
- 416 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
A Step-by-Step Guide to Qualitative Data Coding
About this book
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
It is a great resource for qualitative research instructors and undergraduate and graduate students who want to gain skills in analyzing qualitative data or who plan to conduct a qualitative study. It is also useful for researchers and practitioners in the social and health sciences fields.
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Information
1
Introduction to qualitative data analysis
- Understand how qualitative research and methods emerged
- Recognize different types of paradigms and their assumptions
- Determine which of the paradigms best fits their beliefs and research approach
EMERGENCE OF QUALITATIVE RESEARCH AS AN ACCEPTABLE RESEARCH INQUIRY
- There are multiple ways of looking at or interpreting an issue (i.e. multiple realities)
- Individualsâ characteristics influence how they see the world or interpret their experience
- All truth or knowledge is linked to a context (i.e. context-bound knowledge)
WHAT IS YOUR PARADIGM?

- A paradigm gatekeeper â fortifying your paradigm boundaries with a strong scholarly response to issues raised by critics (Phillips, 1979)
- A paradigm skeptic â questioning issues in the paradigm you are affiliated with (Patton, 2015)
- A paradigm critic â bringing to light the weakness of a paradigm, and explaining new ideas or research findings (Kuhn, 1996)
- A paradigm explorer â examining, adopting and applying paradigms to carry out your research (Creswell & Poth, 2018)
- The research environment should be free from the âresearcher-participant influenceâ and/or âresearcherâphenomenon of study influenceâ. The study should be free from the researcherâs biases.
- The study should be consistent with a deductive reasoning process where data is collected to test hypotheses.
- There should be testable hypotheses. The hypotheses should contain measurable variables.
- Findings could be generalizable if participants were selected using a probability sampling technique.
- There is a possibility of establishing a cause-and-effect relationship if experimental-related procedures are followed.
ASSUMPTIONS ASSOCIATED WITH THE INTERPRETATIVE PARADIGMS
- Multiple realities: We and potential participants for our study have history (which includes our background, past experiences, beliefs and education) and a present situation. Since past and present experiences differ from one person to another, the way we see the world and interpret our experiences is different. So, in using a qualitative method, it is expected that participants may provide varied descriptions about their experiences and the meaning they make out of them. This supports the assumption that there are multiple interpretations of the world, which are influenced by our history and present situation (Creswell & Poth, 2018).
- Reciprocal influence among researcher, participants and phenomenon of study: Conducting a qualitative study is...
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Dedication
- Brief contents
- Detailed contents
- Exhibits
- Figures
- Tables
- Boxes
- Acknowledgment
- 1 Introduction to qualitative data analysis
- 2 Review of qualitative approaches and their data analysis methods
- 3 Understanding the art of coding qualitative data
- 4 Preparing data to code
- 5 Reflecting on, acknowledging and bracketing your perspectives and preconceptions
- 6 Documenting personal reflections and the analytical process
- 7 Manually assigning codes to data
- 8 Developing categories and themes
- 9 Connecting themes, and developing tables and diagrams
- 10 Using QDA Miner Lite to analyze qualitative data
- 11 Using NVivo 12 to analyze qualitative data
- 12 Using Dedoose to analyze qualitative data
- 13 Presenting qualitative findings
- 14 Ensuring the credibility of the analysis process and findings
- Appendix A
- Appendix B
- Index