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 ...

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 ...

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 ...

Abstract: Understanding categorical data with vague qualitative values by forming clusters is crucial in many data-driven AI fields. Compared with numerical data with its quantitative values embedded ...

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 ...

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 ...

Understanding your market is no longer a luxury—it’s a necessity. But when it comes to research, companies often face a fundamental decision: Should they lean on quantitative methods that offer ...

Artificial Intelligence News, Journalism Ethics, Media Regulation, News Automation, Grounded Theory Analysis Share and Cite: ...

It is vital for organisations to gather and leverage employee data which they can use to navigate workplace complexities. But ...