[R-sig-eco] 'STATS COURSE' - Structural equation modelling (error with dates in last post)

Thu Feb 16 17:55:07 CET 2017

"Structural Equation Modelling for Ecologists and Evolutionary 
Biologists”

Delivered by Dr. Jarret Byrnes and Dr. Jon Lefcheck

http://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr01/

This course will run from 30th October – 3rd November 2017 at Margam 
Park Discovery Centre, Wales (please ignore the dates in the last post 
saying 30th November, should of read 3rd of November).

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 oliverhooker at prstatistics.com or visit our 
website www.prstatistics.com

Please feel free to distribute this material anywhere you feel is 
suitable

Our other courses
1.	STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
28th Feb – 3rd Mar 2017, Scotland, Dr. Andrew Parnell, Dr. Andrew 
Jackson
http://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm03/

2.	NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
6th – 10th March 2017, Scotland, Dr. Marco Scotti
http://www.prstatistics.com/course/network-analysis-ecologists-ntwa01/

3.	ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R 
#MVSP
3rd – 7th April 2017, Scotland, Prof. Pierre Legendre, Dr. Olivier 
Gauthier
http://www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp02/

4.	ADVANCING IN STATISTICAL MODELLING FOR EVOLUTIONARY BIOLOGISTS AND 
ECOLOGISTS USING R #ADVR
17th – 21st April 2017, Scotland, Dr. Luc Bussiere, Dr. Ane Timenes 
Laugen
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr06/

5.	CODING, DATA MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR 
EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS #CDSR
15th - 19th May, Scotland Dr. Aline Quadros
http://www.prstatistics.com/course/coding-data-management-and-shiny-applications-using-rstudio-for-evolutionary-biologists-and-ecologists-cdsr01/

6.	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/

7.	MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE
19th – 23rd June, Scotland, Prof. Subhash Lele, Dr. Peter Solymos
http://www.prstatistics.com/course/multivariate-analysis-of-spatial-ecological-data-using-r-mase01/

8.	TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME
26th – 30th June, Canada, Dr. Andrew Parnell

9.	BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS #BIGB
3rd – 7th July 2017, Scotland, Dr. Nic Blouin, Dr. Ian Misner
http://www.prstatistics.com/course/bioinformatics-for-geneticists-and-biologists-bigb02/

10.	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/

11.	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/

12.	INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL
16th – 20th October, Scotland, Dr. Martin Jones
http://www.prstatistics.com/course/introduction-to-bioinformatics-using-linux-ibul02/

13.	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/

14.	STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY 
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23rd – 27th October, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck
http://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr01/

15.	LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R #LNDG
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16.	APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME
20th - 25th November 2017, Scotland, Prof. Jason Matthiopoulos, Dr. Matt 
Denwood
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17.	INTRODUCTION TO METHODS FOR REMOTE SENSING #IRMS
27th Nov – 1st Dec, Wales, Dr Duccio Rocchini, Dr. Luca Delucchi

18.	INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
27th Nov – 1st Dec, Wales, Dr. Martin Jones
http://www.prstatistics.com/course/introduction-to-python-for-biologists-ipyb04/

19.	DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP
11th – 15th December 2017, Wales, Dr. Martin Jones
http://www.prstatistics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/

20.	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/

21.	INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
29th Jan – 2nd Feb, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/

22.	ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME
??th - ??th February, Wales, Dr Luca Borger, Dr. John Fieberg

23.	AQUATIC TELEMENTRY DATA ANALYSIS USIR R (TBC) #ATDAR

Oliver Hooker PhD.
PR statistics

3/1
128 Brunswick Street
Glasgow
G1 1TF

+44 (0) 7966500340

www.prstatistics.com
www.prstatistics.com/organiser/oliver-hooker//

-- 
Oliver Hooker PhD.
PR statistics

3/1
128 Brunswick Street
Glasgow
G1 1TF

+44 (0) 7966500340

www.prstatistics.com
www.prstatistics.com/organiser/oliver-hooker/