indb: Power for Comparing Independent Coefficients in Multiple...

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

Power for Comparing Independent Coefficients in Multiple Regression with Two or Three Predictors Requires correlations between all variables as sample size. Means, sds, and alpha are option. Also computes Power(All)

Description

Power for Comparing Independent Coefficients in Multiple Regression with Two or Three Predictors Requires correlations between all variables as sample size. Means, sds, and alpha are option. Also computes Power(All)

Usage

indb(
  ry1_1,
  ry2_1,
  ry3_1 = NULL,
  r12_1,
  r13_1 = NULL,
  r23_1 = NULL,
  n1,
  ry1_2,
  ry2_2,
  ry3_2 = NULL,
  r12_2,
  r13_2 = NULL,
  r23_2 = NULL,
  n2,
  alpha = 0.05
)

Arguments

ry1_1	Correlation between DV (y) and first predictor (1), first test
ry2_1	Correlation between DV (y) and second predictor (2), first test
ry3_1	Correlation between DV (y) and third predictor (3), first test
r12_1	Correlation between first (1) and second predictor (2), first test
r13_1	Correlation between first (1) and third predictor (3), first test
r23_1	Correlation between second (2) and third predictor (3), first test
n1	Sample size first test
ry1_2	Correlation between DV (y) and first predictor (1), second test
ry2_2	Correlation between DV (y) and second predictor (2), second test
ry3_2	Correlation between DV (y) and third predictor (3), second test
r12_2	Correlation between first (1) and second predictor (2), second test
r13_2	Correlation between first (1) and third predictor (3), second test
r23_2	Correlation between second (2) and third predictor (3), second test
n2	Sample size second test
alpha	Type I error (default is .05)

Value

Power for Comparing Independent Coefficients in Multiple Regression

Examples

indb(ry1_1=.40, ry2_1=.40, ry3_1 =-.40, r12_1=-.15,r13_1=-.60, r23_1=.25,
ry1_2=.40, ry2_2=.10, ry3_2 =-.40, r12_2=-.15,r13_2=-.60, r23_2=.25,
n1=50,n2=50, alpha=.05)

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