introduction
programme
lecturers
registration
fees
local
organization
information
coordination
 
 
 
Introduction
Many problems in ecology and evolutionary biology require understanding of the relationships among variables and examining their relative influences and responses. For example, over the last few decades ecologists have been trying to quantify the relative importance of top-down control by predation and herbivory vs. bottom-up control by nutrients and recruitment driving food web dynamics. Rather than arguing which of these forces are more important, we can examine the relative importance of each and how these forces interact to influence food web dynamics.
 
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 goal of this workshop is to familiarize ecologists the basic techniques of SEM using the 'lavaan' package in R.
 

Eligible participants and application requirements:
The course is directed to Ph.D. students, post-docs and researchers in biology/environmental science with basic statistical knowledge (e.g. linear regression and one-way ANOVA) using R, SPSS, Statistica, etc.

 
This course will accept up to 25 participants.
 
*new deadline*
REGISTRATION AND PAYMENT DUE BY 25th JANUARY 2013
*new deadline*
 
NOTE: Previously to attending this course, applicants are advised class preparation, details in http://jarrettbyrnes.info/ubc_sem/
 
NOTE: During this course, students will also have the opportunity to begin working with their own data, so bring it with you!