Detailed information about the course
Structural Equation Modeling
29 April - 3 May 2019
Dr James Grace, US Geological Service, Lafayette, Luisiana
Natural systems are dynamic and involve many factors which interact and influence each other. This influence can be direct or indirect where effects can be «hidden» and the investigator will miss the importance of such background factors.
Structural Equation Modeling (SEM) is a statistical method to evaluate a priori theory-based models and a statistically more comprehensible alternative to null hypothesis testing. While other statistical techniques such as CCA, PCA or NMDS are rather used to explore multivariate datasets, SEM is used in confirmatory analyses and the evaluation of multivariate hypotheses. It has the capability to look at and distinguish between effects of different factors in one system which makes it possible to investigate multiple hypotheses at the same time. Therefore SEM is a powerful complementary skill to other multivariate techniques for researchers in ecology.
In this workshop the participants will be introduced to the topic and different methods of SEM. The course is a primer on structural equation modelling (SEM) and confirmatory path analysis, with an emphasis on practical skills and application. Theoretical content will be visualized and strengthened by practical exercises. Participants have the possibility to practice on prior to the course prepared datasets but are also encouraged to bring their own data. The used course software is R.
A basic statistics knowledge as well as basic skills in R are a precondition for this workshop
Pre-class Questionnaire on Background and Interests
Pre-class Practice Example using lavaan package in R
In-class Practice Exercise on Model Evaluation
Illustrations of Distinctive Features of SEM
Modeling More Abstract Hypotheses
In-class Practice Exercise with Composites
Introduction to Local Estimation and Evaluation
Introduction to the "piecewiseSEM" (PWSEM) Package
Introduction to 'Artisan' Implementations
Incorporating Non-Gaussian Responses
Accommodating Random Effects
Wrap up of Formal Lectures
Open Lab Time
Presentations and Discussions
University of Fribourg
2.5 ECTS with full attendance and active participation
29 April - 3 May 2019
9.00 - 17.00
University of Fribourg (CH)
Please note the different rooms:
Monday 29 April: Conference room 0.36, PER17 building - Chemin du Musée
Tuesday 30 April: Seminar room 0.367, PER05 building - Chemin du Musée
Wednesday 1 May: Conference room 0.36, PER17 building - Chemin du Musée
Thursday 2 May: Conference room 0.36, PER17 building - Chemin du Musée
Friday 3 May: Seminar room 0.109, PER04 building - Rue Albert-Gockel, 3
Phone: +41 (0)26 300 88 91
PhD students of the DPEE are eligible for reimbursement of incurred travel expenses by train (half-fare card, and 2nd class). Please send the original tickets along with the reimbursement form to:
NO reimbursement of your individual meal expenses
Regarding reimbursement of accomodation, please contact the coordinator of the doctoral program (ecologie-evolution(at)cuso.ch) BEFORE the beginning of the course. NO reimbursement of accomodation without the agreement in advance of the course of the coordinator of the doctoral program.
CUSO PhD students: through your MyCUSO account.
External participants (non-CUSO PhD students, post-docs, etc...): use the icon "registration" at top of page and the last gray box "non-CUSO student" ("personne hors myCUSO").
Deadline for registration: April 7, 2019. Priority will be given to CUSO DPEE PhD students until March 24, 2019.
CUSO DPEE PhD Students: free
Other CUSO members: 165 CHF (it includes all the 5 collective lunches, coffee breaks and a social dinner)
External participants (i.e. from a non-CUSO university): Please contact ecologie-evolution(at)cuso(dot)ch before registering!
|Deadline for registration||07.04.2019|