Front | Back |
Have 1 independent variable with 3 or more levels (basically just an extension of 2 group designs)
|
Multiple group designs
|
2 conditions when choosing a multi-group design
|
1. will the addition of an extra group potentially provide meaningful, interesting, information? 2. Is it feasible to add additional group?
|
Each additional group ___ the number of participants we will need
|
Increases
|
What is the difference between 2 group designs and multi group designs?
|
Do not always have to compare 2 or more experimental groups to a control, you could compare different amounts of IV and could have "apple, oranges, pears" comparisons
|
Multi-group designs can be
|
Experimental or ex post facto
|
When would you need to use an ANOVA
|
- your independent variable (IV) is continuous - you have 3 or more groups
|
A hypothesis-testing technique used to compare means from three or more populations
|
One way analysis of variance (ANOVA)
|
What will always be the null hypotheses
|
All population means are equal
|
What will always be the alternative
|
At least one of the means is different from the others
|
What is ANOVA
|
- variability due to IV - variability due to error
|
What does some variability due to error include.
|
- individual differences - measurement of error - extraneous variables
|
In this case what does error mean.
|
Refers to any variability NOT due to IV
|
In F = between- groups variability / witin groups variability. What does "between- groups variability" stand for?
|
- variability due to IV & variability due to error
|
In F = between- groups variability / witin groups variability. What does "within groups variability" stand for?
|
Variability due to error
|
Error between and within groups should be ___ assuming the study isn't compounded
|
Similar
|