Trustworthy qualitative findings are built deliberately throughout your study. Lincoln & Guba’s framework helps you check rigor through: credibility, transferability, dependability, and confirmability. Strategies like triangulation, peer debriefing, reflexive memoing, and audit trails make your analysis more transparent.
https://qdacity.com/trustworthiness/
En cherchant un logiciel d'analyse quali qui soit dispo sur Linux, je suis tombée sur #Quirkos
Alors c'est clairement moins puissant que mon jouet habituel ( #MaxQDA) et en particulier ça gère pas du tout la vidéo mais :
👉 L'interface plus minimaliste est sympa
👉 C'est ultra facile à utiliser
👉 On peut acheter une licence locale POUR LA VIE !
👉 C'est dispo mac, vieux mac, PC et LINUX !
Uncovering depth in qualitative research requires more than quick interviews. Prolonged engagement allows you to build trust, gather richer data, and better understand context. It strengthens credibility, dependability, and confirmability. More than time, it is about meaningful interaction that reflects real experiences.
Learn how to apply this approach: https://qdacity.com/prolonged-engagement/
#Research #QDAcity #QDA #QualitativeDataAnalysis #PhD #Student
@mediaofcoop Thank you for this report. Your concluding statement regarding AI-supported qualitative analysis is very plausible. This is exactly my impression, too:
"The LLM-led analyses tended to privilege broadly applicable and generalized narratives, often at the expense of interpretive depth, thereby creating an epistemic distance between researchers and the data."
#QualitativeData #QDA #ArtificialIntelligence #LLM #QualitativeForschung #QualitativeSozialforschung #Qualitativedataanalysis
Strong research begins with dependable analysis. In qualitative studies, ensuring reliability is not optional, it is essential. Strategies like test-retest, inter-rater checks, parallel forms, and internal consistency contribute to more credible findings. Whether for a thesis, dissertation, or applied research, these methods help build trust in your results.
QDAcity offers tools and guides to support their use: https://qdacity.com/reliability/
Interviews are a cornerstone of qualitative research, inviting depth, emotion, and layered meaning into your data.
They require attention to subtle cues, shifting narratives, and participant voice, whether you're using semi-structured, narrative, or in-depth formats.
QDAcity supports the full process, from precise documentation to rigorous analysis, helping you handle the complexity with confidence.
Learn more: https://qdacity.com/interview-analysis/
Teaching qualitative data analysis means balancing conceptual depth with practical application. QDAcity helps you do both.
Create course spaces with your own materials, guide students step by step through coding, and use inter-coder tools to support scalable, transparent assessment.
It promotes collaboration and mirrors real-world qualitative research, preparing students with tools they’ll actually use.
https://qdacity.com/teaching-qda/
#QualitativeResearch #QualitativeDataAnalysis #ResearchMethods #QDA
Polly Kraisus
QDAcity
Aude Caussarieu 🌻
Gerald Leppert, PhD 