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Right Sample, Right Results

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Sample size calculation is an essential aspect of scientific research. It helps researchers to determine the appropriate number of subjects or observations required to achieve the desired level of statistical power and precision. In recent years, there has been an increasing focus on the importance of proper sample size calculation to ensure the validity and reliability of research findings. This book provides an overview of the key concepts and methods used in sample size calculation for scientific research. It covers the basic principles of statistical power, effect size, and significance level, and explains how these factors influence sample size calculation. The book also discusses different types of study designs, including experimental and observational studies, and their implications for sample size calculation. It highlights some of the common pitfalls and misconceptions associated with sample size calculation and provides guidance on how to avoid them. Overall, it provides a comprehensive overview of sample size calculation for scientific research and serves as a valuable resource for researchers looking to design studies with adequate statistical power and precision.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9786206152835
  • Indbinding:
  • Paperback
  • Sideantal:
  • 72
  • Udgivet:
  • 24. marts 2023
  • Størrelse:
  • 150x5x220 mm.
  • Vægt:
  • 125 g.
  • 2-3 uger.
  • 30. november 2024
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Beskrivelse af Right Sample, Right Results

Sample size calculation is an essential aspect of scientific research. It helps researchers to determine the appropriate number of subjects or observations required to achieve the desired level of statistical power and precision. In recent years, there has been an increasing focus on the importance of proper sample size calculation to ensure the validity and reliability of research findings. This book provides an overview of the key concepts and methods used in sample size calculation for scientific research. It covers the basic principles of statistical power, effect size, and significance level, and explains how these factors influence sample size calculation. The book also discusses different types of study designs, including experimental and observational studies, and their implications for sample size calculation. It highlights some of the common pitfalls and misconceptions associated with sample size calculation and provides guidance on how to avoid them. Overall, it provides a comprehensive overview of sample size calculation for scientific research and serves as a valuable resource for researchers looking to design studies with adequate statistical power and precision.

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