INDEPENDENT LEARNING GUIDE · FREE SOFTWARE

Make sense of your qualitative data.

A practical home for people learning and using QualCoder: from your first coded interview to a defensible analysis of a complex project.

QualCoder.net is an independent educational resource, not the official QualCoder project.

TEXTIMAGESAUDIO + VIDEOMEMOSCASESREPORTS

01 / GET ORIENTED

Start small. Code deliberately.

CAQDAS means computer-assisted qualitative data analysis software. QualCoder helps organize and retrieve evidence; your research question and judgment give it meaning.

01

Install and open

Get the current stable release from the official releases page. Check its platform notes before installing; a beta may also appear above the stable release.

Official releases ↗
02

Make a pilot project

Import one or two short sources. Give files clear names and keep the working project on a local drive. Make a separate backup copy regularly.

Read the documentation ↗
03

Code, memo, revise

Start with a few meaningful codes. Note what each code includes and excludes. Revisit early passages after the codebook changes.

See the workflow ↓

02 / THE WORK

A coding workflow you can defend.

Use these as checkpoints, whether you favor reflexive thematic analysis, grounded theory, content analysis, or a mixed approach. Adapt each step to your method.

1 · Frame

Define the question

Write the purpose, unit of analysis, sampling boundaries, and your starting assumptions.

2 · Prepare

Organize sources

Use consistent file names, remove identifiers when appropriate, and record source context.

3 · Explore

Read before coding

Write first impressions in a journal. Pilot a small sample before building a large code tree.

4 · Code

Mark the evidence

Code meaningful segments; attach memos explaining ambiguous or consequential choices.

5 · Challenge

Look for alternatives

Inspect uncoded text, competing readings, overlaps, exceptions, and differences across cases.

6 · Explain

Build the account

Use reports and retrieved passages to connect claims back to sources; preserve an audit trail.

Ten habits that save time

Pilot first · keep a reflexive journal · define codes in plain language · distinguish description from interpretation · use cases early · avoid a needlessly deep code tree · inspect uncoded material · seek negative cases · export checkpoints · back up a closed project.

03 / QUALCODER + CHATGPT

Let AI propose. Let the researcher decide.

QualCoder includes AI-assisted features, and ChatGPT can serve as a separate coding helper, critic, and editor. Keep the source material, the model's suggestion, and your final decision distinguishable.

As a coding helper

  • Suggest candidate codes for a short, permitted excerpt.
  • Draft code definitions with inclusion and exclusion rules.
  • Compare two possible ways to code an ambiguous passage.
  • Propose questions for a second reading.

As a critic and editor

  • Find overlapping or inconsistent definitions.
  • Ask where an interpretation outruns its evidence.
  • Look for missing or contradictory cases.
  • Check whether a theme tells a coherent story.

TRY THIS PROMPT

“Here is my research question, code definition, and a de-identified passage. Offer two plausible coding interpretations, evidence for and against each, and one question I should answer before deciding. Do not make the final coding decision for me.”

Before sending participant material to an AI service, follow your consent, institutional review, confidentiality, and data handling requirements. Document which tool and prompt you used, what it returned, and what you changed.

04 / THE READING DESK

Books beside the codebook.

Three covers shared by Professor Halstead: methods, hands-on practice, and an emerging AI-assisted workflow.

Cover of The Coding Manual for Qualitative Researchers
Methods foundationJohnny Saldaña’s The Coding Manual for Qualitative Researchers is a guide to coding choices and cycles. Check the publisher for the current edition.
Cover of The Qualitative Coding Workbook
Practice and exercisesUse a workbook to rehearse coding decisions, memoing, comparison, and revision on a small sample.
Cover of Qualitative Data Analysis with ChatGPT and QualCoder
AI-assisted analysisExplore what AI can suggest while keeping interpretation, verification, and accountability with the researcher.

Professor Halstead observes that QualCoder is absent from his copy of Saldaña’s fifth edition; this is his observation, not an independently verified survey of the book.

05 / KEEP LEARNING

Go to the source.

For installation details and software behavior, rely on the project’s own documentation. The older wiki is useful background, but its newer documentation is the main reference for recent versions.

Further reading

Saldaña, The Coding Manual for Qualitative Researchers

Braun & Clarke, Thematic Analysis: A Practical Guide

For a broader CAQDAS perspective, compare documentation and training resources for other packages such as MAXQDA, ATLAS.ti, and NVivo.

ABOUT THIS PROJECT

For people doing the thinking behind the coding.

QualCoder.net was created by Professor Tommy Halstead (@ModelSimProfessor) for colleagues at Purdue Global, students at Harvard and GCU, tutoring clients across more than 200 colleges and universities, and diplomats, executives, mediators, negotiators, and arbitrators.

Questions? Write to Tom.Halstead@my.gcu.edu or BahaiHalstead@gmail.com. So much for fooling the bots. ;=)