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 ...

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

While qualitative data gives detailed information, it can be time consuming and costly to gather and analyse. is usually numerical data is gathered through the use of closed questions, such as ...

Questionnaires - this is when people are asked what they think. Questionnaires are good at finding out opinions, but they may be less accurate when looking for facts. Field sketches and ...

Computational text analysis does not replace close reading or subjective theorizing, but it can provide a complementary set of tools that we believe will be appealing for qualitative demographers.

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 ...

‘Qualitative’ refers to data that is not numerical. Examples: written or spoken word, videos, audio recordings and songs, poems, stories, drama, pictures, photographs, and many other art forms. ‘In ...