Principal speaker
Daniel Phipps
Other speakers
Assoc Prof Sama Low-Choy
In this workshop we discuss how latent constructs in SEM are used to create an indirect measurement of a concept or theme via multiple items. We show how validity of constructs can be evaluated by confirmatory factor analysis (CFA). We will also discuss how CFA differs from alternative methods of forming a construct such as a simple average of items or an exploratory factor analysis (EFA). To illustrate these ideas we also run and interpret a CFA in R. This workshop will consist of 3 sessions: 1) A basic refresher in setting up an R workspace; 2) The Theory Behind Latent Variables for representing constructs; 3) Running a CFA in R, and Interpreting
Recommended Prerequisites:
1. 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.
2. 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.
3. 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).
4. 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.
5. Mathematical knowledge assumed is addition, multiplication, and interpretation of a scatter plot. It could be helpful to understand the equation for a straight line.
6. Participants will be required to bring a laptop with R installed to Sessions 2-5.
Event categories
RSVP
RSVP on or before Thursday 9 April 2020 , by email RED@griffith.edu.au , or by phone 0755529107 , or via http://events.griffith.edu.au/d/mnql64/4W