Qualitative data is a type of information that is not numerical, but rather descriptive, interpretive, or subjective. It can include words, images, emotions, stories, or behaviors. Qualitative ...

As it involves data collection from multiple sources, a case study is particularly useful in evaluating complex situations and exploring qualitative impact. Literature review and document review ...

“Qualitative” health research is best characterised not by its qualitative data but by several assumptions about what social reality is like (ontology) and how we can best learn the truth about this ...

Data Collection and Quality Familiarise yourself with the context of your qualitative data. Consider how the data was collected, the participants' characteristics, and any biases or limitations in the ...

Obsidian Plugin for social-scientific Qualitative Data Analysis (QDA). An open alternative to MAXQDA and atlas.ti, using Markdown to store data and research codes.

The most significant drawback to qualitative textual analysis is practical: the sheer scale, time and cognitive effort required to perform tasks like thematic coding. While no LLM can be expected to ...

Researchers tend to analyse these datasets one by one and then consider their findings separately within the discussion section of the final report, rarely integrating quantitative and qualitative ...

To improve this situation, we propose the need for more robust quality appraisal tools that explicitly encompass both the core design aspects of all qualitative research (sampling/data ...

Discrete attribute data is a little different. This type of data will assign a numeric value to some qualitative ...

CP contacted and interviewed the participants. CP, JRE and MK analysed the qualitative data. NA, MK and SY analysed the quantitative data. All authors contributed to data interpretation, and drafted, ...