"Structural Equation Modelling for Ecologists and Evolutionary Biologists”
Delivered by Dr. Jarret Byrnes and Dr. Jon Lefcheck www.prstatistics.com/course/structural-equation-modelling-for-ecologists- and-evolutionary-biologists-semr01/ This course will run from 23rd - 27th October 2017 at Margam Park Discovery Centre, Wales, UK Course only and all inclusive packages are available. The course is a primer on structural equation modelling (SEM) and confirmatory path analysis, with an emphasis on practical skills and applications to real-world data. Structural Equation Modelling (SEM) is a rapidly growing technique in ecology and evolution that unites multiple hypotheses in a single causal network. It provides an intuitive graphical representation of relationships among variables, underpinned by well-described mathematical estimation procedures. Several advances in SEM over the past few years have expanded its utility for typical ecological datasets, which include count data, missing observations, and nested or hierarchical designs. We will cover the basic philosophy behind SEM, provide approachable mathematical explanations of the techniques, and cover recent extensions to mixed effects models and non-normal distributions. Along the way, we will work through many examples from the primary literature using the open- source statistical software R (www.r-project.org). We will draw on two popular R packages for conducting SEM, including lavaan and piecewiseSEM. Participants are encouraged to bring their own data, as there will be opportunities throughout the course to plan, analyse, and receive feedback on structural equation models. Course content is as follows Day 1 Introduction to SEM Module 1: What is Structural Equation Modeling? Why would I use it? Module 2: Creating multivariate causal models Module 3: Fitting piecewise models Readings: Grace 2010 (overview), Whalen et al. 2013 (example) Day 2 SEM Using Likelihood Module 4: Fitting Observed Variable models with covariance structures Module 5: What does it mean to evaluate a multivariate hypothesis? Module 6: Latent Variable models Module 7: ANCOVA revisited & Nonlinearities Readings: Grace & Bollen 2005, Shipley 2004 Optional Reading: Pearl 2012, Pearl 2009 (causality) Day 3 Piecewise SEM Module 8: Introduction to piecewise approach Module 9: Incorporation of random effects models Model 10: Autocorrelation Reading: Shipley 2009; Lefcheck 2016 Day 4 Advanced Topics with Likelihood and Piecewise SEM Module 11: Multigroup models and non-linearities Module 12: Composite Variables Module 13: Phylogenetically-correlated data Module 14: Prediction using SEM Module 15: How To Reject A Paper That Uses SEM Readings: Grace & Julia 1999, von Hardenberg & Gonzalez‐Voyer 2013 Day 5 Open Lab and Final Presentations Please email any inquiries to [email protected] or visit our website www.prstatistics.com Please feel free to distribute this material anywhere you feel is suitable PR stats other courses 1. 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INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM 29th Jan – 2nd Feb 2018, SCENE, Scotland, Dr. Andrew Parnell http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical- modelling-using-r-ibhm02/ 10. PHYLOGENETIC DATA ANALYSIS USING R #PHYL 28th Jan – Feb 2nd 2018, SCENE, Scotland, Dr. Emmanuel Paradis https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis- with-r-phyg-phyl02/ 11. MOVEMENT ECOLOGY #MOVE 19th – 23rd February 2018, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr Jonathan Potts https://www.prstatistics.com/course/movement-ecology-move01/ 12. GEOMETRIC MORPHOMETRICS USING R #GMMR 19th – 23rd February 2018, Wales, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/ 13. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION #FEER 5th – 9th March 2018, SCENE, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos Carmona http://www.prstatistics.com/course/functional-ecology-from-organism-to- ecosystem-theory-and-computation-feer01/ 14. SPATIAL PRIORITIZATION USING MARXAN #MRXN 5th - 9th March 2018, Wales, Jennifer McGowan https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/ 15. ECOLOGICAL NICHE MODELLING USING R #ENMR 12th - 16th March 2018, SCENE, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r- enmr02/ 16. BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML 19th – 23rd March 2018, Scotland, Dr William Hoppitt COMING SOON www.PSstatistics.com 17. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA 9th – 13th April 2018, SCENE, Scotland, Dr. Marco Scotti https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/ 18. INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R #IPSY 16th – 20th April 2018, SCENE, Scotland, Dr. Dale Barr, Dr Luc Bussierre COMING SOON www.PSstatistics.com 19. MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE #VGNR 23rd – 27th April 2018, SCENE, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet https://www.prstatistics.com/course/multivariate-analysis-of-ecological- communities-in-r-with-the-vegan-package-vgnr01/ 20. QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES #QGER 30th April – 4th May 2018, SCENE, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick COMING SOON www.PRstatistics.com 21. INTRODUCTION TO MIXED MODELS FOR ECOLOGISTS #IMMR 14th - 18th May 2018, CANADA (QUEBEC) STILL to be confirmed, Prof Subhash Lele, Dr. Guillaume Blanchet 22. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM 28th May – 1st June 2018, CANADA (QUEBEC) STILL to be confirmed Dr. Andrew Parnell, Dr. Andrew Jackson 23. SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR 2nd - 5th12th July 2018, Prof James Curley COMING SOON www.PSstatistics.com 24. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV 8th – 12th July 2018, Prof David Warton https://www.prstatistics.com/course/model-base-multivariate-analysis-of- abundance-data-using-r-mbmv02/ 25. EUKARYOTIC METABARCODING 23rd – 27th July 2018, Wales, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/ 26. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be confirmed -- Oliver Hooker PhD. PR informatics 2017 publications - Ecosystem size predicts eco-morphological variability in post-glacial diversification. Ecology and Evolution. - The physiological costs of prey switching reinforce foraging specialization. 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