#caqdas — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #caqdas, aggregated by home.social.
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Reflexivity helps keep qualitative research honest by asking how your background, values, and position shape what you ask, hear, and interpret. It supports ethical awareness, transparency, and trustworthiness by making assumptions and decisions more visible.
Learn more: https://qdacity.com/reflexivity/ -
Reflexivity helps keep qualitative research honest by asking how your background, values, and position shape what you ask, hear, and interpret. It supports ethical awareness, transparency, and trustworthiness by making assumptions and decisions more visible.
Learn more: https://qdacity.com/reflexivity/ -
Peer debriefing is a simple way to make your qualitative work more defensible. By inviting a colleague to question your reasoning, you can clarify interpretations, uncover assumptions, and consider alternative readings of the same data. When documented, it also strengthens transparency and accountability in your workflow.
Learn more: https://qdacity.com/peer-debriefing/ -
QualCoder now has it’s own domain name.
www.qualcoder.orghttps://qualcoder.wordpress.com/2026/04/29/qualcoder-domain-name/
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QualCoder now has it’s own domain name.
www.qualcoder.orghttps://qualcoder.wordpress.com/2026/04/29/qualcoder-domain-name/
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Maybe it's a rather far shot but, could anyone out there share their experience using OpenQDA for qualitative research? And has at least comparative experience using QualCoder or MAXQDA/Atlas.ti? :neocat_boop:
Concerning coding text and analysis, usability and reliability. I'm not interested in any of the AI related functionality, just bog standard social sciences qualitative analysis :neocat_thumbsup:.
*Oh, please spare me ye old school recs like using Excel/Word for coding text segments :neocat_boop_googly:.*
Thank you! Boosts appreciated :boost: :Cat_girls_Emoji_003:
#qualitativedataanalysis #qda #qdasoftware #CAQDAS #socialsciences #sociology #ethnography #fediscience #sciencefedi #phdadvice -
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/ -
Memo writing is more than keeping notes. It is where much of qualitative analysis takes shape. Memos help you test ideas, notice patterns, track changes in interpretation, and document reasoning others can follow. They also support collaboration by making analytic decisions more visible across a team.
Explore more: https://qdacity.com/memo-writing-in-qualitative-research/ -
Typical case sampling helps you describe what is common in a group or setting, especially when time for data collection is limited. Rather than focusing on extremes, you select cases that reflect routine practice. It can be especially useful for applied projects that aim to inform practice or policy.
Learn more: https://qdacity.com/typical-case-sampling -
Typical case sampling helps you describe what is common in a group or setting, especially when time for data collection is limited. Rather than focusing on extremes, you select cases that reflect routine practice. It can be especially useful for applied projects that aim to inform practice or policy.
Learn more: https://qdacity.com/typical-case-sampling -
Working in a team?
Consistent coding is part of making your analysis defensible. Intercoder agreement helps you see how similarly researchers apply codes, reveal ambiguity in code definitions, and improve reliability in collaborative projects. Used well, it supports a clearer codebook, aligned interpretations, and transparent analytic decisions.
https://qdacity.com/intercoder-agreement -
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/ -
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/ -
QDAcity now supports spreadsheets in your workflow. You can upload Excel files in XLSX format and create or edit spreadsheets directly in QDAcity. This helps you keep research-related data in one place and code it with a consistent codebook. The feature is available now.
We’d love to hear your feedback: https://qdacity.com/ -
When interviews aren’t feasible, open-ended surveys can still give you rich qualitative insights. They capture participants’ own words, work well for remote research, and can bridge depth with feasibility. Strong results depend on careful question design, pilot testing, and a clear coding approach.
Read more: https://qdacity.com/open-ended-survey/ -
When interviews aren’t feasible, open-ended surveys can still give you rich qualitative insights. They capture participants’ own words, work well for remote research, and can bridge depth with feasibility. Strong results depend on careful question design, pilot testing, and a clear coding approach.
Read more: https://qdacity.com/open-ended-survey/ -
Capturing lived experience in qualitative research means going beyond summaries. Thick description adds depth by including participant quotes, detailed settings, and contextual background. It supports validity and transferability, while allowing readers to connect with your analysis. This approach strengthens rigor and offers richer insights into human experiences.
Learn how to use thick description in your research: https://qdacity.com/thick-description/ -
Capturing lived experience in qualitative research means going beyond summaries. Thick description adds depth by including participant quotes, detailed settings, and contextual background. It supports validity and transferability, while allowing readers to connect with your analysis. This approach strengthens rigor and offers richer insights into human experiences.
