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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
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ODL-DSBA Multilevel Data Analysis
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ODL-DSBA Multilevel Data Analysis
General
Course Learning Outcome
Course Learning Outcome
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Last modified: Sunday, 14 May 2023, 1:58 PM
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Module Synopsis
Course Outline
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
Course Outline ►