Week 1 - Analytic Choices Flashcards
“Are caffeine intake and reaction time related?”
Bivariate correlation
“Does caffeine intake predict reaction time”
Bivariate regression
“Do reaction time scores differ across groups with different levels of caffeine consumption (i.e., 0mg of caffeine vs. 50mg vs. 100mg)”
One way between groups ANOVA
Do reaction time scores differ when we give the same group of participants different levels of caffeine (i.e., 0mg, 50mg, 100mg)”
One way within subjects ANOVA
“Does the influence of caffeine consumption on reaction time differ depending on reinforcement type?”
Factorial ANOVA - two way ANOVA
What constitutes a two-way between subjects ANOVA
- Different people across each level of both IV’s
- Different people in each cell type
What constitutes a two-way mixed ANOVA
One group between and one within. Assigned to one level of an IV and complete all levels of the other IV
What constitutes a two-way within subjects ANOVA
- Same people in all cells
- Every participant does every level of both IV’s
“is there a difference in reaction time scores across levels of reinforcement” is looking at what effect?
Main effect
If you seen large differences in caffeine intake on reaction time when given positive reinforcement, but not negative reinforcement, what effect would this be describing?
Interaction effect
Interaction effect
Whether the effect of one IV (on DV) depends on the level of the other IV
Main effect
Overall effect of one IV averaging over the levels of the other IV
Review slide
Basic stat decision tree by Howell - user friendly and easy to follow.
Includes non-parametric equivalent to parametric tests as well
Review slide
Corston & Coleman - similar to Howell’s, but relies on some different terms to categorise data e.g., ordinal, interval
Review slide
Field - more advanced (includes more tests): illustrates that even though structured differently to other decision trees, asking different questions, it still leads you to the same answer