medjs_paths: Compute Power for Mediated (Indirect) Effects Using Joint...

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

Compute Power for Mediated (Indirect) Effects Using Joint Significance Requires paths for all effects (and if 2 mediators, correlation) Standard deviations/variances set to 1.0 so paths are technically standardized

Description

Compute Power for Mediated (Indirect) Effects Using Joint Significance Requires paths for all effects (and if 2 mediators, correlation) Standard deviations/variances set to 1.0 so paths are technically standardized

Usage

medjs_paths(
  a1,
  a2 = NULL,
  b1,
  b2 = NULL,
  rm1m2 = NULL,
  cprime,
  n,
  alpha = 0.05,
  mvars,
  rep = 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
rm1m2	Correlation first mediator (m1) and second mediator (m2)
cprime	Path between predictor and dependent variable
n	Sample size
alpha	Type I error (default is .05)
mvars	Number of Mediators
rep	number of repetitions (1000 is default)

Value

Power for Mediated (Indirect) Effects using Paths Coefficients

Examples

medjs_paths(a1=.25, b1=-.5,cprime=.2,mvars=1, n=150)
medjs_paths(a1=.25, a2=.1, b1=-.5,b2=-.2,cprime=.2,mvars=1, n=150)

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