How to Calculate Sample Size for RCT Using G Power: Step-by-Step Tutorial

How to Calculate Sample Size for RCT Using G Power: Step-by-Step Tutorial

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How to Calculate Sample Size for RCT Using G Power: Step-by-Step Tutorial
In this tutorial, we guide you through the step-by-step process of calculating the sample size for a Two-Group Randomized Controlled Trial (RCT) using G*Power software. Learn how to set up your research question, input essential parameters like significance level, power, and effect size, and interpret the results for clinical trials. We also discuss adjustments for potential participant dropouts to ensure the validity of your study. Ideal for rehabilitation researchers, clinical trial designers, and students in health sciences, this video simplifies the complex process of sample size calculation, making it accessible for beginners and experts alike. Whether you're planning an intervention study comparing Virtual Reality Rehabilitation to Conservative Rehabilitation, or conducting any other type of RCT, this tutorial provides a clear roadmap. Make sure to like, subscribe, and turn on notifications for more concise tutorials on research methods and statistical analyses in rehabilitation and clinical research. #SampleSizeCalculation #RCT #GPower #ClinicalTrials #RehabilitationResearch #HealthResearch #RandomizedControlledTrial #ResearchMethods #Biostatistics #ClinicalResearch #RehabScience #PowerAnalysis #ResearchDesign #EffectSize #VirtualRealityRehab #ConservativeRehab #ClinicalStudy #QuantitativeResearch #StatisticsTutorial #ResearchEducation #HealthSciences #EvidenceBasedPractice #StudyDesign #GPowerTutorial #RehabProfessionals #StepByStepGuide #ResearchTips #StatisticalAnalysis #HealthCareResearch