medserial_paths: Compute Power for Serial Mediation Effects Requires...

In pwr2ppl: Power Analyses for Common Designs (Power to the People)

Compute Power for Serial Mediation Effects Requires correlations between all variables as sample size. This approach calculates power for the serial mediation using joint significance (recommended) and path coefficients

Description

Compute Power for Serial Mediation Effects Requires correlations between all variables as sample size. This approach calculates power for the serial mediation using joint significance (recommended) and path coefficients

Usage

medserial_paths(a1, a2, b1, b2, d, cprime, n, alpha = 0.05, reps = 1000)

Arguments

a1	path between predictor and first mediator
a2	path between predictor and first mediator
b1	Path between first mediator and dependent variable
b2	Path between first mediator and dependent variable
d	Path first mediator (m1) and second mediator (m2)
cprime	Path between predictor and dependent variable
n	Sample size
alpha	Type I error (default is .05)
reps	number of repetitions (1000 is default)

Value

Power for Serial Mediated (Indirect) Effects

Examples

medserial_paths(a1=.3, a2=.3, b1=.35,
b2=.3,d=.2,cprime=.1,n=150)

pwr2ppl documentation built on Sept. 6, 2022, 5:06 p.m.