Principal speaker
Daniel Phipps
Other speakers
Assoc Prof Sama Low-Choy
This workshop follows on from "Latent Constructs in SEM". In this workshop we use a pathway analysis, implemented in R, to relate several variables as well as constructs created via CFA. This includes discussion of what these pathways mean, how they are interpreted, and how to estimate mediation and total effects. At the conclusion of the workshop we will discuss how one might apply SEM to their own research. This workshop will consist of 4 sessions: 1) Creating a simple pathways analysis in R; 2) Calculating Total and Indirect Effects in R; 3) An Introduction to Interpreting Pathway analysis in SEM; and, 4) Discussing SEM and how it applies to your research
Recommended Prerequisites:
Some knowledge of SEM. Absolute beginners should attend the first workshop to clarify whether SEM is relevant to them, and help judge whether the workshops will be useful for them.
As each workshop builds on previous ones, it is not recommended that you skip workshops or attend out of order without first notifying the teaching team.
Familiarity with concepts of probability (e.g. in a histogram) as well as regression and inferential statistics (e.g. interpreting p values, confidence or credible intervals of effects).
Some basic knowledge of R is strongly recommended, e.g. Induction in R and Excellence in Graphics in R (RED), R programming (Software Carpentry) or free R courses by Data Camp.
Mathematical knowledge assumed is addition, multiplication, and interpretation of a scatter plot. It could be helpful to understand the equation for a straight line.
Participants will be required to bring a laptop with R installed to Sessions 2-5.
Event categories
RSVP
RSVP by email RED@griffith.edu.au , or by phone 0755529107 , or via http://events.griffith.edu.au/d/fnql6r/4W