Unscripted E1: Moving from Multiple Regression to Structural Equation Modeling

In our inaugural episode of CenterStat Unscripted ‪@centerstat‬ we review the multiple regression model, highlight the advantages and potential disadvantages and discuss why you might be motivated to move to the structural equation model (SEM). Advantages include a closer correspondence to theory, being able to assess omnibus model fit, testing mediation and moderation, and including latent factors to account for measurement error. We also argue about violating personal space and how much is TOO much white board pen sniffing.
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Bollen, K. A. (2002). Latent variables in psychology and the social sciences. Annual Review of Psychology, 53, 605-634.
Bollen, K., & Lennox, R. (1991). Conventional wisdom on measurement: A structural equation perspective. Psychological Bulletin, 110, 305.
Lee, S., & Hershberger, S. (1990). A simple rule for generating equivalent models in covariance structure modeling. Multivariate Behavioral Research, 25, 313-334.
Rigdon, E. E. (2012). Rethinking partial least squares path modeling: In praise of simple methods. Long Range Planning, 45, 341-358.
Rigdon, E. E. (2014). Rethinking partial least squares path modeling: breaking chains and forging ahead. Long Range Planning, 47, 161-167.
Sterba, S. K., & MacCallum, R. C. (2010). Variability in parameter estimates and model fit across repeated allocations of items to parcels. Multivariate Behavioral Research, 45, 322-358.
Sterba, S. K., & Rights, J. D. (2016). Accounting for parcel-allocation variability in practice: Combining sources of uncertainty and choosing the number of allocations. Multivariate Behavioral Research, 51, 296-313.
Sterba, S. K., & Rights, J. D. (2017). Effects of parceling on model selection: Parcel-allocation variability in model ranking. Psychological Methods, 22, 47.
key words: multiple regression, structural equation modeling, SEM, mediation, moderation, model fit, latent variables, latent factors, measurement errors, pen sniffing

[@urielsaldivar6415]

Thanks for sharing. You make stats a lot more fun!

[@nilaSLPS]

Thank you so much! Keep doing videos like this please :)

[@majidghasemy7482]

awsoem session as can be expected

[@centerstat]

Thanks so much -- we hope you find it of some use despite the general silliness.....

[@mrspascal1]

Can you please talk about the drama of SEMNET?! Lol