mix2_data

Example data for a mixed two-way ANOVA examining whether instructions to
ignore backward strength in free association (BSG) reduce overestimation in
response probabilities. Participants provided estimates of how many out of
100 people would say a given response to a target word ("Family Feud"-style),
under low vs. high BSG conditions, after receiving either regular or
debiasing instructions.

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

mix2_data function

A data frame with 3 variables:<dl>
 <dt>group</dt>
<dd>Factor indicating instruction condition with levels
 <code>"Regular JAM Task"</code> and <code>"Debiasing JAM task"</code>.</dd> <dt>bsglo</dt>
<dd>Numeric. Estimated response percentage in the Low
BSG condition.</dd> <dt>bsghi</dt>
<dd>Numeric. Estimated response percentage in the High
BSG condition.</dd>
</dl>

Format

Mixed Two-Way ANOVA Example Data — mix2_data

A data frame with 3 variables:<dl>
 <dt>group</dt>
<dd>Factor indicating instruction condition with levels
 <code>"Regular JAM Task"</code> and <code>"Debiasing JAM task"</code>.</dd>

 <dt>bsglo</dt>
<dd>Numeric. Estimated response percentage in the Low
BSG condition.</dd>

 <dt>bsghi</dt>
<dd>Numeric. Estimated response percentage in the High
BSG condition.</dd>


</dl>

mix2_data: Mixed Two-Way ANOVA Example Data

Description

Usage

Arguments

Format