Advanced: Longitudinal Data Analysis - Mixed and Latent Variable Growth Curve Models
Adelaide , Australia
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Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Fully Online
Duration
Not Available
Details
Program Details
Degree
Courses
Major
Data Analysis | Applied Statistics | Statistics
Area of study
Information and Communication Technologies | Mathematics and Statistics
Education type
Fully Online
Course Language
English
About Program
Program Overview
Advanced: Longitudinal Data Analysis - Mixed and Latent Variable Growth Curve Models
Course Description
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. The course is aimed to be practically oriented with extensive use of the IBM SPSS and Stata statistical packages.
Type of Course
Web conference
Presenters
Pawel Skuza
Library
Target Audience
Staff and Research Higher Degree Students
Course Objectives
- Fitting Longitudinal Multilevel Models
- Introduction to Latent Growth Models (LGM)
- Assumptions related to the statistical techniques listed above
Prerequisites / Assumed Knowledge
Preferably, participants should attend Longitudinal Data Analysis Repeated Measures ANOVA, Advanced: Linear Mixed Models, and Advanced: Structural Equation Modelling using AMOS (or have an understanding of concepts/skills covered in the listed above courses) before enrolling in this workshop.
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