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DESCRIPTION
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DESCRIPTION
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Package: MOTE
Version: 1.0.2
Date: 2019-04-10
Title: Effect Size and Confidence Interval Calculator
Authors@R: c(person("Erin M.", "Buchanan", role = c("aut", "cre"),
email = "[email protected]",
comment = c(ORCID = "0000-0002-9689-4189")),
person("Amber M", "Gillenwaters", role = "aut",
comment = c(ORCID = "0000-0002-7580-3591")),
person("John E.", "Scofield", role = "aut",
comment = c(ORCID = "0000-0001-6345-1181")),
person("K. D.", "Valentine", role = "aut",
comment = c(ORCID = "0000-0001-6349-5395")))
Depends: R (>= 3.1.0)
Imports: MBESS, stats, ez, reshape
Description: 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. For more
information, visit <https://www.aggieerin.com/shiny-server>.
License: LGPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2