size.ci.indirect

Computes the approximate sample size required to estimate a population
standardized indirect effect in a simple mediation model. The direct effect
of the independent (exogenous) variable on the response variable, controlling
for the mediator variable, is assumed to be negligible.
For more details, see Section 1.19 of Bonett (2021, Volume 4)

Implements confidence interval and sample size methods that are especially
useful in psychological research but are also useful in educational, social science,
business, and biological research. This package includes more than 100 confidence
interval functions and more than 80 sample size functions for 1-group, 2-group,
paired-samples, and multiple-group designs and for a variety of parameters including
means, medians, proportions, slopes, standardized mean differences, standardized
linear contrasts of means, and several measures of correlation and association. 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 about these methods 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

size.ci.indirect function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>cor1</dt>
<dd>planning value of correlation between the independent and mediator variables</dd>
<dt>cor2</dt>
<dd>planning value of correlation between the mediator and response variables</dd>
<dt>w</dt>
<dd>desired confidence interval width</dd></dl>

Arguments

Sample size for an indirect effect confidence interval — size.ci.indirect

<dl>

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


<dt>cor1</dt>
<dd>planning value of correlation between the independent and mediator variables</dd>


<dt>cor2</dt>
<dd>planning value of correlation between the mediator and response variables</dd>


<dt>w</dt>
<dd>desired confidence interval width</dd>

</dl>

size.ci.indirect: Sample size for an indirect effect confidence interval

Description

Usage

Value

Arguments

References

Examples