Students are exposed to a variety of statistical techniques designed to cope with the kinds of complex data sets that can result from large-scale projects both from the laboratory and the field. In addition some contemporary issues surrounding best practice in the use of data may be covered. All or some analytical techniques or issues (depending on demand and availability of staff in any one year) from the following list are covered: factor analysis; advanced multiple regression; structural equation modelling; parameter estimation; meta-analysis and conceptual issues in significance testing. -- Course Website
Instructor: Associate Professor Shayne Loft
Prerequisites: enrolment in Psychology Honours or Graduate Diploma in Science (50300)
