Summary
Samenvatting Data-analyse: voorbeeld oefening van elke test
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Marieke De Craemer 1 oefening per test van statistiek uitgewerkt in de 5 stappen
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Oefeningen van elke statistische testOEFENINGEN VAN ELKE STATISTISCHE TEST.....................................................1
CHI-KWADRAAT.................................................................................................................... 2
CORRELATIE........................................................................................................................ 3
ONE SAMPLE T-TEST............................................................................................................. 4
PAIRED SAMPLES T-TEST........................................................................................................ 5
INDENPENDENT SAMPLES T-TEST.............................................................................................6
ANOVA (1)....................................................................................................................... 7
ANOVA (2)....................................................................................................................... 8
ANOVA (3)..................................................................................................................... 10
ENKELVOUDIGE LINEAIRE REGRESSIE......................................................................................12
MEERVOUDIGE LINEAIRE REGRESSIE.......................................................................................13
LOGISTISCHE REGRESSIE..................................................................................................... 14
TWO-WAY ANOVA (1)..................................................................................................... 16
TWO-WAY ANOVA (2)..................................................................................................... 18
TWO-WAY ANOVA (3)..................................................................................................... 20
ANCOVA........................................................................................................................ 22
REPEATED MEASURES ANOVA............................................................................................. 24
REPEATED MEASURES ANOVA............................................................................................. 26
STAPPENPLAN:
1. Start
2. Soort test
3. Uitvoeren analyse in SPSS
4. Rapportering
5. Besluit
1
,Chi-kwadraat
Is er een verband tussen aantal uren bewegen en BMI?
1. Start
Descrip frequenties laten lopen geen uitschieters
2 kwalitatieve var: BMI en bewegen
Verband tussen zoeken
2. Test
Chi kwadraat
3. Uitvoeren analyse in SPSS
weighted cases aan: voor aantallen
80% vd cells > 5 & all cells >1
4. Rapportering
Pearson chi- 353,11
square
P-waarde <0,001
5. Besluit
Het verband tussen het aantal uren bewegen en BMI zijn statistisch
signficant van elkaar.
Aantal uren bewegen en BMI zijn afhankelijk van elkaar.
2
, Correlatie
Een onderzoeker wil het verband nagaan tussen 3 testen afgenomen bij 20
kinderen. Zijn
hypothese is dat er een positief verband is tussen motorische controle
(score op 25) en
motorisch leren (score op 100)
1. Start
Descript frequenties Scatterplot
2 kwantitative var: score motorische controle & score motorisch
leren
Hypothese gesteld
Verband tussen zoeken
2. Soort test
correlatie
3. Uitvoeren analyse
Bivariate
4. Rapportering
Pearson correlatie: r- 0,66
waarde
p-waarde <0,001
p-waarde delen door 2
r = + dus positief verband
5. Besluit
Er is een positief statitisch significant verband tussen motorische
controle en motorisch leren.
Hoe hoger het ene hoe hoger het andere.
3
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