Analysis of Qualitative Data using QDA Miner
Online Training - We have refined out courses to suit the dynamic world and help achieve your objective

Course Date Onsite fees: Location Register
19/08/2024 To 23/08/2024 1,000 USD, 90,000 Ksh Nairobi
04/11/2024 To 08/11/2024 1,000 USD, 90,000 Ksh Nairobi


QDA Miner is a useful tool for qualitative data analysis of interview or focus group transcripts, legal documents, journal articles, speeches, even entire books, as well as drawings, photographs, paintings, and other types of visual documents. QDA Miner is an easy-to-use qualitative data analysis software package for coding, annotating, retrieving and analyzing small and large collections of documents and images. Its seamless integration with SimStat, a statistical data analysis tool, and WordStat, a quantitative content analysis and text mining software, gives you unprecedented flexibility for analyzing text and relating its content to structured information including numerical and categorical data.



Module 1

Introduction to qualitative data analysis

  • Theoretical frameworks: grounded theory, distributed cognition, activity theory
  • Presenting the findings: rigorous notations, stories, summaries

Introduction to QDA Miner

  • Installation Instructions
  • Project Structure
  • The Working Environment


Data and Text Management

  • Opening an Existing Project
  • Creating a Project from a List of Documents
  • Creating a Blank Project
  • Importing an Existing Data File
  • Importing Existing Documents as a New Project
  • Project Description and Notes
  • Working with Menu Levels
  • Security & Multi-users Settings


Managing Variables

  • Adding New Variables
  • Appending Variables from an External Data File
  • Deleting Existing Variables
  • Changing Variable Types
  • Recoding Values
  • Editing Variable Properties
  • Computing Variables Statistics


Managing Cases

  • Adding and Deleting Cases
  • Appending New Documents and Images
  • Adding New Cases from a Data File
  • Filtering Cases


Module 2

Project Management Tasks

  • Creating a Duplicate copy of a project
  • Sending a Project by E-mail
  • Exporting Selected Cases to a New Project
  • Exporting Coded Segments
  • Exporting Documents
  • Setting the Cases Descriptor and Grouping
  • Importing a Document into a Case
  • Importing an Image in a Case
  • Archiving a Project
  • Using the Temporary Session Backup
  • Merging Projects
  • Clearing all code assignments
  • Retrieving Misplaced Codes
  • Using the Command Log


Managing the Codebook

  • Adding a Code
  • Modifying Codes
  • Deleting Existing Codes
  • Moving Codes
  • Splitting a Code
  • Merging Codes
  • Virtually grouping codes
  • Importing a Codebook
  • Printing the Codebook


Module 3

Coding Documents and Images

  • Assigning Codes to Text Segments
  • Assigning Codes to Images
  • Working with Code Marks
  • Attaching a Comment to a Coded Segment
  • Removing Coded Segments
  • Changing the Code Associated with a Segment
  • Resizing Coded Segments
  • Hiding Code Marks
  • Highlighting and Hiding Coded Segments
  • Modifying Code Mark Color Scheme
  • Searching and Replacing Codes
  • Consolidating Coded Segments


Module 4

Coding Analysis

  • Saving and Retrieving Queries
  • Text Retrieval
  • Thesaurus Editing
  • Queby by Example
  • Section Retrieval
  • Keyword Retrieval
  • Coding Frequencies
  • Coding Retrieval
  • Coding Co-occurrences
  • Clustering Cases
  • Clustering Codes
  • Dendrogram
  • 2d and 3d Concept Maps
  • Proximity Plot
  • Code Sequence Analysis
  • Coding by Variables
  • Barchart or Line Chart
  • Heatmap Plot


Module 5

Coding Analysis (c’tnd)

  • Correspondence Analysis
  • Bubble Charts
  • Assessing Inter-coders Agreement
  • Content Analysis
  • Statistical Analysis
  • Automatic Text Classification
  • Storing Code Statistics into Numeric Variables
  • Exporting Code Statistics
  • Exporting Co-occurrence or Similarity Matrix
  • Retrieving a List of Comments
  • Coding Text Segments Using the Coding Table
  • Managing Outputs with the Report Manager




This training can also be customized for your institution upon request. You can also have it delivered your preferred location.

For further inquiries, please contact us through Mobile: +254 732 776 700 or Email:



Participants should be reasonably proficient in English.  During the trainings, participants should come with their own laptops.



The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.



Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 or Email:



Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email:



  • All requests for cancellations must be received in writing.
  • Changes will become effective on the date of written confirmation being received.



Call us on +254 732 776 700/ +254 759 285 295
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