View Kamer

Inequality Analysis Using Stata: Disaggregated Data From surveys (WHO)

Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

For many countries, household health surveys are the main source of information for health inequality monitoring because they include data on both health indicators and dimensions of inequality. Yet, there are several considerations, including sampling design complexities and data quality, that must be taken into consideration when analysing and reporting disaggregated survey data.

The aim of this course is to provide learners with a practical guide to the preparation of disaggregated data sourced from household surveys using the statistical software Stata. These data can then be used to monitor and analyse health inequalities using the WHO Health Equity Assessment Toolkit (HEAT Plus) software. The course offers an overview of the main considerations for the analysis of complex survey data and introduces learners to a set of Stata commands for disaggregated data preparation. The use of Stata code is demonstrated through examples using a sample dataset. The target audience is monitoring and evaluation officers, data analysts and other technical officers with an interest in data analysis. The course may also be of interest to students and researchers.

Course duration: Approximately 2 hours.

Certificates: A Record of Achievement will be available to participants who score at least 80% of the total points available in the final assessment. Participants who receive a Record of Achievement can also download an Open Badge for this course. Click here to learn how.

Show More

What Will You Learn?

  • The main defining characteristics of household survey data and their implications for monitoring health inequalities.
  • How to identify health variables and inequality dimensions available in household surveys.
  • How to construct key coverage indicators, accounting for issues such as missing values.
  • How to produce estimates of health indicators disaggregated by a variety of inequality dimensions.
  • How to prepare disaggregated data for analysis using the WHO Health Equity Assessment Toolkit (HEAT Plus).
  • How to identify and use a range of Stata commands to prepare and manage disaggregated datasets.

Course Content

Module 0: Career Development

  • Career Assessment
    00:00

Module 1: Intro to Course

Module 2: Course Assessment

Module 3: Certification and Ranking

Student Ratings & Reviews

No Review Yet
No Review Yet