Abstract

Technological development has allowed researchers to apply numerous item formats in web-based surveys. A growing body of research suggests that the use of formats for web and paper other than multiple choice, such as ranking, sorting, questions with pictures e.g., may offer relevant alternatives that can strengthen data quality. These formats are referred to as Innovative Item Formats (IIF). Existing literature in the field is not able to present a systematic overview and functional typology of IIFs and their impact on data quality. Therefore, a review of the research is needed for each IIF. 
 This review is designed with the purpose of covering which typers of IIF that exist and what type of evidence there is about data quality on these IIFs. Based on a scoping review, this article presents the existing research literature on specific IIFs. A total of 62 research articles with data from 89,365 participants were identified. A more extensive typification of IIFs than previously used, one that includes a total of 23 IIFs and 13 subcategories, is suggested. Researchers designing questionnaires can use this knowledge to obtain higher-quality data.

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