power.cor2

Computes the approximate power of a test for equal population Pearson or
partial correlations in a 2-group design for planned sample sizes. Set
s = 0 for Pearson correlations.

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

power.cor2 function

<dl><dt>alpha</dt>
<dd>alpha level for hypothesis test</dd>
<dt>n1</dt>
<dd>planned sample size for group 1</dd>
<dt>n2</dt>
<dd>planned sample size for group 2</dd>
<dt>cor1</dt>
<dd>planning value of correlation for group 1</dd>
<dt>cor2</dt>
<dd>planning value of correlation for group 2</dd>
<dt>s</dt>
<dd>number of control variables</dd></dl>

Arguments

Approximates the power of a test for equal correlations in a 2-group design
for planned sample sizes — power.cor2

<dl>

<dt>alpha</dt>
<dd>alpha level for hypothesis test</dd>


<dt>n1</dt>
<dd>planned sample size for group 1</dd>


<dt>n2</dt>
<dd>planned sample size for group 2</dd>


<dt>cor1</dt>
<dd>planning value of correlation for group 1</dd>


<dt>cor2</dt>
<dd>planning value of correlation for group 2</dd>


<dt>s</dt>
<dd>number of control variables</dd>

</dl>

power.cor2: Approximates the power of a test for equal correlations in a 2-group design for planned sample sizes

Description

Usage

Value

Arguments

Examples