Table 6.
Power in Detecting the Indirect Path Varies by Between-Person Variance (BPvar).
| Model | ||||||||
|---|---|---|---|---|---|---|---|---|
| Direct Path | BPvar | CSM | SM | DM | CLPM3 | CLPM5 | MCSMa | MLMb |
| 0 | 0 | 0.95 | 0.95 | 0.92 | 0.72 | 0.82 | 1.00 | 1.00 |
| 0.0025 | 0.95 | 0.94 | 0.90 | 0.72 | 0.83 | 1.00 | 1.00 | |
| 0.01 | 0.96 | 0.96 | 0.79 | 0.76 | 0.81 | 1.00 | 1.00 | |
| 0.0225 | 0.95 | 0.97 | 0.74 | 0.69 | 0.81 | 1.00 | 1.00 | |
| 0.36 | 0 | 0.99 | 0.99 | 0.99 | 0.85 | 0.92 | 1.00 | 1.00 |
| 0.0025 | 1.00 | 0.99 | 0.95 | 0.85 | 0.90 | 1.00 | 1.00 | |
| 0.01 | 1.00 | 0.99 | 0.89 | 0.85 | 0.89 | 1.00 | 1.00 | |
| 0.0225 | 0.99 | 0.99 | 0.79 | 0.86 | 0.88 | 1.00 | 1.00 | |
Note. X and M are equally stable at 0.50 and the a, b, and y paths are 0.36 for all conditions. All path coefficients are fixed. Powers less than 0.80 are boldfaced. CSM = cross-sectional mediation; SM = sequential mediation; DM = dynamic mediation; CLPM = cross-lagged panel mediation; MCSM = multilevel cross-sectional mediation; MLM = multilevel longitudinal mediation.
a
MCSM is the generating model for MCSM and CSM analysis. MCSM uses all 100 people and all 100 time points for analysis. bMLM is the generating model for MLM, SM, DM, and CLPM analysis. MLM uses all 100 people and all 100 time points for analysis.