Process / pipelinestudy-design

Statistička snaga i veličina uzorka

Statistička snaga je vjerojatnost otkrivanja istinskog učinka ako on postoji (1 − β). Analiza snage određuje veličinu uzorka potrebnu za otkrivanje pretpostavljenog veličine učinka sa specificiranim stopama pogreške Tipa I (α) i pogreške Tipa II (β). Analiza snage, koju je uveo Jacob Cohen (1988.), temelj je dizajna istraživanja: nedovoljno snažne studije daju napuhane procjene veličine učinka i vjerojatno se neće replicirati. Standardna referentna vrijednost je 80% snage (β = 0,20), iako kritične studije mogu zahtijevati 90% snage.

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Izvori

  1. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 0-8058-0283-5
  2. Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A Flexible Statistical Power Analysis Program for the Social, Behavioral, and Biomedical Sciences. Behavior Research Methods, 39(2), 175–191. DOI: 10.3758/BF03193146
  3. Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013). Power failure: why small sample size undermines the reliability of neuroscience. Nature Reviews Neuroscience, 14(5), 365–376. DOI: 10.1038/nrn3475

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ScholarGate. (2026, June 3). Statistical Power Analysis and Sample Size Determination for Research Studies. ScholarGate. https://scholargate.app/hr/research-statistics/statistical-power

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ScholarGateStatistical Power and Sample Size (Statistical Power Analysis and Sample Size Determination for Research Studies). Preuzeto 2026-06-15 s https://scholargate.app/hr/research-statistics/statistical-power · Skup podataka: https://doi.org/10.5281/zenodo.20539026