Combining quantitative and qualitative data analysis can give students of science, technology, engineering and mathematics, also known as STEM, a potential advantage. "Complex problems often require a ...

Qualitative data is the “gut check” for the “instincts” you may follow while evaluating datasets. Data cannot always be simplified into a dashboard; sometimes it requires deep analysis.

In qualitative social science ... It’s not only the positionality of the researcher that’s missing when we use open-access AI tools for data analysis. Institutions require safeguards for the ...

To increase the odds of collecting even stronger insights, consider involving advanced qualitative data analysis tools such as those from atlasti.com or other experts you trust. These tools come ...

This study focuses on Sina Weibo as the research platform, constructing a corpus of Traditional Chinese Medicine (TCM) marketing content spanning 2019-2024. By integrating four analytical ...

Detailed, human-like accuracy DECOTA is grounded in a well-established qualitative analysis technique known as thematic analysis, which sees researchers manually group free-text data into common ...

we discuss some problems inherent in qualitative data collection and analysis and propose ways in which such data should and should not be used. Focussing in particular on semi-structured in-depth ...

using a six-step approach to thematic analysis outlined by Virginia Braun and Victoria Clark. 24 The coders began by reading through the transcripts to familiarize themselves with the data.