Weighting and Imputation for Survey Non-response
Organised by |
Social Research Association |
Presenter | Dr Tarek Al Baghal |
Date | 13/04/2021 - 14/04/2021 |
Venue | Online using Zoom |
Contact | Lindsay Adams |
Description |
This course runs over two consecutive afternoons and uses Zoom software *
Unit non-response is best handled with weighting, to ensure underrepresented populations are reflected in the final data set. This course considers how these weights work along with other survey weights (e.g. design and post-stratification). Item non-response is best handled with imputation, filling in missing responses with usable data. The course starts by looking at the pros and cons of older simplistic methods of imputation, then more sophisticated methods. For both of these topics, the course presents the debates in the literature, and includes real life examples. The course does not focus on specific software but rather on the decisions to be made in choosing an implementing and appropriate method. Breakout sessions will help to put learning into practice. By the end of the course participants should:
Both participants who want to use imputation and weighting strategies on their data but also participants who want some knowledge of these topics for critiquing other’s work. Participants need knowledge and experience of survey statistics and sampling. The SRA course on “Sampling and an Introduction to Weighting” would also be a good prerequisite.
Dr. Tarek Al Baghal is a Research Fellow at the Institute for Social and Economic Research, University of Essex, and has a PhD in Survey Research and Methodology from the University of Nebraska. He is the lead questionnaire designer for the Understanding Society: the UK Household Longitudinal Study. He has taught a number of methods courses, including Survey Sampling and Questionnaire Design. |
Level | Advanced (specialised prior knowledge) |
Cost | £220.00 - SRA members pay £165 |
Website and registration | |
Region | International |
Keywords | Quantitative Data Handling and Data Analysis, Imputation , Survey Non-Response |
Related publications and presentations | |