size.test.cor2

Computes the sample size required to test equality of two Pearson or partial
correlation with desired power in a 2-group design. Set s = 0 for a Pearson
correlation. Set R = 1 for equal sample sizes.

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

size.test.cor2 function

<dl><dt>alpha</dt>
<dd>alpha level for hypothesis test</dd>
<dt>pow</dt>
<dd>desired power</dd>
<dt>cor1</dt>
<dd>planning value of correlation</dd>
<dt>cor2</dt>
<dd>planning value of correlation</dd>
<dt>s</dt>
<dd>number of control variables</dd>
<dt>R</dt>
<dd>n2/n1 ratio</dd></dl>

Arguments

Sample size for a test of equal Pearson or partial correlation in a 2-group
design — size.test.cor2

<dl>

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


<dt>pow</dt>
<dd>desired power</dd>


<dt>cor1</dt>
<dd>planning value of correlation</dd>


<dt>cor2</dt>
<dd>planning value of correlation</dd>


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


<dt>R</dt>
<dd>n2/n1 ratio</dd>

</dl>

size.test.cor2: Sample size for a test of equal Pearson or partial correlation in a 2-group design

Description

Usage

Value

Arguments

Examples