Define t-test
- A t-test is a type of inferential statistic used to determine if there is a significant difference between the means of two groups
Define paired t-test
- Paired t-tests examine differences on the same group of people
Define independent t-test
- Tests the difference between two groups (between the mean scores)
larger the difference, the more likely what
that our t-test will be significant
Define ANOVA test
is a statistical method that separates observed variance data into different components to use for additional tests
Define variance
variance is a measure of how spread out a data set is
Define one-way ANOVA
is used to determine whether there are any statistically significant differences between the means of two or more independent (unrelated) groups
Define repeated measures ANOVA
Repeated measures ANOVA is the equivalent of the one-way ANOVA, but for related, not independent groups, and is the extension of the dependent t-test
Define mixed model ANOVA
- A mixed model ANOVA is a combination of a between-unit ANOVA and a within-unit ANOVA. It requires a minimum of two categorical independent variables, sometimes called factors, and at least one of these variables has to vary between-units and at least one of them has to vary within-units.
What do we get from a mixed model anova
- A main effect for group
- A main effect for time
- Potentially an interaction effect
Define degrees of freedom
Number of individual scores that are free to vary without changing the means
Define homogeneity of variance
The spread of scores around each mean is approximately equal
What is used to determine where the difference are
Post Hoc
A significant what will tell you there is a difference between groups
F-ratio
