A new experiment on the use of images to answer web survey questions. (20th May 2022)

• Record Type: Journal Article
• Authors: Bosch, Oriol J.; Revilla, Melanie; Qureshi, Danish Daniel; Höhne, Jan Karem
• Is Part Of: Journal of the Royal Statistical Society. Volume 185:Number 3(2022)
• Page Start: 955
• Page End: 980
• Publication Date: 2022-05-20
• Subjects: breakoff -- images -- motivational messages -- noncompliance -- smartphone -- web survey; Social sciences -- Statistical methods -- Periodicals; Statistics -- Periodicals; 300.15195
• DOI: 10.1111/rssa.12856
• Languages: English
• ISSNs: 0964-1998

Abstract

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.