Ristow T, Hernandez I. VOIS: A framework for recording Voice Over Internet Surveys.
Behav Res Methods 2024;
56:447-467. [PMID:
36697999 PMCID:
PMC9876413 DOI:
10.3758/s13428-022-02045-6]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/01/2022] [Indexed: 01/26/2023]
Abstract
Verbal data provide researchers insight beyond that offered by text-based responses, including tone, reasoning elaboration, and experienced difficulty, among other processes. Additionally, it offers a less cognitively taxing way for participants to provide long responses. Verbal data collection methods are found in a variety of fields, mostly conducted in lab-based settings or requiring specialized hardware. Restricting verbal protocols to lab-based settings can have several drawbacks, including smaller sample sizes, biased populations, reduced adoption, and incompatibility with potential social distancing requirements. No method currently exists for researchers to collect verbal data within major online survey collection platforms. The current paper offers a user-friendly approach for collecting verbal data online, where a researcher can copy and paste JavaScript code into the desired survey platform. By providing a framework that does not require any advanced programming ability, researchers can collect verbal data in a scalable way using familiar modalities.
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