Quality metrics for ongoing sample data collections

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Dr Margo Barr

Sax Institute

The conceptual framework describing statistical error properties of sample survey statistics is total survey error. This covers both sampling error and non-sampling error. The two dimensions, representation and measurement from a total survey error framework, concentrated on the accuracy of the information collected, i.e. the closeness between the estimated and the true (unknown) values. It did not include quality issues around the use of the statistics themselves. This talk examines how total survey error, with the addition of a third dimension to account for the use of the statistics, the impact dimension, assists in interpreting the quality of ongoing sample data collection. It includes the development of a quality metric that incorporates the three quality dimensions and its application to an ongoing sample data collections in Australia. The talk then explores if this approach assists in determining the quality of ongoing sample data collections and its possible use into the future.

Biography of Margo Barr

Dr Barr is the Study Director with the 45 and Up Study at the Sax Institute. She is an epidemiologist with expertise in public health including behaviour risk factor and communicable disease surveillance, survey and cohort methodology and management. She has worked in the state and federal government sector for 30 years, including managing the NSW Health Survey Program for the NSW Ministry of Health for the over 13 years. She has a Bachelor of Science, Masters in Public Health in Epidemiology and Statistics, PhD in Mathematics and Applied Statistics and is just completing her Graduate Certificate in Tertiary Teaching and Learning Practices. She is also an Honorary Principal Fellow with University of Wollongong.

6:00pm – 6:30pm: Refreshments
6:30pm – 7:30pm: Lecture
7:45pm onwards: Dinner (at a nearby restaurant)

When: 20/06/2017
Time: 6:00 pm - 7:30 pm
Cost: Free
Location: UTS CB07.03.010BG,
CB07 - Building 7 Faculty of Science & Graduate School of Health,
University of Technology Sydney,
NSW
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