Improving User Engagement to Reduce Dropout Rates in Long Web Surveys

Exploring the Effectiveness of Achievement Primes Amongst Intrinsically and Extrinsically Motivated Respondents

Master Thesis (2023)
Author(s)

T.A.R. van Tussenbroek (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

G.M. Allen – Coach (TU Delft - Web Information Systems)

Ujwal Gadiraju – Mentor (TU Delft - Web Information Systems)

Frank Broz – Graduation committee member (TU Delft - Interactive Intelligence)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2023 Thomas van Tussenbroek
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Thomas van Tussenbroek
Graduation Date
27-07-2023
Awarding Institution
Delft University of Technology
Programme
Computer Science
Related content

Data and code produced for the project

https://osf.io/pxfba/?view_only=77cda642e7a84a9cba63b1714c326fdb
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Web surveys have increasingly been used to collect data from respondents over the years. They offer several advantages compared to other methods of obtaining data. Researchers benefit from a broad demographic representation to make generalized conclusions, and satisfaction surveys allow employees to explain shortcomings or improvements anonymously. Both examples demand comprehensive information, thereby requiring a lengthy survey. However, dropout increases with the length of a survey, which is a big problem on web surveys as it decreases the statistical significance of the results. Proposed solutions, such as reducing the number of questions or rewarding respondents with an incentive, may not always be feasible due to the preciseness of information required or limited financial capabilities.

Achievement primes have been shown to reduce dropout on short surveys targeting extrinsically motivated respondents without additional costs or the need to reduce survey length. As repeated exposure to primes reinforces the stimuli, long surveys may also benefit from achievement primes. In this study, respondents are exposed to a questionnaire of more than 15 minutes on health whilst working behind a computer containing either no prime, passive achievement primes, or active achievement primes. Besides extrinsically motivated respondents, recruited via the crowdworking platform Prolific, intrinsically motivated respondents are also targeted in this study, recruited via snowball sampling.

Through a 2 times 3 factorial design, we discovered no statistical difference in dropout, perceived workload, and user engagement across the three questionnaire variants when evaluating intrinsically (N=88) and extrinsically motivated respondents (N=140) individually. By comparing intrinsically with extrinsically motivated respondents, we discovered extrinsically motivated respondents were more engaged and dropped out less.

Files

Thesis.pdf
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