PARTFUNDED SCHOLARHPS for the course "Structural Equation Modelling for Ecologists and Evolutionary Biologists”
PR STATISTICS ARE PLEASED TO ANNOUNCE THAT THROUGH THEIR FUNDING SCHEME THEY CAN OFFER 5 PART-FUNDED SCHOLARSHIPS FOR OUR UP-COMING COURSE "Structural Equation Modelling for Ecologists and Evolutionary Biologists (SEMR01)” SCHOLARSHIPS CONTRIBUTE TOWARDS COURSE FEES WITH 5 PLACES AVAILABLE AT £405.00 (Fees have been subsidised by 40% from £670.00). Applications should be sent to [email protected] and contain the following. 1. Full name 2. Institute name 3. PhD subject title or Post doc research questions 4. Do you hold a funded position 5. 150 words why this course would be relevant to your research or how it would help. Application deadline is Tuesday 12th September 2017 and decisions will be made by Thursday 14th September 2017 We still have ‘normal’ places available for anyone else interested. Full course details are given below "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 Other up-coming courses are as follows 1. 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/ 2. REPRODUCIBLE DATA SCIENCE FOR POPULATION GENETICS 23rd – 27th October, Wales, Dr. Thibaut Jombart, Zhian Kavar http://www.prstatistics.com/course/genetic-data-analysis-exploration-using- r-gdar03/ 3. 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/ 4. 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/ 5. 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/ 6. 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/ 7. 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/ 8. 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/ 9. ANIMAL MOVEMENT ECOLOGY (ACOUSTIC TELELEMTRY DATA ANALYSIS (February 2018) #ANME 19th – 23rd February 2018, Wales, Dr Luca Borger, Dr. John Fieberg 01. 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/ 11. 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/ 12. INTRODUCTION TO MARXAN FOR PLANNING MPA’S #MRXN 12TH – 16TH March 2018, Wales, Jennifer McGowan https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/ 13. ECOLOGICAL NICHE MODELLING USING R #ENMR 26th – 30th March 2018, Wales, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r- enmr02/ 14. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA 9th – 13th April 2018, Scotland, Dr. Marco Scotti 15. MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES IN R WITH THE VEGAN PACKAGE #VGNR 23rd – 27th April 2018, Scotland, Prof. Peter Solymos, Dr Guillaume Blnachet 16. ECOLOGICAL AND EVOLUTIONARY BIOGEOGRAPHY #EEBR 30TH April – 4th May 2018, Scotland, Dan Warren, Matt Fitzpatrick 17. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP 14th – 18th May 20128, Canada, Prof. Pierre Legendre, Dr. Guillaume Blanchet (TBC) 18. INTRODUCTIO9N TO MIXED MODELS FOR ECOLOGISTS USING R #IMMR 28TH May – 1st June 2018, Canada, Subhash Lele 19. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV0 8th – 12th July 2018, Scotland, Prof David Warton https://www.prstatistics.com/course/model-base-multivariate-analysis-of- abundance-data-using-r-mbmv02/ 20. SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R #SPAE Prof. Jason Matthiopoulos, Dr. James Grecian - Date and location to be confirmed http://www.prstatistics.com/course/spatial-analysis-ecological-data-using-r- spae05/ 21. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM Dr. Andrew Parnell, Dr. Andrew Jackson – Date and location to be confirmed https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r- simm03/# 22. MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE Prof. Subhash Lele, Dr. Peter Solymos - Date and location to be confirmed https://www.prstatistics.com/course/multivariate-analysis-of-spatial- ecological-data-using-r-mase01/ 23. INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS #IRFB Dr. Luc Bussiere, Dr Ane Laugen - Date and location to be confirmed https://www.prstatistics.com/course/introduction-to-statistics-and-r-for- biologists-irfb/ 24. TIME SERIES MODELS FOR ECOLOGISTS USING R #TSME Dr. Andrew Parnell – Date and location to be confirmed https://www.prstatistics.com/course/time-series-models-foe-ecologists- tsme01/ 25. META-ANALYSIS IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCES #METR01 Prof. Julia Koricheva, Prof. Elena Kulinskaya - Date and location to be confirmed https://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and- environmental-sciences-metr01/ ---------------------------------------------------------------------------- -------------- 1. INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL 16th – 20th October, Scotland, Dr. Martin Jones http://www.prstatistics.com/course/introduction-to-bioinformatics-using- linux-ibul02/ 2. 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/ 3. 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/ 4. 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/ 5. EUKARYOTIC METABARCODING 23rd – 27th July 2018, Scotland, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/ 6. CODING, DATA MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS #CDSR Dr. Aline Quadros 7. BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS #BIGB Scotland, Dr. Nic Blouin, Dr. Ian Misner -- 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
