Search alternatives:
significant based » significant cause (Expand Search), significant barrier (Expand Search), significant burden (Expand Search)
based increased » cases increased (Expand Search), causes increased (Expand Search), rate increased (Expand Search)
mean decrease » a decrease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
significant based » significant cause (Expand Search), significant barrier (Expand Search), significant burden (Expand Search)
based increased » cases increased (Expand Search), causes increased (Expand Search), rate increased (Expand Search)
mean decrease » a decrease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
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Plot of mean vigor by group and time.
Published 2024“…However, this was not statistically significant. Strong evidence suggests there was a significant improvement in BO for the Heartfulness group between Week 0 and Week 6 (p = 0.002), as well as STS (p = 0.0004) and vigor (p = 0.0392). …”
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Plot of mean Burnout by group and time.
Published 2024“…However, this was not statistically significant. Strong evidence suggests there was a significant improvement in BO for the Heartfulness group between Week 0 and Week 6 (p = 0.002), as well as STS (p = 0.0004) and vigor (p = 0.0392). …”
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Between-groups comparison of GIN and PPI values in control, tinnitus and PBMT groups.
Published 2024Subjects: -
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Between groups comparison of BTT and threshold in control, tinnitus and PBMT groups.
Published 2024Subjects: -
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Pearson correlations between language-based predictions of SWB and observed SWB scale scores.
Published 2022Subjects: -
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Marginal means – Pooled across scenarios.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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