#qualitativeresearch — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #qualitativeresearch, aggregated by home.social.
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Transparency in qualitative research helps you earn trust by showing how your analysis developed. An audit trail keeps key decisions visible from start to finish, including methods, coding steps, and shifts in interpretation. It makes conclusions easier to follow and supports reflexivity and teamwork.
Learn more: https://qdacity.com/audit-trail -
Reading Lincoln and Gubas 1985 book on naturalistic inquiry. Very glad that they are still remembered in 2026.
#AcademicAtWork #qualitativeResearch -
Reading Lincoln and Gubas 1985 book on naturalistic inquiry. Very glad that they are still remembered in 2026.
#AcademicAtWork #qualitativeResearch -
In theory-building qualitative research, sample sizes are often small, so your sampling strategy matters. Theoretical sampling helps you decide what to collect next based on what your data is already suggesting. It supports depth over representativeness and helps you work toward theoretical saturation as concepts develop.
Explore more: https://qdacity.com/theoretical-sampling -
When your findings draw on more than one data source, they become easier to trust. Data triangulation helps you compare perspectives across interviews, observations, and documents instead of relying on one narrative. It helps you notice where sources align or differ and supports a more transparent analytic process.
Learn more: https://qdacity.com/data-triangulation/ -
Open-ended questionnaire responses add meaning that numbers alone often miss. They show how participants frame experiences, priorities, and uncertainty in their own words. With systematic coding, you can keep interpretations traceable and connect qualitative themes with quantitative results for richer analysis.
Explore more: https://qdacity.com/questionaire-analysis/ -
Latest paper by the ' #ResponseShift – in Sync Working Group' describes #QualitativeResearch examining RS and the synthesis calls for #triangulation of evidence to advance our understanding of RS
https://link.springer.com/article/10.1007/s11136-026-04290-0Other publications by the group:
https://link.springer.com/search?facet-journal-id=11136&query=%22Response+Shift+%E2%80%93in+Sync+Working+Group%22&content-type=Article&dateFrom=&dateTo=&sortBy=relevance -
Latest paper by the ' #ResponseShift – in Sync Working Group' describes #QualitativeResearch examining RS and the synthesis calls for #triangulation of evidence to advance our understanding of RS
https://link.springer.com/article/10.1007/s11136-026-04290-0Other publications by the group:
https://link.springer.com/search?facet-journal-id=11136&query=%22Response+Shift+%E2%80%93in+Sync+Working+Group%22&content-type=Article&dateFrom=&dateTo=&sortBy=relevance -
(1) preregistration and #RegisteredReports as tools to strengthen confirmatory rigor in complex clinical designs;
#RCT(2) responsible data and material sharing under appropriate governance structures that account for the sensitivity of clinical data;
#ResearchEthics(3) analytic transparency, including documentation of analytic decisions and #QualitativeResearch practices.
* For more on the working group, link to German profile:
https://www.dgps.de/fachgruppen/fgkl/aktivitaeten/ag-open-science/ -
(1) preregistration and #RegisteredReports as tools to strengthen confirmatory rigor in complex clinical designs;
#RCT(2) responsible data and material sharing under appropriate governance structures that account for the sensitivity of clinical data;
#ResearchEthics(3) analytic transparency, including documentation of analytic decisions and #QualitativeResearch practices.
* For more on the working group, link to German profile:
https://www.dgps.de/fachgruppen/fgkl/aktivitaeten/ag-open-science/ -
If your question is about shared perspectives or group dynamics, focus groups can reveal what one-to-one interviews often cannot: how meanings form through interaction. They let you observe how participants respond to each other, negotiate viewpoints, and shape discussion through context and social cues. Learn more: https://qdacity.com/focus-group/
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Method triangulation helps you study the same phenomenon through more than one lens and see where findings converge or differ. By comparing results across methods, you can reduce reliance on a single approach, strengthen claims, and refine explanations. Used deliberately, it makes your reasoning easier to follow. https://qdacity.com/method-triangulation
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Method triangulation helps you study the same phenomenon through more than one lens and see where findings converge or differ. By comparing results across methods, you can reduce reliance on a single approach, strengthen claims, and refine explanations. Used deliberately, it makes your reasoning easier to follow. https://qdacity.com/method-triangulation
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Member checking helps you test whether your interpretations make sense to the people who shared their experiences. Used thoughtfully, it can strengthen ethics and rigor by inviting feedback on meaning, surfacing misunderstandings, and documenting how interpretations were reviewed. It can be used after interviews, during analysis, or when drafting findings.
https://qdacity.com/member-checking/ -
Member checking helps you test whether your interpretations make sense to the people who shared their experiences. Used thoughtfully, it can strengthen ethics and rigor by inviting feedback on meaning, surfacing misunderstandings, and documenting how interpretations were reviewed. It can be used after interviews, during analysis, or when drafting findings.
