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Can I read Power Analysis for Parameter Estimation in Structural Equation Modeling: A Discussion and Tutorial on EtoBox?

Power Analysis for Parameter Estimation in Structural Equation Modeling: A Discussion and Tutorial by Y. Andre Wang; Mijke Rhemtulla is a Psychology article available to read on EtoBox.

What is Power Analysis for Parameter Estimation in Structural Equation Modeling: A Discussion and Tutorial about?

Despite the widespread and rising popularity of structural equation modeling (SEM) in psychology, there is still much confusion surrounding how to choose an appropriate sample size for SEM. Currently available guidance primarily consists of sample-size rules of thumb that are not backed up by research and power analyses for detecting model misspecification. Missing from most current practices is power analysis for detecting a target effect (e.g., a regression coefficient between latent variables). In this article, we (a) distinguish power to detect model misspecification from power to detect a target effect, (b) report the results of a simulation study on power to detect a target regression coefficient in a three-predictor latent regression model, and (c) introduce a user-friendly Shiny app, pwrSEM, for conducting power analysis for detecting target effects in structural equation models.

Who reads Power Analysis for Parameter Estimation in Structural Equation Modeling: A Discussion and Tutorial?

It is typically read by researchers, students, and practitioners in Psychology.

Author
Y. Andre Wang; Mijke Rhemtulla
Publisher
SAGE Publications
Published
2021
Language
EN
Field
Psychology (Social Sciences)

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