Introduction to Longitudinal Analysis

Course Content:
This course is designed to provide a brief and highly accessible introduction to quantitative longitudinal data analysis using Stata software, for social researchers and post-graduate students. 

Course Objectives:

  • To introduce participants to Stata software
  • To introduce participants to statistical modelling in Stata
  • To introduce participants to panel and duration models in Stata

The topics covered in this course include:

  • Introduction to Longitudinal Data Analysis
    • Micro Social Science Datasets
    • Data Collection Modes
    • Longitudinal Data Structures
    • Time to Event Analysis
    • The Benefits of Longitudinal Research
    • Panel Data Analysis
    • Event History Analysis
  • Examples of Longitudinal Datasets
    • Repeated Cross-Sectional Surveys
    • Longitudinal Social Science Datasets
    • Birth Cohort Studies
    • 1970 Cohort Study
    • Millennium Cohort Study
    • Panel Datasets
    • Understanding Society: The UK Household Longitudinal Study
    • Datasets with a Panel Element
    • Datasets with Administrative Data
    • British Household Panel Survey
  • Approaches to Longitudinal Data Analysis
    • Repeated Cross-Sectional Surveys
    • Cohort Analysis
    • Four Approaches to Longitudinal Data Analysis: An Alternative Organisation
  • The Research Value of Longitudinal Data
    • Data Quality
    • Methodological Issues
    • Sample Attrition
    • Panel Conditioning
    • The Benefits of Longitudinal Data
  • Duration Analysis
    • The Concept of Duration Analysis
    • Study Designs
    • Censoring
    • Treatment of Tied Durations
    • Other Event History Models
  • Panel Data Analysis
    • Tabular Analysis
    • Change Score
    • Panel Data
    • Panel Data Formats
    • Pooled Analysis of Panel Data
    • Full-Blown Panel Methods
    • Other Standard Panel Models
    • Dynamic Panel Models

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