test.anova.bs

Computes the F statistic, p-value, eta-squared, and adjusted eta-squared
for the main effect in a one-way between-subjects ANOVA using the estimated
group means, estimated group standard deviations, and group 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

test.anova.bs function

<dl><dt>m</dt>
<dd>vector of estimated group means</dd>
<dt>sd</dt>
<dd>vector of estimated group standard deviations</dd>
<dt>n</dt>
<dd>vector of group sample sizes</dd></dl>

Arguments

Between-subjects F statistic and eta-squared from summary information — test.anova.bs

<dl>

<dt>m</dt>
<dd>vector of estimated group means</dd>


<dt>sd</dt>
<dd>vector of estimated group standard deviations</dd>


<dt>n</dt>
<dd>vector of group sample sizes</dd>

</dl>

Data Engineering and BI courses are free this week!

test.anova.bs: Between-subjects F statistic and eta-squared from summary information

Description

Usage

Value

Arguments

Examples