Data are an essential foundation of social science, and web surveys are a significant data collection method. A meta-analysis showed that web surveys tended to have about 11% lower response rates than other types of survey methods, which was recently confirmed by another study. With the support of a research company, this study identified subtypes of monitors who experienced refusal to cooperate with the web survey. This study conducted web surveys in September 2022 and November 2023. All participants were required to be over 18 years old, and their mean age was 51.29 years (SD = 14.02 years; range = 19–89 years). The research company distributed the web surveys across Japan. Data for 600 monitors were collected, and the data for 413 monitors who experienced refusal to cooperate with the web survey were analyzed. JASP (v. 0.16.3) and R (v. 4.2.2) software were used for the analyses. The top three reasons for refusing to complete the web survey were: “have no time” (n = 179), “the questionnaire is too large” (n = 171), and “difficult to answer” (n = 120). While the nonparticipatory behavior was consistent, a latent class analysis was conducted, and three latent classes were identified based on distinct reasons for refusal. This insight contributes to our understanding of the dynamics of web survey participation.

Authors:
Tai Kurosawa, Ibaraki Christian University, Japan

About the Presenter(s)
Tai Kurosawa, Ph.D., is an associate professor at Ibaraki Christian University. His main research area is family psychology, especially for the dynamics of intimate relationships.

Connect on ResearchGate
https://www.researchgate.net/profile/Tai-Kurosawa

Additional website of interest
https://www.tai9630.com

See this presentation on the full schedule – Thursday Schedule

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