Inductive content analysis: A guide for beginning qualitative researchers

Inductive content analysis (ICA), or qualitative content analysis, is a method of qualitative data analysis well-suited to use in health-related research, particularly in relatively small-scale, non-complex research done by health professionals undertaking research-focused degree courses. Using a study investigating practices and views around genetic testing in children as an example, we provide a clear step-by-step account of analysing text using ICA.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 For those new to qualitative research, the methodological literature on ICA can be difficult to navigate, as it employs a wide variety of terminology and gives a number of different descriptions of when and how to carry it out.In this article, we describe in plain language what ICA is, highlight how it differs from deductive content analysis and thematic analysis, and discuss the key aspects to consider when making decisions about employing ICA in qualitative research.
• 2 Using a study investigating practices and views around genetic testing in children as an example, we provide a clear step-by-step account of analysing text using ICA.
• 3 Clear guidance on ICA will be useful for beginning researchers, especially those more familiar with quantitative biomedical and behavioural research, and for their academic and professional supervisors.

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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