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Stappenplan assumpties checken (ANCOVA)
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Stappenplan om assumpties van ANCOVA te checken (op basis van colleges van Oliver, blok 4.4C en 4.4P).
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Stappenplan assumpties checken (ANCOVA)1. Meetniveau van de variabelen:
o onafh variabele = categorisch
o afh variabele = continuous
o covariate = continuous
2. Outliers:
o Doe ANCOVA en save Cook’s distance, standardized residuals en leverage
o Cook’s distance < 1 ?
o Standardized residuals tussen -3 en 3?
o Leverage niet groter dan 2(k+1)/n ?
o Descriptive statistics met min, max en mean voor bovenstaande 3
3. Normality (in elke groep)
o Data > split file > compare groups > groups based on: factor/onafh variabele
o Descriptive statistics > variabele: afh variabele > std deviations > als std
deviations ong gelijk zijn, is één Q-Q plot van de data voldoende, zo niet moet
je doorgaan met split files zodat er van elke groep een Q-Q plot komt
o Analyze > descriptive statistics > Q-Q plots > afh variabele
o Zien Q-Q plots er normaal uit ?
4. Homoscedasticity:
o Doe ANCOVA en save Levene’s test
o Is Levene’s test non-significant ?
5. Linearity (in elke groep):
o Data > split file > compare groups > groups based on: factor/onafh variabele
o Graphs > legacy dialogs > scatter/dot > simple scatter > y-as: afh variabele >
x-as: covariate
o Is er een lineaire relatie ?
6. Homogeneity of regression slopes:
o Analyze > general linear model > univariate > dependent: afh variabele > fixed
factor(s): onafh variabele > covariate(s): covariate > model > build terms >
factor*covariate + factor + covariate > type: interaction
o Is factor*covariate non-significant ?
7. Multicollinearity (alleen relevant in geval van meerdere covariates):
o Zijn de covariates onafhankelijk van elkaar (dus geen correlaties) ?
o In geval van 1 covariate: Zijn de experimentele manipulatie en de covariate
onafhankelijk (dus is het gem van de covariate hetzelfde voor elke groep) ?
§ doe ANOVA met afh variabele: covariate en factor/onafh variabele:
experimentele manipulatie (= factor)
§ Is group non-significant ?
8. Kwaliteit van voorspelling checken
o doe ANCOVA opnieuw en kijk naar significantie van factor
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