asq_one: ASQ-Test for the indirect effect - Single mediator path

In ieTest: Indirect Effects Testing Methods in Mediation Analysis

ASQ-Test for the indirect effect - Single mediator path

Description

This function takes a vector of significance levels, as well as estimates and covariances, or 2 U values, for the asq-test for either one mediator of one path of an unordered mediation scenario. If estimates are passed to the function, the user must specify what distribution is to be used to find the cumulative probabilities. The smallest significance level for which the test is significant is returned, or 1 if no provided levels are significant. Additionally, the cutoff, either specified by number of squares or the percentage towards the center of the transformation region, can be specified.

Usage

asq_one(
  alpha,
  u1 = NULL,
  u2 = NULL,
  V1Dist = NULL,
  V1 = NULL,
  V1_VAR = NULL,
  V1_DF = NULL,
  V2Dist = NULL,
  V2 = NULL,
  V2_VAR = NULL,
  V2_DF = NULL,
  V2b = 0,
  V2b_VAR = 0,
  V2bmult = 1L,
  V1_V2_cov = 0,
  V1_V2b_cov = 0,
  V2_V2b_cov = 0,
  V1_0 = 0,
  V2_0 = 0,
  V2b_0 = 0,
  numSquares = 4L,
  upLim = 0.5
)

Arguments

alpha	Significance levels to be tested.
u1, u2	The U values to be used in the test. Given priority over estimates, but both must be supplied.
V1Dist	String value specifying the distribution of the estimate of the independent variable on the mediator. Ignored if u1 and u2 are supplied.
V1	Value of the estimate of the independent variable on the mediator. Ignored if u1 and u2 are supplied.
V1_VAR	Value of the variance of the estimate of the independent variable on the mediator. Ignored if u1 and u2 are supplied.
V1_DF	Degrees of freedom for V1. Only needed if t-distribution is used.
V2Dist	String value specifying the distribution of the estimate of the mediator (and interaction term) on the response.
V2	Value of the estimate of the mediator on the response. Ignored if u1 and u2 are supplied.
V2_VAR	Value of the variance of the estimate of the mediator on the response.. Ignored if u1 and u2 are supplied.
V2_DF	Degrees of freedom for V2. Only needed if t-distribution is used..
V2b	Value of the estimate of the effect of the interaction of the independent and mediator variable on the response. Ignored if u1 and u2 are supplied.
V2b_VAR	Value of the variance of the estimate of the effect of the interaction of the independent and mediator variable on the response. Ignored if u1 and u2 are supplied.
V2bmult	Value indicating the value of the independent variable used for the interaction. Typically 1.
V1_V2_cov	Value of the covariance between V1 and V2. Typically 0 for fully observed data.
V1_V2b_cov	Value of the covariance between V1 and V2b. Typically 0 for fully observed data.
V2_V2b_cov	Value of the covariance between V2 and V2b.
V1_0	Null value for V1.
V2_0	Null value for V2.
V2b_0	Null value for V2b.
numSquares	The number of squares to be used in the asq-test. Always superseded by upLim.
upLim	The allowed extension, between 0 and 1, of the squares towards the center of the region

Value

The smallest significance level that would reject the null hypothesis.

Examples

asq_one(c(.05, .01, .001), u1 = .02, u2= .015, upLim = .55)

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