sTest_one: S test for Indirect Effect for a single mediator

In ieTest: Indirect Effects Testing Methods in Mediation Analysis

S test for Indirect Effect for a single mediator

Description

This function takes the estimate of the effect of the independent variable on the mediator and the effect of the mediator on the effect as well as their variances and performs the S test. Alternative null hypothesis can be specified as well. Additionally, covariances of the parameters can be specified for cases involving missing data where the estimates may be correlated.

Usage

sTest_one(alpha, x1, s11, df1, x2, s22, df2, x10 = 0, x20 = 0, s12 = 0)

Arguments

alpha	Significance level for the test of significance
x1	Numeric value of the estimated first effect of interest
s11	Numeric value of the estimated first effect variance
df1	Degrees of freedom for estimate x1
x2	Numeric value of estimated second effect of interest
s22	Numeric value of the estimated second effect variance
df2	Degrees of freedom for estimate x2. Often the same as x1
x10	Optional numeric value of alternative null hypothesis value for the first effect
x20	Optional numeric value of alternative null hypothesis value for the second effect
s12	Specification of covariance between x1 and x2. Typically 0, but may be non-zero in the prescence of missing data

Value

Boolean True/False value of whether the test rejects the Null hypothesis

Note

The function for the S-test does not incorporate interactions between the independent and mediating variables. The user must first calculate the mean and variance of the second product term to be used in the function call.

References

Berger, Roger L. Likelihood Ratio Tests and Intersection-Union Tests. Advances in Statistical Decision Theory and Applications, 2011.

Examples

sTest_one(0.05, .5, 1, 100, -.25, .1, 100)

ieTest documentation built on April 12, 2025, 1:49 a.m.