Class notes anova

12 important questions on Class notes anova

How do we call the deviation of the mean of a group compared to the mean of the total sample?

Explained variance

How do we call the deviation of the score of a subject to the mean of the group the subject is part of?

The error term

What can you do with planned contrasts if you use an anova test in spss?

You can test predictions between specific groups.
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How do you calculate the total sum of squares?

SST = sum(x-grand mean)^2

How do you calculate the Sum of squares error?

  • SSE = (x-group mean)^2
  • add all groups together, so (x-mean group1)^2 + (x-mean group1) + (x-mean group1) + (x-mean group2)^2 + (x-mean group2) + (x-mean group2), etc etc

How do you calculate the sum of squares model?

SSM = sum(number of participants per group(groupmean-grandmean)^2

How do you calculate the F statistic?

  • F= ((SSM/dfmodel)/SSE/dferror))
  • dfmodel = amount of groups - 1
  • dferror = amount of participants - amount of groups

How can you create planned contrasts?

  1. Assign values to the groups you want to compare in such a way that the values of group(s) on one side of the comparison are equal to the values of group(s) on the other side of the comparison.
  2. the total of the values on sides must be 0
  3. always code the groups in the order that spss lists them in the dataset.

When do you use anova, and when ancova?

  • You use anova when you want to analyse differences between levels of a categorical independent variable on a continuous dependent variable.
  • you use ancova when other continuous variables can influence the dependent variable that are not part of our experimental manipulation.

How do we call other continuous variables that can influence the dependent variable that are not part of our experimental manipulation?

Covariates

What do you do if the normality assumption is violated?

  • You can still perform the anova, because the test is robust.
  • or you can perform the Kruskal-Wallis test.

How do you perform an anova?

  1. Analyse -> compare means -> one-way ANOVA
  2. Dependent list: Afhankelijke variabele
    Factor list: Onafhankelijke variabele
    • Descriptives
    • Homogeneity of variance test
  3. Options:

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