Longitudinal Data Analysis

Summary

Level of study: Career Based/Vocational

The aims of this micro-credential is to equip enrollees with the skills and knowledge to extend their survey data analysis experience beyond that which is taught in Data analysis and interpretation, with a focus on longitudinal data analysis.
Topics
Differencing
Fixed and random effects data analysis
Controlling for sample attrition in longitudinal data analysis
Learning outcomes
Upon successful completion, enrollees will have the knowledge and skills to:
Explain the key concepts of longitudinal data analysis
Outline the strengths and weaknesses of existing longitudinal datasets from an analysis perspective
Identify the appropriate analytical technique for longitudinal data analysis
Discuss some of the main assumptions underlying different techniques
Design or critique an analysis plan
Micro-credential stack information
This micro-credential may be undertaken as part of a stack by completing Using Longitudinal Studies to Inform Public Policy and Data Analysis and Interpretation.

Key Information
Visa Information
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