Week 8 Flashcards
The purpose of GLM statistical tests is to assess the
Strengths and directions of relationships and differences
Strengths of interventions and manipulations
Why does the GLM work
As it assumes the residuals will be distributed normally
And it assumes the different statistical tests combine linearly
ANOVA fits…
Regression model fits…
GLM fits…
ANOVA (Analysis of variance) fits categorical effects
Regression model fits continuous effects
GLM may fit both categorical effects and continuous effects
ANOVA are for categorical differences between
Different conditions in a study (intervention 1 vs intervention 2; drug vs placebo)
Different groups in a study (intervention vs control, old vs young)
One way ANOVA
three or more groups; one outcome variable
Factorial (or multi-way) ANOVA
Multi-way ANOVA is used when there are two or more independent variables (factors) influencing the dependent variable.
Repeated measures (or within-subjects) ANOVA
- Repeated Measures ANOVA is used when the same subjects are used for each treatment (or condition) in an experiment. It involves measuring the same individuals or subjects under different conditions or at different points in time.
Mixed ANOVA
- Mixed-Design ANOVA is a combination of both within-subjects (repeated measures) and between-subjects (independent measures) factors.
Multiple outcome variables
MANOVA
Continuous predictor variable
ANCOVA
Discrete outcome variable
Logistic regression
Multiple predictor and outcome variables
Multivariate regression
What is Repeated Measure (RM) ANOVA
Involves multiple measures of the same variable taken on the same or matched subjects either under different conditions or over two or more time periods.
How to report one-way ANOVA results
F (df1, df2) = F value, p value
Assumptions in ANOVA
Observations are independent
Variance of different groups or conditions should be near equal
Residuals (unexplained variance or error) will be normally distributed
