dept_data

Dataset for use in <code>d_dep_t_diff</code>, <code>d_dep_t_diff_t</code>,
<code>d_dep_t_avg</code>, and <code>d_dep_t_rm</code> exploring the before
and after effects of scifi movies on supernatural beliefs.

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

dept_data function

A data frame of before and after scores for rating
supernatural beliefs.
before: scores rated before watching a scifi movie
after: scores rated after watching a scifi movie

Format

Dependent t Example Data — dept_data

Dependent t Example Data

dept_data: Dependent t Example Data

Description

Usage

Arguments

Format

References