Conducting Power Analysis in Structural Equation Modeling

Quantitative Methods Workshop Series

Conducting Power Analysis in Structural Equation Modeling. This course takes place on Mar 20 (2:30 pm - 5:30 pm)

<p>I﻿nstructor: Y. Andre Wang, PhD (yilinandre.wang@utoronto.ca)</p><p>Structural equation modeling (SEM) is a popular analytic technique in psychology, but planning for studies that rely on SEM for data analysis (“SEM studies”) can be challenging. This workshop will introduce attendees to power analysis for SEM studies. In the first hour of the workshop, attendees will learn the distinction between power to detect model misspecification (“Can I tell a good model from a bad one?”) and power to detect a target effect (“Can I find a true effect?”), and they will connect these power considerations to their research goals. In the second hour of the workshop, attendees will walk through a hands-on tutorial on using pwrSEM (Wang &amp; Rhemtulla, 2021), a free, open-source web application to conduct both kinds of power analysis. The workshop will also offer practical guidance on what population values to use in power analysis for SEM studies and dealing with the uncertainty that is inherent in power analysis. Familiarity with SEM is recommended but not required. No statistical software or programming background is required. Recommended for anyone who works with variations of SEM (e.g., confirmatory factor analysis, path analysis, mediation, latent growth curve modeling).</p>

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Conducting Power Analysis in Structural Equation Modeling

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Conducting Power Analysis in Structural Equation Modeling

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