ci.cor.dep

Computes a confidence interval for a difference in population Pearson
correlations that are estimated from the same sample and have one
variable in common. A bias adjustment is used to reduce the bias
of each Fisher transformed correlation. An approximate standard error
is recovered from the confidence interval.

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.cor.dep function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>cor1</dt>
<dd>estimated Pearson correlation between y and x1</dd>
<dt>cor2</dt>
<dd>estimated Pearson correlation between y and x2</dd>
<dt>cor12</dt>
<dd>estimated Pearson correlation between x1 and x2</dd>
<dt>n</dt>
<dd>sample size</dd></dl>

Arguments

Confidence interval for a difference in dependent Pearson correlations — ci.cor.dep

<dl>

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


<dt>cor1</dt>
<dd>estimated Pearson correlation between y and x1</dd>


<dt>cor2</dt>
<dd>estimated Pearson correlation between y and x2</dd>


<dt>cor12</dt>
<dd>estimated Pearson correlation between x1 and x2</dd>


<dt>n</dt>
<dd>sample size</dd>

</dl>

ci.cor.dep: Confidence interval for a difference in dependent Pearson correlations

Description

Usage

Value

Arguments

References

Examples