Week 8 Flashcards
The General Linear Model Purpose
Strengths & directions of relationships & differences
Strengths of interventions & manipulations
ANOVA’s are categorical differences between
Different conditions in a study
Different groups in a study
ANOVA’s & t-tests are special kinds of linear regression
One-way ANOVA
Three or more groups, one outcome variable
(Group) & (Measure)
Factorial (Multi-way) ANOVA
Two or more groups; two or more categorical predictor variables; one outcome variable
(Group & Sex) & (Measure)
Repeated measures ANOVA
One group; two or more categorical predictor variables; one outcome variable
(Intervention & State) & (Measure)
Mixed ANOVA
Two or more groups; one or more categorical predictor variables; one outcome variable
(Intervention & Drug & Sex) & (Measure)
Post-Hoc Tests
Can be run to see which groups were significantly different from each other
Assumptions in ANOVA
Observations are independent
Variance of difference groups or conditions should be equal
Residuals will be normally distributed
in RMAONVA, the differences between of a variable should have equal variance
ANOVA
Is a statistical method of comparing two or more sample means
The General Linear Model Works Because?
That the residuals will be normally distributed
Different statistical tests combine linearly
Range of the F statistic
Between 0 - infinity