6-8 March 2017.
Course duration: 3 days (approximately 17 hours teaching, including introductory talks, lectures, worked examples and practical sessions using both Stata and Mplus software package. Approximately 40% of the course will be practical work).
Registration will begin at 9.30am on the first day, the course will finish by 4pm on the final day.
Dr Jon Heron (course organiser) and others.
This course provides an introduction to methods for analysing longitudinal/repeated continuous data, with a focus on methods for analysing individual trajectories over time. Multilevel modelling and structural equation modelling (SEM) approaches will be described and compared. Throughout the course there will be an emphasis on what kinds of research question different types of method can be used to explore and on the interpretation of results.
By the end of the course participants should be able to:
The course is intended for researchers who are, or will be, involved in analysing longitudinal data. Participants should be familiar with the algebra of standard regression models for continuous outcomes (to beyond the standard of the short course 'Introduction to Linear and Logistic Regression Models', or to the level implied by module 3 of the Centre for Multilevel Modelling's online multilevel modelling course.
Please note: This is an advanced-level course, which will introduce MLM and SEM models, plus practicals using two different software packages (Stata and Mplus), in three days. Please be aware that whilst we assume no previous experience of Mplus, this course may prove challenging for those who are not fairly fluent in Stata.
Please note: Practical sessions of this course will be held in a computer lab, so you will not need to bring a laptop. The course will use Stata and Mplus.
More information on course fees, fee waivers and reduced prices.
School of Social and Community Medicine
39 Whatley Road
Coffee, tea, fruit and biscuits will be available to all students. A light lunch is provided for all paying participants. Please let us know if you have any dietary requirements.
Information about accommodation.
For further information please email firstname.lastname@example.org