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Samenvatting H8

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Samenvatting statistiek theorie H8

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  • H8
  • November 6, 2023
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  • 2022/2023
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Hoofdstuk 8: Sample-size
berekeningen


Power van een test = 1-β




Bij statistische testen kan je 2 soorten fouten maken.

Type 1: ten onrechte de nulhypothese verwerpen.

Type 2: nulhypothese die onwaar is toch niet gaan verwerpen.

 Type 2 hangt samen met de statistische power 1-kans op type 2 fout.

Hoe groter de power, hoe lager de kans om een type 2 fout te maken.

De steekproef moet voldoende groot zijn om een effect in werkelijkheid te
kunnen aantonen.

 Om dit te kunnen aantonen, heb je voldoende power nodig en een
voldoende grootte steekproef.



1. Sample size berekenen

= A priori inschatten hoeveel proefpersonen er nodig zijn in de steekproef om
een bepaald verwacht effect te kunnen aantonen (vooral bij interventiestudies).

 Voorafgaand aan de studie inschatten.



Nodige input voor berekening:

- α= significantieniveau  5% (verwerpen H0 bij p<0.05).
- (1-β)= statistische power  minstens 80%

 Hoeveel statistische bewijskracht wil je hebben, wat laat je nog toe van
kans om een type 2 fout te maken?

1

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