Skip to main content
Side panel
Course Material
Search
Close
Search
Toggle search input
You are currently using guest access (
Log in
)
ODL-DSBA Multilevel Data Analysis
General
Introduction and Module Overview
Introduction to Multilevel Data Analysis
Multilevel Theories, Multi-Stage Sampling and Multilevel Models
Statistical Treatment of Clustered Data - Part A
Statistical Treatment of Clustered Data - Part B
The Random Intercept Model - Part A
The Random Intercept Model - Part B
The Hierarchical Linear Model
Testing and Model Specification
Home
Calendar
ODL-DSBA Multilevel Data Analysis
Home
Courses
Miscellaneous
Practice Courses
ODL-DSBA Multilevel Data Analysis
General
Course Outline
Course Outline
tkk
Last modified: Sunday, 14 May 2023, 2:07 PM
◄ Course Learning Outcome
Jump to...
Jump to...
Announcements
MDA Module Overview
Module Synopsis
Course Learning Outcome
Assessment
Introduction and Module Overview
Introduction
Tutorial 1
Multilevel Theories, Multi-Stage Sampling and Multilevel Models
Tutorial 2
Statistical Treatment of Clustered Data - Part A
Use aggregation and disaggregation methods
Statistical Treatment of Clustered Data - Part B
Tutorial 3
Random Intercept Model Part A
Differences between multiple linear regrsssion and random intercept model
The Random Intercept Model - Part B
Tutorial 4
The Hierarchical Linear Model
Tutorial 5
Testing and Model Specification
Tutorial 6
Assessment ►