https://qdacity.com/member-checking/ -
Our first textbook is finally on sale! Place orders for physical or digital editions here:
https://www.quirkos.com/learn-qualitative/qualitative-textbook.html?ref=mastodon
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Our first textbook is finally on sale! Place orders for physical or digital editions here:
https://www.quirkos.com/learn-qualitative/qualitative-textbook.html?ref=mastodon
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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/ -
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/ -
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/ -
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 -
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 -
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! -
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! -
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/ -
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/ -
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
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#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
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#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
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#DigitalIndependence #diday for #SocialScience #researchers:
#Rstats #Jamovi #Python <-- #SPSS #Stata
#LibreOffice #LaTeX #Typst editors #Gnumeric <-- #MicrosoftOffice
#CollaboraOnline <-- #GoogleDocs #GoogleWorkspace #Microsoft365
#Zotero <-- #Endnote #Mendeley #Citavi
#ODK #KoboToolbox #LimeSurvey <-- #Qualtrics #SurveyMonkey etc.
#requal #Taguette <-- #MaxQDA #AtlasTI #NVivo
#PoliticalScience #Economics #Statistics #Econometrics #QualitativeResearch #Evaluation #QuantitativeResearch
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#DigitalIndependence #diday for #SocialScience #researchers:
#Rstats #Jamovi #Python <-- #SPSS #Stata
#LibreOffice #LaTeX #Typst editors #Gnumeric <-- #MicrosoftOffice
#CollaboraOnline <-- #GoogleDocs #GoogleWorkspace #Microsoft365
#Zotero <-- #Endnote #Mendeley #Citavi
#ODK #KoboToolbox #LimeSurvey <-- #Qualtrics #SurveyMonkey etc.
#requal #Taguette <-- #MaxQDA #AtlasTI #NVivo
#PoliticalScience #Economics #Statistics #Econometrics #QualitativeResearch #Evaluation #QuantitativeResearch
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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/ -
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/ -
Dear #QualitativeResearch people! 🎙️
We need your help - more specifically, your exported projects 🙂 We're working on a way to liberate qualitative projects from Closed, proprietary software such as NVivo, Atlas, MaxQDA, Dedoose, etc.
This project will allow converting projects exported to the REFI-QDA file format to the Reproducible Open Coding Kit project format, which is much more accessible, much simpler to work with in other software, and so lends itself better for #OpenScience.
🧵 1/3
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Dear #QualitativeResearch people! 🎙️
We need your help - more specifically, your exported projects 🙂 We're working on a way to liberate qualitative projects from Closed, proprietary software such as NVivo, Atlas, MaxQDA, Dedoose, etc.
This project will allow converting projects exported to the REFI-QDA file format to the Reproducible Open Coding Kit project format, which is much more accessible, much simpler to work with in other software, and so lends itself better for #OpenScience.
🧵 1/3
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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
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We've extended the number of supported document types in QDAcity.
QDAcity now supports direct DOCX uploads, so you can add your MS Word data to your project without converting files first. Formatting may change but the following elements will be preserved:
• Tables
• Lists
• Images
• Font formating (heading, bold, italics etc)
If you face any problem or have suggestions, send us an email at [email protected].
#QDA #QualitativeDataAnalysis #CAQDAS #QualitativeResearch #QDAcity #ResearchMethods -
Understanding consumer behavior requires more than numbers, qualitative analysis helps reveal the why behind the what.
By exploring interviews, open-ended surveys, or social media, you can uncover motivations, preferences, and trends that numbers alone miss.
QDAcity provides structured tools and collaboration features to turn that insight into action.
Explore how: https://qdacity.com/qda-software-for-marketing/#QualitativeResearch #QualitativeDataAnalysis #ResearchMethods #Student
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Diary studies give researchers a powerful way to access participants’ lived experiences over time.
By documenting thoughts and behaviors as they naturally unfold, this method captures emotional depth and evolving patterns that might be missed in interviews.
It works well on its own or as part of a multi-method approach, always centering the participant’s voice.
Explore how to apply diary studies: https://qdacity.com/diary-study#QualitativeDataAnalysis #QualitativeResearch #ResearchMethods #CAQDAS
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Our new newsletter is out! We are sharing news about our upcoming #symposium, projects our qualitative #openScience and what open science can learn from #qualitativeResearch methods, new collaborations and network partners:
https://dutch-reproducibility-network.email-provider.eu/web/hw2cjrnpis/pdzrmyigap?lp-t=1763723984
Would you like to receive the #newsletter to you inbox? Then sign-up here:
https://reproduciblitynetwork.nl/newsletterPhoto: Samuel Isaacs on Unsplash
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#PositionalityStatements and DMP’s – match made in heaven or one more tick box?
The blogpost is a summary of discussions about #DMPs as place for manatory #reflections during the OSC NL Barcamp.PS: what do #reproducibility and a tool to ensure #rigour of #QualitativeResearch have in common? The short answer: sharing the full #research process helps people understand the research process - and that's a good start if you want to reproduce or #replicate work.
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Is anyone aware of any survey or interview studies on qualitative researchers' attitudes towards (or perhaps even resistance to) #OpenScience? Many thanks! 🙏
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Is anyone aware of any survey or interview studies on qualitative researchers' attitudes towards (or perhaps even resistance to) #OpenScience? Many thanks! 🙏
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Trying out #OpenQDA and it's good! Still not a lot of features, but hopefully it'll grow. The Github community seems enthusiastic. I've been using CATMA, but I think I'm moving.
