Understanding Society: minimising selection biases in data collection using mobile apps

Author:

Jäckle Annette1ORCID,Burton Jonathan1ORCID,Couper Mick P.2ORCID

Affiliation:

1. Institute for Social and Economic Research University of Essex

2. Institute for Social Research University of Michigan

Abstract

AbstractUnderstanding Society, the UK Household Longitudinal Study has a programme of research and development that underpins innovations in data collection methods. One of our current focuses is on using mobile applications to collect additional data that supplement data collected in annual interviews. To date, we have used mobile apps to collect data on consumer expenditure, well‐being, anthropometrics and cognition. In this paper, we review the potential barriers to data collection using mobile apps and experimental evidence collected with the Understanding Society Innovation Panel, on what can be done to reduce these barriers.

Publisher

Wiley

Subject

Economics and Econometrics,Finance,Accounting

Reference33 articles.

1. Does the feedback of blood results in observational studies influence response and consent? A randomised study of the Understanding Society Innovation Panel

2. Burton J. Couper M. P. &Jäckle A.(2023) The effects of position context and order on consent to data linkage in a survey.Understanding Society Working Paper 2023‐07 https://www.iser.essex.ac.uk/research/publications/working‐papers/understanding‐society/2023‐07.

3. The Use of Scanner Data for Economics Research

4. Effects of Incentives in Smartphone Data Collection

5. Sample Selection Bias as a Specification Error

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