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An Introduction to Structural Equation Modeling for Ecology & Evolutionary Biology

ClimBEco
Dr. Jarrett Byrnes from UMASS Boston, one of the developer of the ‘lavaan’ package in R, are visiting Lund University one week in February 2019 to introduce structural equation modeling for ecology and evolutionary biology students and researchers.

Structural Equation Modeling (SEM) or path analysis is a multivariate technique that can test for the nature and magnitude of direct and indirect effects of multiple interacting factors. SEM is an approach that interprets information about the observed correlations among the traits of organisms or groups of organisms in order to evaluate complex causal relationships.

It is a rich technique that is particularly well suited for large-scale observational community or population data sets. Its intuitive connection to how we conceive of our study systems makes it a powerful and useful technique for ecologists and evolutionary biologists. The aim of this course is to familiarize with the basic techniques of SEM using the ‘lavaan’ package in R.

Schedule

Before the course starts students are required to work through a preclass-excerise and tutorial.

Day 1.

Lectures: What is SEM? How can it be part of your research program, SEM as a process: Creating multivariate causal models, Fitting piecewise models

Exercises: Creating causal conceptual models, Piecewise model creation

Day 2.

Lectures: Fitting observed variable models with covariance structures, What does it mean to evaluate a multivariate hypothesis? ANCOVA revisited & nonlinearities.

Exercises: Fitting observed variable structural equation models in R

Day 3.

Lectures: Multigroup models, Latent variable models

Exercises: Multigroup analysis and the introduction of the latent variable

Day 4.

Lectures: Composite variables, Prediction using SEMs, Dealing with clustered data, space and time, How to fool yourself with SEM (sensu Kline)

Exercises: Composites & other advanced techniques

Day 5.

Open lab and student presentations

Deadline to apply 31st of January, send an email to christian [dot] alsterberg [at] biol [dot] lu [dot] se

Time: 
11 February 2019 10:00 to 15 February 2019 15:00
Location: 
Sölvegatan 37, Ecologybuilding, Lund
Contact: 
christian.alsterberg [at] biol.lu.se

About the event

Time: 
11 February 2019 10:00 to 15 February 2019 15:00
Location: 
Sölvegatan 37, Ecologybuilding, Lund
Contact: 
christian.alsterberg [at] biol.lu.se