Understanding Anova and Correlation in Research Studies
Classified in Mathematics
Written at on English with a size of 3.31 KB.
Ch 12 Anova
Goal/purpose: Evaluate mean difference between 2 or more treatments
- Factor: The IV that designates the groups being compared
- Levels: Individual conditions or values that make up a factor
- Factorial design: A study that combines two or more factors
The Logic:
- Between treatment variance
- Variability results from general differences between the treatment conditions
- Variance between treatments measures differences among sample means
- Within treatments variance
- Variability within each sample
- Individual scores are not the same within each sample
Notations:
k= # of treatment condition
T= sum of squares for each treatment
G= grand total of all scores in study
N= total number of scores
kn= when all samples are same size
n1,n2= # of scores in each treatment
Post
... Continue reading "Understanding Anova and Correlation in Research Studies" »