Learn how to use thick description in your research: https://qdacity.com/thick-description/ -
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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Credibility in qualitative research relies not only on solid data but also on transparency and confirmability. Referential adequacy supports this by encouraging reflexivity, member checking, peer debriefing, and thick descriptions. These strategies help balance subjectivity, reduce bias, and make your work more reproducible.
Learn how to apply referential adequacy in your study: https://qdacity.com/referential-adequacy/#Research #QualitativeDataAnalysis #ResearchMethods #PhD #CAQDAS #Student
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Credibility in qualitative research relies not only on solid data but also on transparency and confirmability. Referential adequacy supports this by encouraging reflexivity, member checking, peer debriefing, and thick descriptions. These strategies help balance subjectivity, reduce bias, and make your work more reproducible.
Learn how to apply referential adequacy in your study: https://qdacity.com/referential-adequacy/#Research #QualitativeDataAnalysis #ResearchMethods #PhD #CAQDAS #Student
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Context often shapes data more than we realize. In qualitative research, the environment where you collect data can influence participant responses and the overall outcomes. Environmental triangulation helps by introducing variation in setting, reducing location-based bias, and capturing context more effectively. Whether in a quiet office or a busy café, setting matters.
Learn how to apply this strategy in your research: https://qdacity.com/environmental-triangulation/ -
Context often shapes data more than we realize. In qualitative research, the environment where you collect data can influence participant responses and the overall outcomes. Environmental triangulation helps by introducing variation in setting, reducing location-based bias, and capturing context more effectively. Whether in a quiet office or a busy café, setting matters.
Learn how to apply this strategy in your research: https://qdacity.com/environmental-triangulation/ -
Objectivity can be challenging in qualitative research, but it remains essential for evaluating rigor and credibility. Defining clear hypotheses, using standardized procedures, involving diverse team members, and applying investigator triangulation and peer debriefing all contribute to more grounded and transparent findings. While subjectivity is part of the process, these strategies help manage its influence. Learn more: https://qdacity.com/objectivity/
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Objectivity can be challenging in qualitative research, but it remains essential for evaluating rigor and credibility. Defining clear hypotheses, using standardized procedures, involving diverse team members, and applying investigator triangulation and peer debriefing all contribute to more grounded and transparent findings. While subjectivity is part of the process, these strategies help manage its influence. Learn more: https://qdacity.com/objectivity/
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Bias in qualitative research is often subtle, yet it can influence every stage from data collection to interpretation. Acknowledging it is key to preserving credibility. Reflexivity, triangulation, peer debriefing, and systematic documentation are important strategies for identifying and managing bias. These methods help strengthen the trustworthiness of your study.
Explore practical steps for addressing bias: https://qdacity.com/bias-in-qualitative-research/ -
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/ -
Keeping your coding consistent, especially in team-based qualitative research, can be challenging. A structured codebook helps establish clear definitions, supports shared understanding, and documents analytic decisions. It also contributes to the reliability and transparency of your findings. Frameworks like MacQueen et al. (1998) offer useful guidance.
QDAcity supports structured codebook work: https://qdacity.com/codebook/#Research #QDAcity #CAQDAS #PhD #QualitativeDataAnalysis #Student
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Keeping your coding consistent, especially in team-based qualitative research, can be challenging. A structured codebook helps establish clear definitions, supports shared understanding, and documents analytic decisions. It also contributes to the reliability and transparency of your findings. Frameworks like MacQueen et al. (1998) offer useful guidance.
QDAcity supports structured codebook work: https://qdacity.com/codebook/#Research #QDAcity #CAQDAS #PhD #QualitativeDataAnalysis #Student
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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/ -
Choosing a sampling strategy is a key step in qualitative research, it shapes your findings’ richness, diversity, and trustworthiness.
Whether you use purposive sampling, snowballing, or theoretical sampling, your choices should align with your research goals and be clearly justified.
Transparent selection methods support rigor, context, and credibility from the very start.
Explore different strategies: https://qdacity.com/sampling-strategies-in-qualitative-research/ -
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 -
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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Grounded theory is a flexible, systematic way to generate theory directly from qualitative data, without starting with predefined hypotheses.
It relies on constant comparison, theoretical sampling, and iterative coding to uncover emerging patterns and guide ongoing analysis.
