"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. META-ANALYSIS IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCES #METR01 24th – 28th July, Scotland, Prof. Julia Koricheva, Prof. Elena Kulinskaya http://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and- environmental-sciences-metr01/ 2. SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R #SPAE 7th – 12th August 2017, Scotland, Prof. Jason Matthiopoulos, Dr. James Grecian http://www.prstatistics.com/course/spatial-analysis-ecological-data-using-r- spae05/ 3. ECOLOGICAL NICHE MODELLING USING R #ENMR 16th – 20th October 2017, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r- enmr01/ 4. GENETIC DATA ANALYSIS AND EXPLORATION USING R #GDAR 23rd – 27th October, Wales, Dr. Thibaut Jombart, Zhian Kavar http://www.prstatistics.com/course/genetic-data-analysis-exploration-using- r-gdar03/ 5. STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS USING R #SEMR 23rd – 27th October, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck http://www.prstatistics.com/course/structural-equation-modelling-for- ecologists-and-evolutionary-biologists-semr01/ 6. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R #LNDG 6th – 10th November, Wales, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r- lndg02/ 7. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME 20th - 25th November 2017, Scotland, Prof. Jason Matthiopoulos, Dr. Matt Denwood http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists- epidemiologists-abme03/ 8. ADVANCING IN STATISTICAL MODELLING USING R #ADVR 11th – 15th December 2017, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane Timenes Laugen, http://www.prstatistics.com/course/advancing-statistical-modelling-using-r- advr07/ 9. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM 29th Jan – 2nd Feb 2018, Scotland, Dr. Andrew Parnell http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical- modelling-using-r-ibhm02/ 10. PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL 28th Jan – Feb 2nd Dr. Emmanuel Paradis – Date and location to be confirmed https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis- with-r-phyg-phyl02/ 11. ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME 19th – 23rd February 2018, Wales, Dr Luca Borger, Dr. John Fieberg 12. GEOMETRIC MORPHOMETRICS USING R #GMMR 5th – 9th June 2017, Scotland, 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, 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. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV0 8th – 12th July 2018, Prof David Warton 15. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be confirmed 16. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM Dr. Andrew Parnell, Dr. Andrew Jackson – Date and location to be confirmed 17. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA Dr. Marco Scotti - Date and location to be confirmed 18. MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE Prof. Subhash Lele, Dr. Peter Solymos - Date and location to be confirmed 19. TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME Dr. Andrew Parnell - Date and location to be confirmed ---------------------------------------------------------------------------- ------------------------------------- PR informatics other courses 1. BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS #BIGB 3rd – 7th July 2017, Scotland, Dr. Nic Blouin, Dr. Ian Misner http://www.prinformatics.com/course/bioinformatics-for-geneticists-and- biologists-bigb02/ 2. INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL 16th – 20th October, Scotland, Dr. Martin Jones http://www.prstatistics.com/course/introduction-to-bioinformatics-using- linux-ibul02/ 3. INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB 27th Nov – 1st Dec, Wales, Dr. Martin Jones http://www.prinformatics.com/course/introduction-to-python-for-biologists- ipyb04/ 4. INTRODUCTION REMOTE SENSING AND GIS APPLICATIONS FOR ECOLOGISTS #IRMS 27th Nov – 1st Dec, Wales, Dr Duccio Rocchini, Dr. Luca Delucchi http://www.prstatistics.com/course/introduction-to-remote-sensing-and-gis- for-ecological-applications-irms01/ 5. DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP 11th – 15th December 2017, Wales, Dr. Martin Jones http://www.prinformatics.com/course/data-visualisation-and-manipulation- using-python-dvmp01/ 6. EUKARYOTIC METABARCODING 23rd – 27th July 2018, Scotland, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/ 7. CODING, DATA MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS #CDSR Dr. Aline Quadros -- Oliver Hooker PhD. PR statistics 2017 publications - Ecosystem size predicts eco-morphological variability in post-glacial diversification. Ecology and Evolution. In press. The physiological costs of prey switching reinforce foraging specialization. Journal of animal ecology. prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 3/1, 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340
