week 7 Flashcards
Why n-1
to get an unbiased estimate of how spread out the data really is especially when working with a sample
n-1 for the effect
For an interaction the df is df for IV1 x df for IV2
Within subject ANOVA- error df is number of participants per condition -1
Between subjects error df is total participants -1 number of groups -1
2 x 3x 5 within subjects ANOVA
3-way ANOVA
3 IVs
IV 1 with 2 level, IV2 with 3 levels and IV 3 with 5 levels
All participants were tested in all conditions
Mixed ANOVA
One IV is manipulated between participant
One IV is manipulated within participants
Entering Data into SPSS
Each row is a participant
each column provides a bit of information about that participants
Reporting ANOVA - Basic structure
Basic structure:
1- descriptive statistics: table of descriptive statistics
Details of how data meet assumptions
2- Results of ANOVA: main effect of IV1, main effect of IV2. Interaction
3- interaction plot
Test of homogeneity of variance
Levene’s test in spss
The rule of four
Non-parametric test
There is no non-parametric equivalent to multi-way ANOVA
you will need to split the analysis into the main effect, and analyse each main effect separately
Interactions cannot be tested using a non-parametric test
the choice of non-parametric test depends on: how many conditions are within the IV