Recording from UseR Oslo's meetup on September 2nd, 2021 -
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Abstract: We often formulate models to understand how our data is connected. However, it is difficult to assess whether our model is a good representation of the data or the generalizability of our model to other contexts. In this lighting talk, we will explore meta-analytic structural equational modelling (MASEM) with the {metaSEM} package.
MASEM combines meta-analyses and structural equational modeling to test a single model or compare several models supported by different studies or theories. With {metaSEM}, researchers can combine data from several primary studies to reach general conclusion about the generalizability of a model. We will show you the steps to perform a MASEM analysis. Additionally, we will demonstrate the use of MASEM models in the educational assessment field.
Speaker: Diego G. Campos is a doctoral research fellow at the Centre for Educational Measurement at the University of Oslo (CEMO). His research covers meta-analysis, structural equational models, and multilevel analysis. Diego is currently working in the use of IPD meta-analysis for the synthesis of complex survey data.
Slides and R code used in this presentation can be found here:
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Example used in the talk:
Scherer, R., & Teo, T. (2019). Unpacking teachers’ intentions to integrate technology: A meta-analysis. Educational Research Review, 27, 90-109. [ Ссылка ]
The talk is moderated by Wolfgang Viechtbauer, the creator of {metafor}
