Students
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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