BootES: An R package for bootstrap confidence intervals on effect sizes
Bootstrap Effect Sizes (bootES; Gerlanc & Kirby, 2012 ) is a free, open-source software package for R (R Development Core Team, 2012 ), which is a language and environment for statistical computing. BootES computes both unstandardized and standardized effect sizes (such as Cohen’s d , Hedges’s g...
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| Published in | Behavior research methods Vol. 45; no. 4; pp. 905 - 927 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Boston
Springer US
01.12.2013
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Bootstrap Effect Sizes (bootES; Gerlanc & Kirby,
2012
) is a free, open-source software package for R (R Development Core Team,
2012
), which is a language and environment for statistical computing. BootES computes both unstandardized and standardized effect sizes (such as Cohen’s
d
, Hedges’s
g
, and Pearson’s
r
) and makes easily available for the first time the computation of their bootstrap confidence intervals (CIs). In this article, we illustrate how to use bootES to find effect sizes for contrasts in between-subjects, within-subjects, and mixed factorial designs and to find bootstrap CIs for correlations and differences between correlations. An appendix gives a brief introduction to R that will allow readers to use bootES without having prior knowledge of R. |
|---|---|
| AbstractList | Bootstrap Effect Sizes (bootES; Gerlanc & Kirby, 2012) is a free, open-source software package for R (R Development Core Team, 2012), which is a language and environment for statistical computing. BootES computes both unstandardized and standardized effect sizes (such as Cohen's d, Hedges's g, and Pearson's r) and makes easily available for the first time the computation of their bootstrap confidence intervals (CIs). In this article, we illustrate how to use bootES to find effect sizes for contrasts in between-subjects, within-subjects, and mixed factorial designs and to find bootstrap CIs for correlations and differences between correlations. An appendix gives a brief introduction to R that will allow readers to use bootES without having prior knowledge of R. Bootstrap Effect Sizes (bootES; Gerlanc & Kirby, 2012) is a free, open-source software package for R (R Development Core Team, 2012), which is a language and environment for statistical computing. BootES computes both unstandardized and standardized effect sizes (such as Cohen's d,Hedges's g, and Pearson's r) and makes easily available for the first time the computation of their bootstrap confidence intervals (CIs). In this article, we illustrate how to use bootES to find effect sizes for contrasts in between-subjects, within-subjects, and mixed factorial designs and to find bootstrap CIs for correlations and differences between correlations. An appendix gives a brief introduction to R that will allow readers to use bootES without having prior knowledge of R. [PUBLICATION ABSTRACT] Bootstrap Effect Sizes (bootES; Gerlanc & Kirby, 2012 ) is a free, open-source software package for R (R Development Core Team, 2012 ), which is a language and environment for statistical computing. BootES computes both unstandardized and standardized effect sizes (such as Cohen’s d , Hedges’s g , and Pearson’s r ) and makes easily available for the first time the computation of their bootstrap confidence intervals (CIs). In this article, we illustrate how to use bootES to find effect sizes for contrasts in between-subjects, within-subjects, and mixed factorial designs and to find bootstrap CIs for correlations and differences between correlations. An appendix gives a brief introduction to R that will allow readers to use bootES without having prior knowledge of R. Bootstrap Effect Sizes (bootES; Gerlanc & Kirby, 2012) is a free, open-source software package for R (R Development Core Team, 2012), which is a language and environment for statistical computing. BootES computes both unstandardized and standardized effect sizes (such as Cohen's d, Hedges's g, and Pearson's r) and makes easily available for the first time the computation of their bootstrap confidence intervals (CIs). In this article, we illustrate how to use bootES to find effect sizes for contrasts in between-subjects, within-subjects, and mixed factorial designs and to find bootstrap CIs for correlations and differences between correlations. An appendix gives a brief introduction to R that will allow readers to use bootES without having prior knowledge of R.Bootstrap Effect Sizes (bootES; Gerlanc & Kirby, 2012) is a free, open-source software package for R (R Development Core Team, 2012), which is a language and environment for statistical computing. BootES computes both unstandardized and standardized effect sizes (such as Cohen's d, Hedges's g, and Pearson's r) and makes easily available for the first time the computation of their bootstrap confidence intervals (CIs). In this article, we illustrate how to use bootES to find effect sizes for contrasts in between-subjects, within-subjects, and mixed factorial designs and to find bootstrap CIs for correlations and differences between correlations. An appendix gives a brief introduction to R that will allow readers to use bootES without having prior knowledge of R. |
| Author | Gerlanc, Daniel Kirby, Kris N. |
| Author_xml | – sequence: 1 givenname: Kris N. surname: Kirby fullname: Kirby, Kris N. email: kris.n.kirby@williams.edu organization: Department of Psychology, Williams College – sequence: 2 givenname: Daniel surname: Gerlanc fullname: Gerlanc, Daniel organization: Enplus Advisors Inc |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23519455$$D View this record in MEDLINE/PubMed |
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| Copyright | Psychonomic Society, Inc. 2013 Copyright Springer Science & Business Media Dec 2013 |
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| Keywords | Confidence intervals R Computer software Effect size Bootstrap Resampling Statistics |
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| Snippet | Bootstrap Effect Sizes (bootES; Gerlanc & Kirby,
2012
) is a free, open-source software package for R (R Development Core Team,
2012
), which is a language and... Bootstrap Effect Sizes (bootES; Gerlanc & Kirby, 2012) is a free, open-source software package for R (R Development Core Team, 2012), which is a language and... |
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| SubjectTerms | Appendix Behavioral Science and Psychology Cognitive Psychology Confidence Intervals Data Interpretation, Statistical Estimates Humans Hypotheses Mathematical Computing Population Programming Languages Psychologists Psychology Sample Size Software Software Design Task forces |
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| Title | BootES: An R package for bootstrap confidence intervals on effect sizes |
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