Concepts

Question 1

One way ANOVA

Answer 1

See how much of the variability in the OV can be explained by the PV
Comparing variability between groups against the variability within groups

Question 2

Interaction

Answer 2

The effect of core PV on the OV is different for different levels of moderator (moderated by another PV)
Can be difference in direction or size

Question 3

Interaction: main effect PV on x-axis

Answer 3

Check direction of both lines
Main effect if same direction

Question 4

Interaction: main effect moderator PV:

Answer 4

Check positioning of lines
If one line always above the other then main effect of moderator PV

Question 5

Interaction: interaction effect

Answer 5

Check if lines are parallel
If they have different slopes there is an interaction effect

Question 6

Factorial ANOVA

Answer 6

Examining how much of the variance in our data can be explained by our predictor variables
Full model relationship to individual PV relationship)

Question 7

Normal regression

Answer 7

Examine how much of the data can be explained by the PVs
When both PV and OV are quantitative

Question 8

Logistic regression

Answer 8

Aim is to predict how likely it is that an event will occur, that the OV is equal to 1 or how likely that OV is equal to 0
Using odds ratio

Question 9

Logistic regression
High cutoff rate

Answer 9

LESS 1s MORE 0s

Prediction of extra 0s are not correct for probability of correct estimates for 0 decreases and for 1 increases

Question 10

Logistic regression
Low cutoff rate

Answer 10

MORE 1s LESS 0s

Prediction of extra 1s are not correct for probability of correct estimates for 1s decrease and for 0s increase