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Trying out #OpenQDA and it's good! Still not a lot of features, but hopefully it'll grow. The Github community seems enthusiastic. I've been using CATMA, but I think I'm moving.
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Thats great! 416 experienced qualitative researchers from 38 countries reject the use of generative artificial intelligence (GenAI) applications for Big Q Qualitative approaches, such as reflexive thematic analysis, or various phenomenological approaches.
They describe three primary reasons for the rejection:
1. GenAI as simulated intelligence is incapable of meaning making
2. Qualitative research should remain a distinctly human practice
3. The established manifold harms of GenAI, especially to the environment and workers in the Global South"[...] the algorithmic patterns upon which GenAI operates predisposes GenAI to identify, replicate and reinforce dominant language and patterns; risking the further quieting of marginal voices and practices, including those of critical scholars. The voices and practices of people who live/breathe/feel/imagine/construct knowledge in the maroons of life – along with their stunning/quirky/complex/unpredictable ways – may be lost or worse; sacrificed."
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5676462
#PositionStatement #Preprint #GenAI #NoGenAI #QualitativeResearch #Research #Science #BigQ
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Thats great! 416 experienced qualitative researchers from 38 countries reject the use of generative artificial intelligence (GenAI) applications for Big Q Qualitative approaches, such as reflexive thematic analysis, or various phenomenological approaches.
They describe three primary reasons for the rejection:
1. GenAI as simulated intelligence is incapable of meaning making
2. Qualitative research should remain a distinctly human practice
3. The established manifold harms of GenAI, especially to the environment and workers in the Global South"[...] the algorithmic patterns upon which GenAI operates predisposes GenAI to identify, replicate and reinforce dominant language and patterns; risking the further quieting of marginal voices and practices, including those of critical scholars. The voices and practices of people who live/breathe/feel/imagine/construct knowledge in the maroons of life – along with their stunning/quirky/complex/unpredictable ways – may be lost or worse; sacrificed."
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5676462
#PositionStatement #Preprint #GenAI #NoGenAI #QualitativeResearch #Research #Science #BigQ
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Thats great! 416 experienced qualitative researchers from 38 countries reject the use of generative artificial intelligence (GenAI) applications for Big Q Qualitative approaches, such as reflexive thematic analysis, or various phenomenological approaches.
They describe three primary reasons for the rejection:
1. GenAI as simulated intelligence is incapable of meaning making
2. Qualitative research should remain a distinctly human practice
3. The established manifold harms of GenAI, especially to the environment and workers in the Global South"[...] the algorithmic patterns upon which GenAI operates predisposes GenAI to identify, replicate and reinforce dominant language and patterns; risking the further quieting of marginal voices and practices, including those of critical scholars. The voices and practices of people who live/breathe/feel/imagine/construct knowledge in the maroons of life – along with their stunning/quirky/complex/unpredictable ways – may be lost or worse; sacrificed."
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5676462
#PositionStatement #Preprint #GenAI #NoGenAI #QualitativeResearch #Research #Science #BigQ
-
Thats great! 416 experienced qualitative researchers from 38 countries reject the use of generative artificial intelligence (GenAI) applications for Big Q Qualitative approaches, such as reflexive thematic analysis, or various phenomenological approaches.
They describe three primary reasons for the rejection:
1. GenAI as simulated intelligence is incapable of meaning making
2. Qualitative research should remain a distinctly human practice
3. The established manifold harms of GenAI, especially to the environment and workers in the Global South"[...] the algorithmic patterns upon which GenAI operates predisposes GenAI to identify, replicate and reinforce dominant language and patterns; risking the further quieting of marginal voices and practices, including those of critical scholars. The voices and practices of people who live/breathe/feel/imagine/construct knowledge in the maroons of life – along with their stunning/quirky/complex/unpredictable ways – may be lost or worse; sacrificed."
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5676462
#PositionStatement #Preprint #GenAI #NoGenAI #QualitativeResearch #Research #Science #BigQ
-
Thats great! 416 experienced qualitative researchers from 38 countries reject the use of generative artificial intelligence (GenAI) applications for Big Q Qualitative approaches, such as reflexive thematic analysis, or various phenomenological approaches.
They describe three primary reasons for the rejection:
1. GenAI as simulated intelligence is incapable of meaning making
2. Qualitative research should remain a distinctly human practice
3. The established manifold harms of GenAI, especially to the environment and workers in the Global South"[...] the algorithmic patterns upon which GenAI operates predisposes GenAI to identify, replicate and reinforce dominant language and patterns; risking the further quieting of marginal voices and practices, including those of critical scholars. The voices and practices of people who live/breathe/feel/imagine/construct knowledge in the maroons of life – along with their stunning/quirky/complex/unpredictable ways – may be lost or worse; sacrificed."
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5676462
#PositionStatement #Preprint #GenAI #NoGenAI #QualitativeResearch #Research #Science #BigQ