Analysis of Qualitative Data using QDA Miner

Course date: 04/05/2020 to 08/05/2020 Duration: 5 Days Course fee: USD 800, KES 65,000

Introduction

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.

 

COURSE OUTLINE

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

 

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TRAINING CUSTOMIZATION

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: training@fineresultsresearch.org

 

REQUIREMENTS

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

 

TRAINING FEE

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

 

ACCOMMODATION

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

 

PAYMENT

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

 

CANCELLATION POLICY

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

 

 

Course Date: 04/05/2020 to 08/05/2020 Duration: 5 Days Course fee: USD 800 , KES 65,000
Call us on +254 732 776 700/ +254 759 285 295
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