Interpretation is central to the social scientist's process of analysis, regardless of whether that analysis relies on quantitative or qualitative data. This essay presents a "reconstructed logic" of ...

While Python is an all-purpose general programming language, its success has mostly been in the arena of data analysis (including by academics), thanks to its compact, abstracted libraries that ...

Elemental analysis methods are used to determine the elemental composition of a substance and the concentration of each element present. However, there are two different subsets: one for determining ...

Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API,  with Python via the BQL Object ...

Objective This study aims to evaluate the time point and magnitude of peak effectiveness of exercise and the effects of various exercise modalities for osteoarthritis (OA) symptoms and to identify ...

This is a preview. Log in through your library . Abstract Background:Qualitative comparative analysis (QCA) is a methodology created to address causal complexity in social sciences research by ...