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Friday April 19, 2024 |
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Workshop Series Structural Equation Modeling: Theory and Application During the autumn of 2012, Örebro University in Sweden will offer a series of workshops on Structural Equation Modeling (SEM) using Mplus. SEM refers to a group of multidisciplinary methods for studying causal relations. The courses are taught in English. Content of the workshops The workshops are multidisciplinary and are highly relevant for those interested in improving their knowledge and skills on a wide range of advanced methodology. The five workshops review the theoretical background and application of data analysis with SEM techniques. Each workshop day will be composed of two integral parts: Theory and Application (using Mplus software). During the first part of each workshop, a survey will be provided of the latest theoretical and statistical concepts and assumptions of SEM framework. The workshops will deal with recent developments involving model building, model comparison, model specification and identification for several modeling techniques (e.g., path analysis, confirmatory factor analysis, structural equation models, multiple group modeling). The conceptual overviews of each analytical technique will be illustrated by relevant examples. During the second part of each workshop, the students will learn how to use Mplus software to specify and test the models discussed theoretically. Students are required to complete practice assignments to enhance their understanding of the statistical techniques, and develop skills of independently applying analytical procedures. The following workshops will be held on the following days: SEM Workshop I: Introduction to Structural Equation Modeling (9th of October)
SEM Workshop II: Path analysis and Model Testing (16th of October)
SEM workshop III: Methods involving Latent Variables (18th of October)
SEM workshop IV: Moderation Analysis and Interaction Effects (23rd of October)
SEM workshop V: Mediation analysis and indirect effects (30th of October)
Requirements:
Applying for the course:
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