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Sample size determination and power analysis using the G*Power software

📅 Published: July 30, 2021 👤 Hyun Kang 📖 Journal of Educational Evaluation for Health Professions 📊 2,304 citations
AI-Generated Summary

Appropriate sample size calculation and power analysis have become major issues in research and publication processes. The G*Power software supports sample size and power calculation for various statistical methods (F, t, χ2, z, and exact tests).

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 However, the complexity and difficulty of calculating sample size and power require broad statistical knowledge, there is a shortage of personnel with programming skills, and commercial programs are often too expensive to use in practice.
  • 2 The review article aimed to explain the basic concepts of sample size calculation and power analysis; the process of sample estimation; and how to calculate sample size using G*Power software (latest ver.
  • 3 3.1.9.7; Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany) with 5 statistical examples.
Why It Matters

This work deepens our understanding of the fundamental laws governing the universe, from subatomic particles to cosmic structures.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category ⚛️ Physics & Space Science
Published Jul 30, 2021
Journal Journal of Educational Evaluation for Health Professions
DOI 10.3352/jeehp.2021.18.17
Citations 2,304
Authors Hyun Kang