Structural Equation Model (Basic)
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Contents
The course includes the follwoing topics:
- Introduction to SEM
- Basic skeleton of SEM
- Covariance matrix
- Latent variables
- Path Co-efficient
- Model accuracy
- Hands-on practice using R
No prior knowledge needed.
Participants are expected to participate actively and to bring their own laptops.
Lecturer
Swapna is a Postdoc at iDiv and the University of Leipzig. Her research interests encompass the following domains: Biodiversity, Remote Sensing, Dispersal Ecology, Biogenic Emissions, Machine Learning, and Deep Learning. She obtained her PhD from the Indian Institute of Technology Kharagpur in Ecology and Remote Sensing. Additionally, she holds a Master's degree in Environmental Science.
