This work is made freely available under open access. AUTHOR: TITLE: YEAR: OpenAIR citation: This work was submitted to- and approved by Robert Gordon University in partial fulfilment of the following degree: _______________________________________________________________________________________________ OpenAIR takedown statement: Section 6 of the “Repository policy for OpenAIR @ RGU” (available from http://www.rgu.ac.uk/staff-and-current- students/library/library-policies/repository-policies) provides guidance on the criteria under which RGU will consider withdrawing material from OpenAIR. If you believe that this item is subject to any of these criteria, or for any other reason should not be held on OpenAIR, then please contact
[email protected] with the details of the item and the nature of your complaint. This thesis is distributed under a CC ____________ license. ____________________________________________________ CAWIML: A Computer Assisted Web Interviewing Mark-up Language Jose Miguel Lloret Perez A thesis submitted in partial fulfilment of the requirements of the Robert Gordon University for the degree of Master of Research This research programme was carried out in collaboration with Pexel Research Services October 2016 Abstract Computer-Assisted Web Interviewing (CAWI) is the new mode of conducting surveys through web browsers. This on-line solution extends the traditional paper questionnaire with functionality to inform the order of questions, the logic to guide question relevance and inconsistency checks to validate responses. Large scale international surveys are typically conducted by research agencies in multiple countries using CAWI systems. However, these demand for non-proprietary and platform independent questionnaire definitions that work throughout multiple survey systems. In this thesis, we conduct a comparative analysis at two levels: one for the different Extensible Markup Language (XML) authoring solutions that capture questionnaire features; and another to explore the architecture styles for the most popular CAWI solutions.