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
Review slide
Tabachnick and Fidell - most comprehensive of all decision trees. Asks about structure (latent structure that might underlie a set of variables) and prediction of group membership (whether can predict a group someone might belong to from a set of variables)
“Does caffeine intake and age predict reaction time”
Multiple regression
“Do caffeine intake and age predict whether or not someone is an honours student?”
Logistic regression - used when outcome variable is discrete or categorical
“Is life satisfaction related to the number of social events attended per month”
Bivariate correlation
“Does early life adversity predict gut health later in life?”
Bivariate regression
“Do body dysmorphia and vicarious trauma predict fear of childbirth?”
Multiple linear regression
“Is there a difference in fluid intelligence scores for people with good sleep quality compared to people with poor sleep quality?”
Independent groups t-test
“Is there a difference in empathic tendencies when the same group of participants are assessed in the morning compared to when they are assessed in the evening?”
Repeated measures t-test
“Is there a difference in athletic ability in people from NSW, QLD, & VIC?”
One-way between groups ANOVA
“Is there a difference in self-reported resilience before, during and following a physical activity intervention?”
One-way within subjects ANOVA
“During public speaking, does the effect of audience size (small or large) on physiological arousal differ depending on whether the person is introverted or extraverted?”
Interaction effect of two-way between groups ANOVA
“Do changes in mood state across a day (morning, afternoon, evening) differ according to the season (summer, autumn, spring)?”
Interaction effect of two-way within subjects ANOVA
“Following a musical therapy intervention, is there a greater improvement in cognitive functioning for individuals who played an instrument in childhood compared to those who did not?”
Interaction effect of two-way mixed ANOVA
“Does confidence in the reliability of a witness predict verdict in a criminal trial?”
Logistic regression
“Does a tendency to make source memory errors predict belief in conspiracy theories once political ideology is accounted for?”
Hierarchical multiple regression
