Signal & Noise

Skimle's resource center dedicated to high quality analysis using modern methods

Cover Image for Content analysis vs thematic analysis: which method fits your research?

Content analysis vs thematic analysis: which method fits your research?

Content analysis counts and categorises text systematically; thematic analysis interprets patterns of meaning. Learn the 5 key differences and when to choose each method.

Cover Image for Interpretive phenomenological analysis (IPA): a guide for psychology and health researchers

Interpretive phenomenological analysis (IPA): a guide for psychology and health researchers

IPA explores lived experience through small, purposive samples and deep individual case analysis. Learn when to use IPA, how the 6-step process works, and how it differs from thematic analysis.

Cover Image for Grounded theory methodology: a practical guide for qualitative researchers

Grounded theory methodology: a practical guide for qualitative researchers

Grounded theory generates theory from data through iterative coding and constant comparison. This guide covers the 3 main variants, the full coding process, and when to choose GT over thematic analysi...

Cover Image for Inductive, deductive, and abductive coding in qualitative research: when to use each

Inductive, deductive, and abductive coding in qualitative research: when to use each

Inductive coding builds categories from data up. Deductive coding applies existing frameworks down. Abductive coding iterates between both. This guide explains when to use each — with examples.

Cover Image for Reflexive thematic analysis: what changed with Braun and Clarke's updated approach

Reflexive thematic analysis: what changed with Braun and Clarke's updated approach

Reflexive thematic analysis treats coding as interpretation, not extraction. Learn how Braun and Clarke's updated approach differs from the 2006 version and what it means in practice.

Cover Image for Interview transcript analysis: a practical guide

Interview transcript analysis: a practical guide

How to analyse interview transcripts systematically — preparing data, coding approaches, building themes, and writing up. Covers manual and AI-assisted methods.

Cover Image for How to anonymise and pseudonymise qualitative research data: IRB-compliant de-identification of interview transcripts

How to anonymise and pseudonymise qualitative research data: IRB-compliant de-identification of interview transcripts

Step-by-step guide to anonymising and pseudonymising qualitative interview data for IRB, GDPR, and HIPAA compliance with Skimle Anonymise. Covers identifiers, audit trails, and methods documentation.

Cover Image for How many qualitative interviews are enough? Guest, Bunce & Johnson (2006), saturation, and what the evidence says

How many qualitative interviews are enough? Guest, Bunce & Johnson (2006), saturation, and what the evidence says

Guest, Bunce & Johnson (2006) found code saturation at 12 interviews. Here is what that finding actually means, its limitations, and how to set your qualitative sample size.

Cover Image for How to do qualitative research on a PhD budget: tools and methods that won't break the bank

How to do qualitative research on a PhD budget: tools and methods that won't break the bank

NVivo costs over EUR 1000 per year and is rarely worth it for individual researchers. Here are the best free and affordable alternatives for PhD students doing qualitative analysis.

Cover Image for How to code qualitative data: inductive, deductive and abductive approaches explained

How to code qualitative data: inductive, deductive and abductive approaches explained

A practical guide to qualitative coding: what inductive, deductive, and abductive coding are, when to use each, and how AI tools are changing the process.

Cover Image for AI qualitative data analysis checklist: 20 questions before you publish

AI qualitative data analysis checklist: 20 questions before you publish

A practical pre-publication checklist for qualitative research that used AI tools — covering documentation, traceability, transparency, and peer reviewer expectations.

Cover Image for How to write up a thematic analysis: a step-by-step guide with examples

How to write up a thematic analysis: a step-by-step guide with examples

Step-by-step guide to writing up a thematic analysis: how to structure the methods, results and discussion sections, with worked examples and a final submission checklist.

Cover Image for How to write the perfect interview guide - 10 practical tips for preparing your questions

How to write the perfect interview guide - 10 practical tips for preparing your questions

A well-crafted interview guide is the foundation of successful qualitative research. Learn how to structure questions, iterate as you learn, mix question types strategically, and use AI to test your g...

Cover Image for How many interviews do you need for qualitative research? A practical guide to sample size.

How many interviews do you need for qualitative research? A practical guide to sample size.

You're planning to do a series of interviews to gather information to solve a business problem, write an academic paper or perform due diligence. Many researchers and business people strugle to identi...

Cover Image for Thematic analysis: complete guide to methods, steps and applications

Thematic analysis: complete guide to methods, steps and applications

Thematic analysis explained — the six steps, inductive vs deductive coding, sample size guidance, AI-assisted approaches, and applications across academic and business research.