Evolutions in testing research: What the future is likely to bring.

Talking among the two of us as an outgoing and incoming editor about what is called a “transition editorial” – a way to mark the passing of the torch from one editor to another – we have realized that we both tend to look in these moments to past and future. The recent past, to sum up, all the good that was made and all the ways in which European Journal of Psychological Assessment (EJPA) has contributed to the advancement of theory and practice in assessment, and the rather immediate future, in order to prepare for and anticipate all the exciting evolutions that are already visible and will likely influence our domain over the next editorial term and beyond. In a 2017 editorial in EJPA (Greiff, 2017) an entire section was dedicated to the dichotomy between tradition and innovation in assessment. Two points were implicit to that editorial: first, the fact that innovation can be applied to many areas (e.g., new domains to be covered, new constructs to be measured, new synergies with technology, new methodological approaches, etc.) and second, the fact that innovation comes in many flavors – most notably “new” (e.g., machine learning is new in psychological assessment) versus “understudied” (e.g., automatic generation of assessment reports is not something new, but is certainly understudied). Normally, we would only look to the future in some kind of programmatic approach: what we would both like to see more of in the pages of EJPA during the next few years an...
Source: European Journal of Psychological Assessment - Category: Psychiatry & Psychology Source Type: research