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.
For more details, see Section 2.17 of Bonett (2021, Volume 2)

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

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