There is no consensus among assessment researchers about many of the central problems of response process data, including what is it and what is it comprised of. The Standards for Educational and Psychological Testing ( American Educational Research Association et al., 2014 ) locate process data within their five sources of validity evidence. However, we rarely see a conceptualization of response processes; rather, the focus is on the techniques and methods of assembling response process indices or statistical models. The method often overrides clear definitions, and, as a field, we may therefore conflate method and methodology – much like we have conflated validity and validation ( Zumbo, 2007 ). In this paper, we aim to clear the conceptual ground to explore the scope of a holistic framework for the validation of process and product. We review prominent conceptualizations of response processes and their sources and explore some fundamental questions: Should we make a theoretical and practical distinction between response processes and response data? To what extent do the uses of process data reflect the principles of deliberate, educational, and psychological measurement? To answer these questions, we consider the case of item response times and the potential for variation associated with disability and neurodiversity.
Digital-first high stakes assessments invite us to rethink the standards, user experience, and vocabulary of assessment validity. We explore the disruptive potential of digital-first high stakes assessments to set higher standards in test performance and validity. In this paper we describe the new lexicon that digital-first assessments have introduced into high stakes digital assessments such as personalisation, user experience, and accessibility. The features of digital high stakes assessments have the potential to reduce sources of construct-irrelevant variation and improve test validity. In conclusion we argue that the distinctive features of digital high stakes assessment challenge our understanding of good assessment design setting new standards for assessment performance and validity.
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