A Step-by-Step Guide to Qualitative Data Coding

Name: A Step-by-Step Guide to Qualitative Data Coding
Brand: Taylor & Francis
Price: 104.75 AUD
Availability: PreOrder

By: Philip Adu

Write A Review

eText | 11 March 2026 | Edition Number 2

At a Glance

Format
ePUB

New Edition

Published: 5th April 2019

eText

$104.75

or 4 interest-free payments of $26.19 with

Available: 11th March 2026

Preorder. Online access available after release.

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings.

The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples. After reading this book, readers will be able to:

Analyze qualitative data and present their findings
Select an appropriate qualitative analysis tool
Decide on the right qualitative coding and categorization strategies for their analysis
Develop relationships among categories/themes
Choose a suitable format for the presentation of the findings

Ideal for qualitative research instructors, students, and social or health science professionals, this guide helps you combine proven methods with emerging AI capabilities.

New to this edition:

Full-color illustrations for greater clarity and engagement
Additional visualizations to help you learn and apply coding techniques
A new chapter on AI-assisted analysis, covering:
Ethical and effective AI use

Prompting strategies for better outputs

How to create your own AI tool for data analysis