Anticipating new weights in the CLSA: Unpacking sampling weights and their use
Channel: Canadian Longitudinal Study on Aging (CLSA/ÉLCV)
Date: 2020-10-28

It is standard practice in surveys to use sampling weights, however, when surveys involve complex sampling, individuals in selected populations might not have equal probabilities of participation. Participants in the Canadian Longitudinal Study on Aging (CLSA) are assigned sample weights based on their inclusion probability. Essentially, the inflation weight provided with CLSA data tells a researcher how many people the participant represents in the target population. The use of weights can be complex, and the method of calculation might seem opaque to researchers. This webinar presents an overview of weight calculations in anticipation of new weights in the CLSA and aim to unpack the complexities of sampling weights and how they are implemented in the CLSA Tracking and Comprehensive cohorts.

Dr. Lauren Griffith is an associate scientific director and Hamilton site lead of the Canadian Longitudinal Study on Aging. She is an associate professor in the Department of Health Research Methods, Evidence, and Impact at McMaster University. Her research interests include physical functioning, injury and aging as well as the harmonization of longitudinal data.

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