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samenvatting verschillende testen statistiek

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deze samenvatting omvat tips en tricks om de verschillende testen via SPSS te hanteren

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  • April 3, 2023
  • 4
  • 2021/2022
  • Summary
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1. Parametrische one-sample test = t-test populatiegemiddelde
- Wat: Populatiegemiddelde vergelijken (µ)
- Voorwaarden: continu, normaal verdeeld + enkelvoudige steekproef
- Beschrijvend statistiek: gemiddelde en standaarddeviatie
- Grafisch: boxplot
- SPSS: Analyze -> Compare Means -> One sample T test

2. NIET-Parametrische one-sample test = Wilcoxon signed-rank
- wat: Mediaan vergelijken (m)
- Indien voorwaarden normaliteit niet zijn voldaan + continu ,
enkelvoudige steekproef
- Beschrijvende statistiek: mediaan en interkwartielafstand
- Grafisch: boxplot
- SPSS: analyze -> nonparametric tests -> one sample

3. Chi-kwadraat goodness-of-fit test
- Wat: populatieproportie vergelijken (pi)
- Voorwaarden: categorische variabele, steekproef uit 1 populatie
+ Niet meer dan 20% verwachte (E) frequenties < 5 EN geen
verwachte (E ) frequentie < 1
- SPSS: Analyze -> nonparametric test -> one sample / legacy
dialogs
- CAVE: BI op SPSS via Wilson Score (Analyze -> Compare Means ->
One-sample proportions ->)

4. Parametrische Ongepaarde Student’s t-test
- Wat : populatiegemiddelden al dan niet gelijk zijn (µ)
- Voorwaarden: continu, normaal verdeeld, twee ongepaarde
steekproeven, gelijke varianties
 Varianties controleren via ‘Test van Levene’
- Beschrijvende statistiek: gemiddelde en standaarddeviatie
- Grafisch : boxplot
- SPSS: Analyze -> compare means -> Independent-Samples T-test

5. NIET-parametrische: Mann-Whitney U-Test
- Wat: distributie vergelijken
- Voorwaarden: continu, niet normal of ordinale variabele + 2
ongepaarde steekproeven
- Beschrijvende statistiek: mediaan en interkwartielafstand
- Grafisch: boxplot

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