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[Random sample planning in morphometry].

P Rother1, W Jahn

  • 1Institut für Anatomie des Bereichs Medizin, der Karl-Marx-Universität Lepzig.

Gegenbaurs Morphologisches Jahrbuch
|January 1, 1989
PubMed
Summary
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This study explains how to determine the optimal sample size for research, balancing ethical and economic considerations. It details key factors like desired precision and error probability for accurate statistical analysis.

Area of Science:

  • Statistical methodology
  • Research design

Context:

  • Determining appropriate sample sizes is crucial for ethical and economic research conduct.
  • Complex sampling designs, such as nested sampling, complicate sample size calculations.
  • Accurate sample size planning ensures statistical power and resource optimization.

Purpose:

  • To elucidate the principles and presuppositions for planning optimal sample sizes.
  • To provide a framework for ethically and economically justifying research investigations.
  • To detail the estimation of minimally necessary sample sizes.

Summary:

  • The report outlines essential presuppositions for sample size estimation, including defining precision requirements, acceptable error probabilities, and understanding parameter variance.
  • It uses mean value estimation as a primary example, illustrating the concepts with practical application.

Related Experiment Videos

  • The principles are further detailed using binomially distributed variables, relevant to methods like point counting.

    • Impact:

    • Enables researchers to justify sample sizes effectively, meeting ethical and economic standards.
    • Provides a clear methodology for calculating sample sizes in complex research scenarios.
    • Enhances the validity and reliability of research findings through rigorous sample size planning.