Ch. 9
Adding to your flow chart...
Within-subjects design: where every participant serves in every group/receives all levels of the
IV.
reducing subject variability
Advantages of Within-Subjects designs:
| Source of variance | df | SS | MS | F, p |
| Between | 1 | 72.9 | 72.9 | 3.99, .081 |
| Within | 8 | 146 | 18.25 |
| Source of variance | df | SS | MS | F, p |
| Between | 1 | 72.9 | 72.9 | 10.57, .031 |
| Within | 3 | 27.6 | 6.9 |
Disadvantages
Possible Solutions
p1: easy medium hard
p2 medium hard easy
p3: hard easy medium
p4: easy hard medium
p5: hard medium easy
p6: medium easy hard
P1: a1 a2 a3 a4
p2: a3 a1 a4 a2
p3: a2 a4 a1 a3
p4: a4 a3 a2 a1
But...
Treatment x Order Interaction: when how you respond to treatments depends on the order of how
treatments are presented
Repeated Measures Designs
e.g., longitudinal
Mixed designs
Matched designs: matching subjects on a particular characteristic (one related to the DV)
Balance between reduction of error variance/risk of time-related effects:
eg., Does dress style affect shock reaction?
As a between groups design...
As a within-groups design...
As a matched design....