Mastodawn

Mixed methods helps you study a research problem from more than one angle, combining qualitative depth with quantitative patterns. It supports broader coverage, stronger inferences through triangulation, and flexible designs that fit your question. Used well, it becomes a coherent strategy for building answers from multiple forms of evidence.
https://qdacity.com/mixed-methods-research/

#QualitativeResearch #ResearchMethods #QDA #QDAcity

mloxton 5d ago

... and here I am

If you were on #MedMastodon wave at me, so I can follow you

If you are in #healthcare #populationhealth #medicine #qualitativeresearch #maxqda #research #knowledgemanagement #processimprovement #Qualityimprovement #qualitymanagement #qualitysafety #m&e #oncology #emergencycare #emergencymedicine #datascience

Then also, give me a wave

QDAcity Apr 2

Transferability in qualitative research helps readers judge whether findings fit other comparable settings. You can strengthen it through rich description of context, reflexivity, and data triangulation. When your setting and analytic choices are clearly documented, others can assess fit without overclaiming.
Explore more: https://qdacity.com/trustworthiness/transferability/

#ResearchMethods #QDA #Research #QualitativeResearch

Harald Klinke Mar 30

quallmer looks like a serious step toward making qualitative research with LLMs more transparent, reproducible, and methodologically grounded.
Codebook-based workflows + inter-coder reliability (Krippendorff’s alpha, Fleiss’ kappa) + audit trails = bridging classic qualitative rigor with AI-assisted analysis.
#LLM #DigitalHumanities #QualitativeResearch #AI #RStats
https://cran.r-project.org/web/packages/quallmer/refman/quallmer.html

Help for package quallmer

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Daniela Gawehns Mar 27

You can read the full text of the short and long abstract on zenodo:

https://zenodo.org/records/19237858

I ll be presenting these ideas in a 10 min short talk. Feedback is welcome, especially from #qualitativeresearch : did we portray the process of data creation more or less acurately? Did we miss an important tool to ensure rigor?

Be kind, I am dipping my feet for the first time into these waters 😅
I am also hoping to develop this into a full paper!

Abstracts of the Short Talk "What would qualitative data do to machine learning pipelines?"

Submission to EHBEA 2026, Leiden. The abstract was accepted for a short talk in the AI track of the conference. Abstracts as submitted to the conference (short form) and as extended for the book of abstracts (long form).

Zenodo

QDAcity Mar 26

Researcher bias can slip into your study through everyday decisions, from sampling to interpretation. Common forms include selection, confirmation, interpretation, and reporting bias. You can reduce these risks with reflexive notes, peer debriefing, triangulation, member checking, and clear audit trails.
Learn more: https://qdacity.com/researcher-bias/

#QualitativeResearch #CAQDAS #ResearchMethods #Research

Harald Kliems Mar 6

#QualitativeResearch #AcademicChatter question: Are there online software platforms that facilitate free sorting? I.e. participants individually sort statements a into a freely chosen number of piles and give those piles a name? (This is the sorting step in Group Concept Mapping.) The commonly used platforms like Qualtrics or RedCAP don't support this AFAIK.

QDAcity Feb 26

Collaboration brings diverse insights to qualitative research, but also logistical challenges. Coordinating coding, managing documents, and maintaining consistency can become complex in group settings. QDAcity supports shared access, real-time collaboration, and organized workflows to help research teams stay focused on analysis.
Learn more about supporting collaborative work: https://qdacity.com/qda-software-for-research-groups/

#Research #PhD #CAQDAS #QualitativeResearch #QDAcity #ResearchMethods

🩸 MenstruTech Feb 17

#HelloESR #Introduction Hello from “Blood and Data Flows: Exploring MenstruTech,” a French ANR-funded research project led by @moossye .

We study menstrual cycle tracking apps from the perspective of user practices as well as their back-end infrastructures. We are currently wrapping up a year-long investigation with app designers and with scientists who conduct research using the data these platforms generate. Our work is grounded in #Feminist and #Queer #STS, and examines how data derived from gendered bodily experiences circulate—and how knowledge is produced from them.

Oh, and btw, we also monitor how conservative and neo-fascist movements weaponize digital technologies against minorities… because we enjoy keeping things light and optimistic.

#FeministSTS #QueerStudies #DigitalHealth #DataStudies #CriticalData #PlatformStudies #GenderAndTechnology #ReproductiveHealth #QualitativeResearch