1.2) (58). Exploratory analyses. Data collection launched in April 2020 and continued through September 2020. We speculated that communication strategies urging social distancing might have been more impactful early on in ...

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... Autonomous motivation is considered important for implementing sustainable health behaviours [22,27]. The COVID-19 context is no exception, and autonomous motivation has been shown to increase COVID-19 preventive behaviours such as social distancing [28] and intentions to vaccinate [10]. ...
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... See supporting information (Data S1) for details. These findings confirm the results of previous research suggesting that empathy is a powerful driver of motivation for physical distancing (Lunn et al., 2020;Pfattheicher et al., 2020). ...
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