q_stat_test_homo_r

Calculate the Q statistic to test for homogeneity of correlation
coefficients.
See p. 235 of the book Hedges &amp; Olkin (1985),
Statistical Methods for Meta-Analysis (ISBN: 0123363802).

A collection of functions for analyzing data typically collected
or used by behavioral scientists. Examples of the functions include
a function that compares groups in a factorial experimental design,
a function that conducts (robust) two-way analysis of variance (ANOVA),
and a function that cleans a data set generated by Qualtrics surveys.
Some of the functions will require installing additional package(s).
Such packages and other references are cited within the section
describing the relevant functions. Many functions in this package
rely heavily on these two popular R packages:
Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>.
Wickham et al. (2021) <https://CRAN.R-project.org/package=ggplot2>.

Jin Kim

Behavioral Scientists' Analysis Toolkit

q_stat_test_homo_r function

<dl><dt>z</dt>
<dd>a vector of z values</dd>
<dt>n</dt>
<dd>a vector of sample sizes which will be used to calculate the
weights, which in turn will be used to calculate the weighted z.</dd></dl>

Arguments

Q statistic for testing homogeneity of correlations — q_stat_test_homo_r

<dl>

<dt>z</dt>
<dd>a vector of z values</dd>


<dt>n</dt>
<dd>a vector of sample sizes which will be used to calculate the
weights, which in turn will be used to calculate the weighted z.</dd>

</dl>

q_stat_test_homo_r: Q statistic for testing homogeneity of correlations

Description

Usage

Value

Arguments

Examples