Analysis Of Qualitative Data Using QDA Miner
A Kenya Event on 2020-12-07 08:30:00
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
at Fahari Palace Apartment Nairobi kenya
westlands nairobi
Nairobi, Kenya
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