Byleron Insights
Insights for qualitative researchers
Practical articles on sampling, coding, rigor, interviewing and responsible AI use. Full articles open on byleron.com.
Coding practice
The Basics of Qualitative Coding
What coding actually means in qualitative research, the difference between a code and a theme, and the two main ways researchers build a coding system.
Analysis and reporting
From Raw Data to Coded Themes
How individual codes turn into organized themes — the three main routes researchers use (thematic analysis, content analysis,…
Research design
How Many Interviews Is Enough? Sampling and Saturation
Why qualitative sample size isn't decided in advance the way survey sample size is, what "saturation" actually means,…
Rigor and trustworthiness
Intercoder Reliability: When (and How) to Use It
What intercoder reliability actually checks, why it isn't appropriate for every qualitative design, and what a defensible ICR…
Research design
Research design
How Many Interviews Is Enough? Sampling and Saturation
Why qualitative sample size isn't decided in advance the way survey sample size is, what "saturation" actually means,…
Research design
Designing a Semi-Structured Interview Guide
Why a semi-structured interview guide needs to be built and piloted systematically rather than written as a list…
Research design
Building a Codebook That Survives Contact with Real Data
How to build a flexible codebook with definitions and decision rules that can develop without becoming inconsistent.
Research design
What Makes Qualitative Data “Codable”? A Practical Framework Before You Start
A practical way to decide whether material is ready for qualitative coding, and what to do before creating…
Research design
Sampling in Qualitative Research: Purposive, Theoretical, and Maximum Variation Sampling Explained
A practical guide to matching qualitative sampling decisions to the question, case context, and claims a study can…
Research design
Designing Multimodal Studies: When to Combine Text, Audio, Video, and Images
How to design a multimodal qualitative study where different materials deepen analysis rather than merely increase volume.
Analysis and reporting
Analysis and reporting
From Raw Data to Coded Themes
How individual codes turn into organized themes — the three main routes researchers use (thematic analysis, content analysis,…
Analysis and reporting
Negative Case Analysis: What Disconfirming Evidence Does for Your Credibility
Why contradictory, unusual, and ambiguous cases deserve analytical attention instead of being treated as inconvenient exceptions.
Analysis and reporting
Demographic Cross-Analysis in Qualitative Data: What It Can—and Can’t—Tell You
How to use metadata comparisons descriptively while avoiding small-group overclaims, causal language, and confidentiality risks.
Coding practice
Coding practice
The Basics of Qualitative Coding
What coding actually means in qualitative research, the difference between a code and a theme, and the two…
Coding practice
Coding the Frame: A Guide to Region-Based Coding in Images and Video
How to select meaningful visual regions without treating an entire image or video frame as one undifferentiated piece…
Coding practice
From PDF to Insight: Coding Scanned and Structured Documents Without Losing Context
How to decide between text selection and visual-region coding in PDFs, including OCR checks and context-preserving practices.
Rigor and trustworthiness
Rigor and trustworthiness
Reflexivity and Positionality in Qualitative Research
What reflexivity actually means as a research practice, why it needs to run through a whole study rather…
Rigor and trustworthiness
Intercoder Reliability: When (and How) to Use It
What intercoder reliability actually checks, why it isn't appropriate for every qualitative design, and what a defensible ICR…
AI and ethics
AI and ethics
Using AI Responsibly in Qualitative Coding
What the current evidence actually shows about AI-assisted coding — where it performs close to human coders, where…
AI and ethics
Using AI to Draft, Not Decide: A Responsible Workflow for AI-Assisted QDA
A researcher-controlled workflow for using AI to organise, suggest, and draft without outsourcing analytical responsibility.
More articles
Tools and interoperability
REFI-QDA and Why Your Coding Should Be Portable
What the REFI-QDA standard actually does, what's been tested so far, and why being able to move a…
Mixed methods
Mixed Methods Integration: Joint Displays and Convergent Designs
How researchers actually bring qualitative and quantitative strands together — joint displays, the Pillar Integration Process, and what…
Results and visualisation
Reporting and Visualizing Your Qualitative Findings
How to check your themes actually hold up, choose a way to show your findings, and report qualitative…