Power Analyses Power Hour: Understanding and Conducting Statistical Power For Your Research

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dc.contributor.authorRay, Elizabeth
dc.contributor.authorKlein, Neela
dc.date.accessioned2025-02-10T12:42:11Z
dc.date.available2025-02-10T12:42:11Z
dc.date.issued2025-02-07
dc.descriptionElizabeth Ray is a Social Psychology PhD Candidate from the PBS Department working with Advisor, Dr. Ed Hirt. She joined the Indiana Statistical Consulting Center as a Consultant in the spring of 2023. She earned her MS in Psychology in 2022 as well as a BS in Psychology, Philosophy, and Sociology with concentrations in social research and ethics at the University of Indianapolis. Neela Klein is a Social Psychology PhD Candidate from the PBS Department working with Advisor, Dr. Kurt Hugenberg. As a consultant at the Indiana Statistical Consulting Center with an MS in Experimental Psychology from William & Mary, and a BA in Psychology from University of Richmond, Neela specializes in experimental and survey design, as well as race and gender research.
dc.description.abstractFrom research design, to grant proposals, preregistrations, post hoc results interpretation, journal submissions, and beyond, power analysis is an important part of the scientific process. A priori power analysis determines the sufficient sample size needed to reach desired power and effect size without wasting resources through overpowering a study and without underpowering a study or analysis. The goal of this workshop is to provide IU faculty, staff, and graduate students an accessible, conceptual, and practical understanding of statistical power, effect size, writing power analysis results, and using G*Power software. The workshop will cover power analysis related definitions, theoretical concepts such as the importance of power analysis, point and click examples in G*Power, resources, and more. Though not required, to make the most of your attendance, arrive with the free and open source software, G*Power, already downloaded.
dc.identifier.urihttps://hdl.handle.net/2022/33394
dc.language.isoen_US
dc.publisherIndiana University Workshop in Methods
dc.relation.urihttps://purl.dlib.indiana.edu/iudl/media/k41z40tj0q
dc.rightsThis work may be protected by copyright unless otherwise stated.
dc.titlePower Analyses Power Hour: Understanding and Conducting Statistical Power For Your Research
dc.typePresentation

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