Introduction to Structural Equation Modelling with R

Description:

Dissecting the course title, SEM is a (if not the most) widely used multivariate technique for hypothesising complex relationships among variables and testing the resultant statistical models and it is applied in many disciplines. R (www.R-project.org) is open source software that is becoming the global standard in statistical computing, offering an extensive collection of tools for statistics and data analysis (as well as a powerful programming language coupled with flexible visualization). Specifically, the “lavaan” package provides commercial-quality latent variable modelling capabilities, for instance Path Analysis, Confirmatory Factor Analysis, SEM, and Growth Curve Models.

Cost:

Student £150
Staff £250

Website and registration:

http://www.aston.ac.uk/aston-business-school/programmes/research/summer-school-in-advanced-research-methods/

Region:

West Midlands

Keywords:

Latent Variable Models, Structural equation models, Quantitative Software

Related publications and presentations:

Latent Variable Models
Structural equation models
Quantitative Software

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