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The Effects of Mode on Answers in Probability-Based Mixed-Mode Online Panel Research: Evidence and Matching Methods for Controlling Self-Selection Effect in a Quasi-Experimental Design
Author/editor: Kocar, S, Biddle, N & Phillips, B
Year published: 2021
Online probability-based panels often apply two or more data collection modes to cover both online and offline populations. They do so with the aim of obtaining results that are more representative of the population of interest, in most cases the general population, than Web mode only. This study...
A new method of estimating the number of Indigenous business owner-managers
Author/editor: Shirodkar, S, Hunter, B & Foley, D
Year published: 2020
Accurate estimates of the size of the Indigenous business sector are valuable for policy makers, practitioners and academics. Such estimates provide one measure of Indigenous economic advancement. A difficulty in developing these estimates has been a lack of suitable data for calculating key...
Longitudinal Study of Indigenous Children (LSIC) technical report: education
Author/editor: Biddle, N, Edwards, B, Lovett, R, Radoll, P, Sollis, K & Thurber, K
Year published: 2020
This report evaluates the education measures in the Longitudinal Study of Indigenous Children (LSIC). Education measures in the LSIC were found to be internally valid and perform as expected. The LSIC is a robust dataset that, if used carefully, can improve our understanding of the development of...
Panel mixed-mode effects: does switching modes in probability-based online panels influence measurement error?
Author/editor: Biddle, N & Kocar, S
Year published: 2020
Online probability-based panels often apply two or more data collection modes to cover online and offline populations, and to collect data from onliners who do not respond online in time to contribute to a given wave. As a result, offline/online status can change during the life of the panel for...
Consent to data linkage in a child cohort study, Growing up in Australia: The Longitudinal Study of Australian Children
Author/editor: Bandara, D, Edwards, B, Mohal, J & Daraganova, G
Year published: 2019
In this paper, we provide new evidence on the factors associated with consent to data linkage in young people from a sample of 16–17-yearolds (born in 2004) participating in Growing Up in Australia: The Longitudinal Study of Australian Children. To our knowledge, this survey is the first time...
Longitudinal Study of Indigenous Children (LSIC) technical report: education
Author/editor: Biddle, N, Edwards, B, Lovett, R, Radoll, P, Sollis, K & Thurber, K.
Year published: 2019
Globally, Australia’s Longitudinal Study of Indigenous Children (LSIC) is the only longitudinal child cohort study on the developmental outcomes of Indigenous children. The study surveys Aboriginal and Torres Strait Islander Australian children aged either 6–18 months (B cohort) or 3.5–5 years (K...
Text messages and reminder calls in student and alumni web surveys
Author/editor: Compton, S & Phillips, B.
Year published: 2019
The impact of text messages (SMS) and reminder calls on response to web surveys was experimentally tested using a crossed design on two surveys in the Quality Indicators for Learning and Teaching suite of studies for the Australian Government Department of Education: the May 2018 Graduate Outcomes...
Measuring natural disasters through self-report: the case of a national child cohort study
Author/editor: Edwards, B, Gray, M & Borja, JB.
Year published: 2019
Children are considered to be disproportionately affected by natural disasters related to climate change. The impacts on the development of children of being exposed to multiple natural disasters are not well understood. This paper reports on the development and validation of a cumulative measure...
Building a probability-based online panel: Life in Australia
Author/editor: L Kaczmirek, L, Phillips, B, Pennay, DW, Lavrakas, PJ, and Neiger, D
Year published: 2019
Life in Australia™ was created to provide Australian researchers, policy makers, academics and businesses with access to a scientifically sampled cross-section of Australian resident adults at a lower cost than telephone surveys. Panellists were recruited using dual-frame landline and mobile random...
Introducing the longitudinal MADIP and its role in understanding income dynamics in Australia
Author/editor: N Biddle, R Breunig, F Markham and C Wokker
Year published: 2019
Understanding the determinants, dynamics and distribution of income within a country is an area of ongoing research and policy interest. There is a lot we do know about income dynamics in Australia. However, we have limited information on several key aspects, including detailed information on the...
