ci.indirect

Computes a Monte Carlo confidence interval (500,000 trials) for a population
unstandardized indirect effect in a path model and a Sobel standard error.
This function is not recommended for a standardized indirect effect. The
Monte Carlo method is general in that the slope estimates and standard
errors do not need to be OLS estimates with homoscedastic standard errors.
For example, LAD slope estimates and their standard errors, OLS slope
estimates and heteroscedastic-consistent standard errors, and (in models
with no direct effects) distribution-free Theil-Sen slope estimates with
recovered standard errors also could be used.

Implements confidence interval and sample size methods that
are especially useful in psychological research. The methods can be
applied in 1-group, 2-group, paired-samples, and multiple-group designs
and to a variety of parameters including means, medians, proportions,
slopes, standardized mean differences, standardized linear contrasts
of means, plus several measures of correlation and association.
Confidence interval and sample size functions are given for single
parameters as well as differences, ratios, and linear contrasts of
parameters. The sample size functions can be used to approximate the
sample size needed to estimate a parameter or function of parameters
with desired confidence interval precision or to perform a variety of
hypothesis tests (directional two-sided, equivalence, superiority,
noninferiority) with desired power. For details see: Statistical Methods
for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.

Douglas G. Bonett

statpsych

Statistical Methods for Psychologists

Robert J. Calin-Jageman

ci.indirect function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>b1</dt>
<dd>unstandardized slope estimate for first path</dd>
<dt>b2</dt>
<dd>unstandardized slope estimate for second path</dd>
<dt>se1</dt>
<dd>standard error for b1</dd>
<dt>se2</dt>
<dd>standard error for b2</dd></dl>

Arguments

Confidence interval for an indirect effect — ci.indirect

<dl>

<dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>


<dt>b1</dt>
<dd>unstandardized slope estimate for first path</dd>


<dt>b2</dt>
<dd>unstandardized slope estimate for second path</dd>


<dt>se1</dt>
<dd>standard error for b1</dd>


<dt>se2</dt>
<dd>standard error for b2</dd>

</dl>

ci.indirect: Confidence interval for an indirect effect

Description

Usage

Value

Arguments

Examples