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The Australian National University

SRC SSC/AMSRS; Seminar Improving inferences from poor quality samples

Date and time

Wed, 16th Aug 2017 - 2:00pm - 3:30pm

Location or Venue

The Street Theatre 15 Childers Street Canberra, ACT 2601


Dr Dina Neiger (Chief Statistician), Dr Paul Lavrakas (Senior Methodological Adviser) and Darren Penny (Founder and CEO)


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About this Seminar


Simple random sampling has traditional been the mainstay of market and social research surveys. Obtaining a simple random sample has become even more elusive in an on-line world where community panels and convenience sampling prevail.

Moreover, there continues to be increasing difficulty in accessing sampling frames for the population of interest as well as a continuing decline in response rates. Nonetheless, survey research has proven to be resilient and adaptable in the face of these challenges.


This Seminar will adopt a solutions-based approach, illustrated by case studies, which show how inferences can be improved from surveys administered to biased, low response rate and non-probability samples.

In so doing, it will address how to improve the accuracy of the survey estimates we generate from poorer quality and non-probability samples.


The new reality – low response rate probability surveys
Advances in survey execution and weighting techniques to adjust for non-coverage error and reduce non-response bias in low response rate probability-based surveys.
Advances in techniques to improve estimates from non-probability samples illustrated by case studies in the areas of sample blending, calibration and weighting

Register here

Updated: 14 August 2017/ Responsible Officer:  Director, RSSS / Page Contact:  Web Publisher