I’m exploring AI-powered tools to analyze both qualitative (text, interviews) and quantitative (statistical, numerical) data. I’m particularly looking for tools that are user-friendly, efficient, and safe for academic research, ensuring data privacy and security. Recommendations for platforms or software that prioritize data protection would be greatly appreciated.
Qualitative Analysis NVivo: Text coding, sentiment analysis, visualization. MAXQDA: Thematic coding, text exploration, AI transcription. Atlas.ti: Auto-coding, semantic grouping, multimedia support. Leximancer: Concept mapping, text mining. Quantitative Analysis IBM SPSS: Statistical analysis, predictive modeling. R: Open-source for advanced statistical programming. Python (Pandas, NumPy): Data manipulation and analysis. Tableau: Data visualization, real-time dashboards.
Because AI (generative AI) is a super cool autocorrect that hallucinates, make facts and sources up - the short answer is NONE. Translation services is so so - but if you rely on them 100 percent there are room for error that I do not find acceptable. The tools above is not AI (except for AI transcriptions) so my comment is not on SPSS. NVivo and the sort. For me there is a huge difference between software that help you to do analysis and AI tools that do the analysis for you. I believe that the latter is, given the quality of AI right now, not mature.
For qualitative analysis, ATLAS.ti, MAXQDA, and NVivo now all incorporate generative AI to different degrees, so if you already have access to one of these, it should serve your purposes.
For quantitative analyses, I think contemporary AIs are likely to be less practical because they can only work with data that they have "seen" before. For example, ChatGPT cannot solve complex addition problems unless they are part of its "reference data set."
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