This method keeps your work tightly connected to participants' experiences while allowing your focus to evolve with the data.
https://qdacity.com/grounded-theory/ -
Grounded theory is a flexible, systematic way to generate theory directly from qualitative data, without starting with predefined hypotheses.
It relies on constant comparison, theoretical sampling, and iterative coding to uncover emerging patterns and guide ongoing analysis.
This method keeps your work tightly connected to participants' experiences while allowing your focus to evolve with the data.
https://qdacity.com/grounded-theory/ -
To better understand complex phenomena, theory triangulation applies multiple frameworks to your qualitative data.
It helps uncover varied dimensions of meaning, reduce bias, and foster more balanced, critical interpretation.
This approach supports theoretical rigor through comparison or integration, opening space for deeper reflection and grounded insight.
Learn how to apply it effectively: https://qdacity.com/theory-triangulation/ -
In qualitative research, transparency is key and an audit trail helps you achieve it.
By documenting your research steps, methods, and interpretive shifts, you create a structured, credible record of your process.
It supports reflexivity, invites collaboration, and makes your work more accessible and trustworthy.
Learn how to build a meaningful audit trail: https://qdacity.com/audit-trail -
In theory-building qualitative research, sampling guides your process, it’s not just a first step.
Theoretical sampling means selecting participants or cases based on what your ongoing analysis reveals. This approach aims for depth, analytical value, and theoretical saturation, not representativeness.
Aligned with grounded theory, it supports a flexible, iterative process that evolves with your study.
Explore how to apply it: https://qdacity.com/theoretical-sampling -
Open-ended questionnaire responses give voice to participants—offering nuanced perspectives that quantitative data might miss.
Using qualitative analysis, you can systematically code and categorize these narratives, complementing structured surveys and enhancing mixed-methods designs.
This approach helps you move from surface trends to deeper meaning.
Explore how to analyze this data effectively: https://qdacity.com/questionaire-analysis/#QDAcity #CAQDAS #QualitativeDataAnalysis #Student #Research
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Open-ended questionnaire responses give voice to participants—offering nuanced perspectives that quantitative data might miss.
Using qualitative analysis, you can systematically code and categorize these narratives, complementing structured surveys and enhancing mixed-methods designs.
This approach helps you move from surface trends to deeper meaning.
Explore how to analyze this data effectively: https://qdacity.com/questionaire-analysis/#QDAcity #CAQDAS #QualitativeDataAnalysis #Student #Research
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Thesis or literature review coming up?
Qualitative data analysis with QDAcity can help you bring clarity and structure to complex texts.
It allows you to identify recurring themes, spot gaps, and support your arguments with solid evidence, making big datasets more manageable and meaningful.
Explore how QDAcity can support your work: https://qdacity.com/qda-software-for-students/ -
Rigor in research is about more than collecting data, it's about how findings are evaluated. Two key paradigms help:
• Rationalistic: emphasizes validity and reliability
• Naturalistic: focuses on trustworthiness
Choosing the right one improves credibility and coherence in your qualitative or quantitative work.
Explore more: https://qdacity.com/research-rigor#ResearchRigor #PhDLife #CAQDAS #QDAcity #QualitativeDataAnlysis
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Once again experimenting with open source #CAQDAS for #qualitative analyses. Some always surface, but then disappear for lack of support.
Anyone have any more to add to this list? So far:
https://taguette.org - Simple but very effective, way to get students to understand coding
https://github.com/ccbogel/QualCoder/ - looks more robust, experimenting
https://requal.app - promising, based on R -
So I'm using a CLI-based qualitative data analysis system (it's great! https://qualitative-coding.readthedocs.io) that I integrate into my VSCode workspace. I happened to start experimenting with copilot last week and today when I started qualitative coding I noticed it was offering me suggestions. Seems to be based on my prior codings rather than the actual file from the corpus, but still a bit eerie and not sure if I want to keep this on or not.
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QDAcity is designed for seamless collaboration. Invite fellow users, establish and manage groups, and collectively analyze data as a team.
Discover more information here: https://qdacity.com/qda-software-for-research-groups/
#Teamwork #QDAcity #research #qualitativeresearch #dataanalysis #CAQDAS #phdLife -
Can anyone recommend good open source mind-mapping/concept-mapping software for creating situational maps? #QDA #CAQDAS #SituationalAnalysis
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Exploring Peer Debriefing in Qualitative Research!
