CRQ compels executives to confront the inherent uncertainty of cyber risk that qualitative methods tend to conceal. While a quantitative risk model that illustrates a range of possible losses might ...

In our opinion, the data reminds investors and practitioners that AI hype does not equal budget immunity. While earlier data documented robust intent to invest, the C-suite view presented above ...

Researchers from Universidad Carlos III de Madrid (UC3M) and Universidad de Cádiz (UCA) have carried out a study aimed at ...

Thematic and framework synthesis facilitate efficient synthesis of large numbers of studies or plentiful data. Finally, judicious use of Grading of Recommendations Assessment, Development and ...

By elevating patient perspectives from an afterthought to a core part of the process, payers can create a system that aligns ...

The Coaltion for Global Hepatitis Elimination's National Hepatitis Elimination Profiles assess the status of national data, ...

The overhaul will require more and better data gathering to fill gaps in knowledge, including indications of supply chain ...

The new guidance builds on previous years’ by increasing the focus on transparency and expanding, per statute, to include ...

We distinguish universal features of quality from those specific to methodology and offer a set of minimally prescriptive prompts to assist with the assessment of generic features of qualitative ...

Abstract: Fuzzy Set Qualitative Comparative Analysis (fsQCA) is a methodology for obtaining linguistic summarizations from data that are associated with cases. It was developed by the social scientist ...

Design Secondary qualitative data analysis of data sets from two semistructured interview studies ... A coding manual was created, including descriptions of the codes and example quotes, and DG ...

In the evolving landscape of data analytics, making informed decisions ... Understanding the difference between qualitative vs quantitative research is vital not just for academics or scientists, but ...