Class notes ancova
10 important questions on Class notes ancova
How do we call a continuous variable that has influence on the dependent variable, but is not part of the experiment, so not manipulated?
What do you do when you use ancova?
How does a covariate increase explained variance?
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When using standard contrasts in spss, what does simple, first mean and when should you use it?
- Everything is compared to the first group
- use it when the baseline group, placebo, is the lowest valued group in spss
With an ancova contrast table, what do you look at?
How do you test the assumption of equal scores?
- Perform an independent sample t-test (two groups), or a one way anova (multiple groups).
- when performing the test, put the covariate as dependent variable, and the groups as independent variable.
- if the test is not significant, the assumption is not violated.
How do you test the assumption of equal regression coefficients?
- Perform the ancova
- click on model, and check custom.
- put the dependent variable in, and the covariate
- and the interaction between the two: medicine * covariate
- choose main effects in the middle
- check the table test of between-subject effects.
- if medicine * covariate is non-significant, the assumption is not violated.
How do you interpret the results of an ancova?
- Go to the table test of between subject effects.
- check source covariate: if significant, then the covariate predicts the scores on the dependent variable.
- so the model is adjusted for the covariate.
- then check source independent variable: if significant, the adjust independent variable predicts the scores on the dependent variable.
How to perform an ancova in spss?
- Analyze -> General Linear Models -> Univariate
- Dependent variable: afhankelijke variabele
Fixed factor(s): onafhankelijke variabele
Covariate(s): de covariaat (vb leeftijd of sekse) - Model -> Full factorial (alleen wanneer je de assumptie homogenity of regression slopes wilt checken kies je voor custom)
- Als je een hypothese hebt, kies dan bij contrasts voor simple en dan voor first of last (afhankelijk van welke groepen je met elkaar wilt vergelijken) en op change
- Plots -> onafhankelijke variabele -> horizontal axis -> add
- Descriptive statistics
- Homogeneity tests (Levene’s test)
- Estimates of effect size (partial eta squared, oftewel de geschatte effectgrootte van de onafhankelijke variabele)
- Descriptive statistics
- Options -> vink aan:
When do you use custom model in spss?
The question on the page originate from the summary of the following study material:
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