Audience
Researchers requiring an open access web application solution for systematic text analysis in scientific projects
About QCAmap
QCAmap is an open access web application for systematic text analysis in scientific projects based on the techniques of qualitative content analysis. QCAmap can be used within research projects in e.g. psychology, sociology, education, economics, linguistic sciences, to analyze small and large amounts of any text material and images coming from interviews, group discussions, observation protocols, documents, open-ended questionnaire items and others. Qualitative Content Analysis is a strictly rule-guided procedure containing qualitative steps (assignment of categories to text passages and images) and quantitative steps (analysis of category frequencies). We have developed a web-based interactive software package, which leads you step by step through the different techniques of Qualitative Content Analysis. The software is free available. All your old projects are migrated to the new version and can be used as normal.
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Product Details
QCAmap Product Features
Qualitative Data Analysis
QCAmap Verified User Reviews
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Probability You Would Recommend?1 2 3 4 5 6 7 8 9 10
"competent tool" Posted 2026-06-24
Pros: Gives a clear, reproducible setup but allows flexibility for your deductive, inductive and summarizing needs. Multiple overlapping markings can be made, the exported information can be exported as csv containing 1. a series of text strings + category + document; 2. the number of or binary is or is not mentioned the set categories and 3. the the category rules themselves. this data can be refined outside the tool from there.
Multiple documents can be added to a project in which multiple research questions with different methods can be set up. Reliability within one tester and across testers can be tested to further added to allow for intersubjective claims.
The view for marking in the text is easy to use and highlights passages not in the text but as bars on the side, so the text does not get obfuscated.Cons: The categories of any given question must strictly be deductive XOR inductive. keep this in mind before putting together the questions and categories.
Sessions can be a bit short, which then forces you to re-login and clicking back to your project.Overall: hiccups getting into the method used, but there is resources available on the web to guide you on that. Does what it says it does pretty well, allows a quantitative addition to a qualitative analysis.
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