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Please use the following Persistent Identifier (PID) to cite this document:
https://doi.org/10.18148/srm/2019.v1i1.7379

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Respondent burden in a Mobile App: evidence from a shopping receipt scanning study

[journal article]

Read, Brendan

Abstract

This study considers the burden placed on participants, subjectively and objectively, when asked to use a mobile app to scan shopping receipts. Using data from both the Understanding Society Spending Study, and the ninth wave of the Understanding Society Innovation Panel allow measures of burden and... view more

This study considers the burden placed on participants, subjectively and objectively, when asked to use a mobile app to scan shopping receipts. Using data from both the Understanding Society Spending Study, and the ninth wave of the Understanding Society Innovation Panel allow measures of burden and related characteristics to be identified. Subjective and objective burden were found to be seemingly unrelated to one another. There is evidence of older respondents facing greater objective burden, however there was some evidence that this did not correspond to an increase in the levels of subjective burden reported. Reported willingness to participate in a task of a similar nature proved to be indicative of both objective and subjective burden.... view less

Keywords
private household; expenditures; consumption; measurement; panel; data capture; new technology; survey research

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
Subjective; Objective; Cumulative; Fatigue; Household Panel Survey

Document language
English

Publication Year
2019

Page/Pages
p. 45-71

Journal
Survey Research Methods, 13 (2019) 1

ISSN
1864-3361

Status
Published Version; peer reviewed

Licence
Deposit Licence - No Redistribution, No Modifications


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GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.