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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

Presenter

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

Contacts

person icon CSRM

About this Seminar

Background:

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.

Objectives:

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.

Content:

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