Comparing Traditional and Crowdsourcing Methods for Pretesting Survey Questions
Author(s) -
Jennifer Edgar,
Joe Murphy,
Michael Keating
Publication year - 2016
Publication title -
sage open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.357
H-Index - 32
ISSN - 2158-2440
DOI - 10.1177/2158244016671770
Subject(s) - crowdsourcing , interview , cognitive interview , cognition , computer science , data collection , task (project management) , applied psychology , quality (philosophy) , data science , collective intelligence , psychology , exploratory research , knowledge management , world wide web , engineering , political science , epistemology , anthropology , philosophy , law , sociology , systems engineering , statistics , neuroscience , mathematics
Cognitive interviewing is a common method used to evaluate survey questions. This study compares traditional cognitive interviewing methods with crowdsourcing, or “tapping into the collective intelligence of the public to complete a task.” Crowdsourcing may provide researchers with access to a diverse pool of potential participants in a very timely and cost-efficient way. Exploratory work found that crowdsourcing participants, with self-administered data collection, may be a viable alternative, or addition, to traditional pretesting methods. Using three crowdsourcing designs (TryMyUI, Amazon Mechanical Turk, and Facebook), we compared the participant characteristics, costs, and quantity and quality of data with traditional laboratory-based cognitive interviews. Results suggest that crowdsourcing and self-administered protocols may be a viable way to collect survey pretesting information, as participants were able to complete the tasks and provide useful information; however, complex tasks may require the skills of an interviewer to administer unscripted probes
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