Peer debriefing fosters collaboration and critical dialogue in qualitative research. By sharing findings and insights with experienced peers, researchers refine their interpretations and enhance methodological rigor. Reflexivity is the key, allowing researchers to confront biases and ensure the validity of their work.
https://qdacity.com/peer-debriefing/
#QDA #CAQDAS #QualitativeDataAnalysis #Research #PhDLife -
📢 Introducing the IASSIST 2025 QDA Workshop Series!
Join us in 2025 for a monthly deep dive into tools and technologies for #qualitative data analysis (#QDA). Each webinar will showcase a different tool, highlighting both shared and unique features to help you compare the many options available for qualitative researchers.
Let’s advance our understanding of QDA tools together!
🔗 Learn more and register: https://iassistdata.org/blog/2025/02/02/announcing-the-2025-iassist-workshop-series/
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A new version of our simple, offline qualitative analysis tool is now available! Quirkos 3 keeps your data secure and AI-free, with an easy visual interface. Try for free today!
https://www.quirkos.com/blog/post/quirkos-3-is-released-best-qualitative-software/
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Member Checking is a crucial best practice for #QualitativeResearch.
Use it to improve the accuracy and #trustworthiness in your findings by validating your interpretations and results with participants.
Benefits like enhanced Credibility, improved Dependability, and strengthened Confirmability make Member Checking a must-have in your qualitative #Research toolkit.
For more information about this incredible topic, you can check our article here: https://qdacity.com/member-checking/
#PhDLife #QDA #CAQDAS -
I've got something really special to share later this week - Episode 11 on my #CAQDASchat with Christina podcast is with the person who has had the biggest influence on my CAQDAS career, one of my very best friends and also one of my co-authors - YES - it's the awesome Ann Lewins.
Watch this space for when this episode drops
#NotToBeMissed #Qualitative #QualitativeDataAnalysis #QDA #CAQDAS #QDAS #QualitativeSoftware #CAQDASchat #DigitalTools #QualAI
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Interested in AI for qualitative research but not sure about it? Join my workshop on the use of AI in the qualitative research cycle. https://buff.ly/3woL1cj
Hosted by Instats we consider the appropriate uses of AI, which includes methodological implications and the utmost importance of ethics. Join Christina live or follow the sessions on-demand, at a time that suits your needs. #QualAI #QualitativeAI #QualitativeResearch #EthicalAI #QDA #CAQDAS #DigitalTools -
For 30+ years, we've been raising awareness and building capacity in social research methods through a series of short courses and other events.
https://www.surrey.ac.uk/department-sociology/study/cpd-and-short-courses
Many of you know us for our specialism in Computer Assisted Qualitative Data AnalysiS (#CAQDAS) but the department also hosts many other methods courses - check them out on our website and note that we offer discounts for #UGPN members
#Qualitative #Quantitative #MixedMethods #SocialResearchMethods -
📣 New Requal release: Thuringothyris (v1.1.2) 🦎 The Thuringothyris update brings several smaller changes to the Requal user interface, along with bug fixes and improvements such as more export functions for memos and codebooks. For more details, read the full Thuringothyris release notes: https://github.com/RE-QDA/requal/releases/tag/v1.1.2.9002
#CAQDAS #researchSoftware #QualitativeResearch #QDA #QualitativeData #OpenSource #OpenScience
#Requal #RequalCAQDAS -
Tips and tricks I’ve learnt about using NVivo #PhDLife https://drandrewhuang.wordpress.com/2024/02/02/tips-and-tricks-ive-learnt-about-using-nvivo/
Some great advice and tips towards the bottom of the post about getting stuff back OUT of NVivo for various purposes.
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Earlier this week, I learned from a student about this serious shortcoming in NVivo. :-(
Working with Arabic in NVivo (as well as Hebrew, Urdu, Persian and other Right-to-Left Scripts) https://caqdasblog.wordpress.com/2019/03/27/working-with-arabic-in-nvivo-as-well-as-hebrew-urdu-persian-and-other-right-to-left-scripts/
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Just a few days before I start teaching a MAXQDA course, this open source and collaborative #CAQDAS qualitative coding alternative drops. I just registered and will try it out in the coming days. I like MAXQDA and AtlastTI as capable and powerful tools, but I like open source / non-subscription software that supports REFI even more!
Register: https://openqda.org/
FAQ: https://openqda.org/faqThanks @Andreas_Hepp