Simulation-assisted quantitative content analysis
Simulation-assisted quantitative content analysis (SA-QCA) extends classical quantitative content analysis by integrating computational simulation — typically Monte Carlo methods or agent-based models — to validate coding schemes, estimate coder reliability under controlled conditions, test category distinctiveness, and assess the robustness of frequency-based conclusions before or alongside the analysis of real text corpora. The method preserves the systematic, replicable counting logic of quantitative content analysis while adding a simulation layer that strengthens methodological rigour.
Kilderegistrering
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- Neuendorf, K. A. (2002). The Content Analysis Guidebook. Sage Publications. · ISBN 978-0761919964
- Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage Publications. · ISBN 978-1506395661
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