Table 2. Overview of the default and nine alternative designs used to investigate the effect of autocorrelation on power.
Situation | # of possible start moments, k | correlated B1 and I2 Mean, rBI | Equal # of obs. in B and I, #obsB = #obsI | Non-overlapping k | number of measurements, t | Mean diff. B and I, d | sd B | sd I |
---|---|---|---|---|---|---|---|---|
default | 3 | FALSE | TRUE | TRUE | 60 | 1 | 1 | 1 |
k = 2 | 2 | FALSE | TRUE | TRUE | 60 | 1 | 1 | 1 |
k = 4 | 4 | FALSE | TRUE | TRUE | 60 | 1 | 1 | 1 |
rBI | 3 | TRUE | TRUE | TRUE | 60 | 1 | 1 | 1 |
#obsB = #obsI | 3 | FALSE | FALSE | TRUE | 60 | 1 | 1 | 1 |
Non Overlap k | 3 | FALSE | TRUE | FALSE | 60 | 1 | 1 | 1 |
d = .3 | 3 | FALSE | TRUE | TRUE | 60 | 0.3 | 1 | 1 |
d = .6 | 3 | FALSE | TRUE | TRUE | 60 | 0.6 | 1 | 1 |
sdB = 2sdI | 3 | FALSE | TRUE | TRUE | 60 | 1 | 1.33 | 0.67 |
2sdB = sdI | 3 | FALSE | TRUE | TRUE | 60 | 1 | 0.67 | 1.33 |
Shaded cells show the factor level that is different from the default scenario.
1B = Baseline,
2I = Intervention