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Reference 43: R: A language and environment for statistical computing(https://www.r-project.org/)
JMIR Public Health Surveill 2025;11:e67370
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Monte Carlo simulations computed in R (R Foundation for Statistical Computing) were used to estimate the required sample size for our proposed models. Our analyses, based on simulated data, suggest that a total sample size of 300 provides enough statistical power (up to 90%) to detect anticipated effect sizes on primary outcomes of cognitive capacity and cognitive bias based on values from our group and those reported in the literature (CR: d=0.50 and MCT: g=0.27) [9,20,27,31].
JMIR Res Protoc 2025;14:e63269
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A 10% (77/763) sample of news media articles was independently coded by 2 researchers (HS and VP), and the Cohen κ statistic was calculated using the irr package in R Studio v.4.2.3 (Posit) to assess interrater reliability. A value of 10% was chosen by the research teams to ensure that a sufficient subsample was analyzed. The statistical analysis indicated almost perfect agreement between the 2 coders (κ=0.9) [40].
JMIR Public Health Surveill 2025;11:e68724
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BISQ: Brief Infant Sleep Questionnaire; EPDS: Edinburgh Postnatal Depression Scale; ESS: Epworth Sleepiness Scale; FFS: Flinders Fatigue Scale; IBQ-R: Infant Behavior Questionnaire-Revised; ISQ: Insomnia Symptom Questionnaire; PSQI: Pittsburgh Sleep Quality Index; SCID: Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders-5.
JMIR Res Protoc 2025;14:e66439
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