Back to Search Start Over

A new experiment on the use of images to answer web survey questions.

Authors :
Bosch, Oriol J.
Revilla, Melanie
Qureshi, Danish Daniel
Höhne, Jan Karem
Source :
Journal of the Royal Statistical Society: Series A (Statistics in Society); Jul2022, Vol. 185 Issue 3, p955-980, 26p, 1 Black and White Photograph, 7 Charts, 1 Graph
Publication Year :
2022

Abstract

Images might provide richer and more objective information than text answers to open‐ended survey questions. Little is known, nonetheless, about the consequences for data quality of asking participants to answer open‐ended questions with images. Therefore, this paper addresses three research questions: (1) What is the effect of answering web survey questions with images instead of text on breakoff, noncompliance with the task, completion time and question evaluation? (2) What is the effect of including a motivational message on these four aspects? (3) Does the impact of asking to answer with images instead of text vary across device types? To answer these questions, we implemented a 2 × 3 between‐subject web survey experiment (N = 3043) in Germany. Half of the sample was required to answer using PCs and the other half with smartphones. Within each device group, respondents were randomly assigned to (1) a control group answering open‐ended questions with text; (2) a treatment group answering open‐ended questions with images; and (3) another treatment group answering open‐ended questions with images but prompted with a motivational message. Results show that asking participants to answer with images significantly increases participants' likelihood of noncompliance as well as their completion times, while worsening their overall survey experience. Including motivational messages, moreover, moderately reduces the likelihood of noncompliance. Finally, the likelihood of noncompliance is similar across devices. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09641998
Volume :
185
Issue :
3
Database :
Complementary Index
Journal :
Journal of the Royal Statistical Society: Series A (Statistics in Society)
Publication Type :
Academic Journal
Accession number :
158201702
Full Text :
https://doi.org/10.1111/rssa.12856