bn2_data

Example data for a between-subjects two-way ANOVA examining whether
athletic spending differs by sport type and coach experience.
This dataset contains simulated athletic budgets (in thousands of dollars)
for baseball, basketball, football, soccer, and volleyball teams,
with either a new or old coach. Designed for use with
<code>omega.partial.SS.bn</code>, <code>eta.partial.SS</code>, and
other between-subjects ANOVA designs.

datasets

Measure of the Effect ('MOTE') is an effect size calculator, including a
wide variety of effect sizes in the mean differences family (all versions of d) and
the variance overlap family (eta, omega, epsilon, r). 'MOTE' provides non-central
confidence intervals for each effect size, relevant test statistics, and output
for reporting in APA Style (American Psychological Association, 2010,
<ISBN:1433805618>) with 'LaTeX'. In research, an over-reliance on p-values
may conceal the fact that a study is under-powered (Halsey, Curran-Everett,
Vowler, & Drummond, 2015 <doi:10.1038/nmeth.3288>). A test may be statistically
significant, yet practically inconsequential (Fritz, Scherndl, & Kühberger, 2012
<doi:10.1177/0959354312436870>). Although the American Psychological Association
has long advocated for the inclusion of effect sizes (Wilkinson & American
Psychological Association Task Force on Statistical Inference, 1999
<doi:10.1037/0003-066X.54.8.594>), the vast majority of peer-reviewed,
published academic studies stop short of reporting effect sizes and confidence
intervals (Cumming, 2013, <doi:10.1177/0956797613504966>). 'MOTE' simplifies
the use and interpretation of effect sizes and confidence intervals.

Erin M. Buchanan

MOTE

Effect Size and Confidence Interval Calculator

Amber M Gillenwaters

John E. Scofield

K. D. Valentine

bn2_data function

A data frame with 3 variables:<dl>
 <dt>coach</dt>
<dd>Factor with levels <code>"old"</code> and
<code>"new"</code> indicating coach experience.</dd> <dt>type</dt>
<dd>Factor indicating sport type: <code>"baseball"</code>,
<code>"basketball"</code>, <code>"football"</code>, <code>"soccer"</code>, or
<code>"volleyball"</code>.</dd> <dt>money</dt>
<dd>Numeric. Athletic spending in thousands of dollars.</dd>
</dl>

Format

Between-Subjects Two-Way ANOVA Example Data — bn2_data

A data frame with 3 variables:<dl>
 <dt>coach</dt>
<dd>Factor with levels <code>"old"</code> and
<code>"new"</code> indicating coach experience.</dd>

 <dt>type</dt>
<dd>Factor indicating sport type: <code>"baseball"</code>,
<code>"basketball"</code>, <code>"football"</code>, <code>"soccer"</code>, or
<code>"volleyball"</code>.</dd>

 <dt>money</dt>
<dd>Numeric. Athletic spending in thousands of dollars.</dd>


</dl>

bn2_data: Between-Subjects Two-Way ANOVA Example Data

Description

Usage

Arguments

Format