medjs: 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 correlations between all variables as sample size. This is the recommended approach for determining power

Description

Compute Power for Mediated (Indirect) Effects Using Joint Significance Requires correlations between all variables as sample size. This is the recommended approach for determining power

Usage

medjs(
  rx1x2 = NULL,
  rx1m1,
  rx1m2 = NULL,
  rx1m3 = NULL,
  rx1m4 = NULL,
  rx1y,
  rx2m1 = NULL,
  rx2m2 = NULL,
  rx2m3 = NULL,
  rx2m4 = NULL,
  rx2y,
  rym1,
  rym2 = NULL,
  rym3 = NULL,
  rym4 = NULL,
  rm1m2 = NULL,
  rm1m3 = NULL,
  rm1m4 = NULL,
  rm2m3 = NULL,
  rm2m4 = NULL,
  rm3m4 = NULL,
  n,
  alpha = 0.05,
  mvars,
  rep = 1000,
  pred = 1
)

Arguments

rx1x2	Correlation between first predictor (x1) and second predictor (x2)
rx1m1	Correlation between first predictor (x1) and first mediator (m1)
rx1m2	Correlation between first predictor (x1) and second mediator (m2)
rx1m3	Correlation between first predictor (x1) and third mediator (m3)
rx1m4	Correlation between first predictor (x1) and fourth mediator (m4)
rx1y	Correlation between DV (y) and first predictor (x1)
rx2m1	Correlation between second predictor (x2) and first mediator (m1)
rx2m2	Correlation between second predictor (x2) and second mediator (m2)
rx2m3	Correlation between second predictor (x2) and third mediator (m3)
rx2m4	Correlation between second predictor (x2) and fourth mediator (m4)
rx2y	Correlation between DV (y) and second predictor (x2)
rym1	Correlation between DV (y) and first mediator (m1)
rym2	Correlation between DV (y) and second mediator (m2)
rym3	Correlation DV (y) and third mediator (m3)
rym4	Correlation DV (y) and fourth mediator (m4)
rm1m2	Correlation first mediator (m1) and second mediator (m2)
rm1m3	Correlation first mediator (m1) and third mediator (m3)
rm1m4	Correlation first mediator (m1) and fourth mediator (m4)
rm2m3	Correlation second mediator (m2) and third mediator (m3)
rm2m4	Correlation second mediator (m2) and fourth mediator (m4)
rm3m4	Correlation third mediator (m3) and fourth mediator (m4)
n	Sample size
alpha	Type I error (default is .05)
mvars	Number of Mediators
rep	number of repetitions (1000 is default)
pred	number of predictors (default is one)

Value

Power for Mediated (Indirect) Effects

Examples

medjs(rx1m1=.3, rx1m2=.3, rx1m3=.25, rx1y=-.35, rym1=-.5,rym2=-.5, rym3 = -.5,
rm1m2=.7, rm1m3=.4,rm2m3=.4, mvars=3, n=150)

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