When: Wednesday, May 29, 2024, 2:00 PM - 3:30 PMWhere: Online (Zoom)
Book now
This event, chaired by Laurie Reedman, will teach you how to design effective surveys that evaluate the impact of your work and how to analyse and interpret the survey responses.
This online, public training event is open to everyone - internal or external to Queen Mary.
Evaluating policy engagement and impact is notoriously complex - policy impact can be diffuse and hard to track. Surveys are one tool for collecting quantitative and qualitative data on the impact and efficacy of a programme or piece of research, but many people find these just plain painful.
The aim of this event is to familiarise the audience with how to design effective surveys that evaluate the impact of their work while placing minimum response burden on respondents, as well as how to analyse and interpret the survey responses.
Topics will include: determining survey objectives and deliverables; choosing the right platform and analysis tools; crafting questions; conducting analysis; and visualising and telling a story with your data. The training will feature lecture content, worked examples in Excel, group discussion and Q&A. This session is ideal for anyone who has to do monitoring, evaluation or KPI (key performance indicator) tracking as part of their work and is specifically designed for people who may not be familiar with statistical processes or platforms.
Participants will receive an electric copy of a ‘Surveys A-Z Reference Manual’ which has been developed by the trainer.
About the trainer:
Laurie Reedman earned an honours Bachelor of Mathematics, majoring in statistics at the University of Waterloo, Canada. During her 30-year career at Statistics Canada as a Methodologist, Laurie served as the Chief of the Quality Secretariat for over a decade. Under Laurie’s leadership the Quality Secretariat undertook numerous initiatives aimed at improving the quality of statistical products and the processes which produce them. Laurie was enthusiastically involved internationally, regularly leading outreach and capacity building activities at the national statistics offices of several Caribbean, Latin American, and African countries. As Assistant Director of the Methodology Innovation Centre, Laurie led an interdisciplinary team to create a Framework and Guidelines for responsible machine learning processes at Statistics Canada.
If you have any questions, please contact Audrey Tan.