IBM SPSS - Advanced: Longitudinal Data Analysis - Mixed and Latent Variable Growth Curve Models

Course description

THIS COURSE WILL BE DELIVERED IN THE COMPUTER LAB AS WELL AS VIA WEB CONFERENCE. WHILE ENROLLING PLEASE SELECT “REMOTE PARTICIPANT” FOR ONLINE ONLY DELIVERY. 

This workshop is an extension of the first part which focuses on repeated measures ANOVA.  It introduces longitudinal analyses with linear mixed models and latent variable growth curve models. The advantages of those more complex approaches are addressed. Although this course is aimed to be practically orientated with extensive use of the statistical software, brief theoretical introductions to these data analysis approaches as well as assumptions involved are addressed.

! IMPORTANT
This course is under great demand. If your circumstances change and you cannot attend, please cancel your enrolment as quickly as possible.

The details of the connection to the Web Conference will be emailed to enrolled participants a day before the course and again an hour before the event.

Type of course

Web conference

Presenters

Who should attend

Staff and Research Higher Degree Students

What you will learn

• Fitting Longitudinal Multilevel Models with SPSS Linear Mixed Models procedure
• Introduction to Latent Growth Models (LGM)
• Practical skills in running LGM models by utilising AMOS software.
• Assumptions related to the statistical techniques listed above 
• Use of syntax

Prerequisites / assumed knowledge

Preferably participants should attend Longitudinal Data Analysis – Repeated Measures ANOVA, IBM SPSS - Advanced: Linear Mixed Models and IBM SPSS - Advanced: Structural Equation Modelling using AMOS (or have an understanding of concepts/skills covered in those two introductory courses) before enrolling in this workshop.