Analysis of Qualitative Data using QDA Miner
Details
Date: Event
05th -09th /04/2021 : Analysis of Qualitative Data using QDA Miner
24th -28th /05/2021: Analysis of Qualitative Data using QDA Miner
21st – 25th /06/2021: Analysis of Qualitative Data using QDA Miner
19th – 23rd /07/2021 : Analysis of Qualitative Data using QDA Miner
Venue: FineResults Research Services, Nairobi, Kenya Training Centre.
Click to Register: Physical class USD 800
: Online Training USD 700
Contact us: email: [email protected] or Cell phone (+254 759 285 295)
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 Sims tat, 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
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: (+254 759 285 295) or Email: [email protected]
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: (+254 759 285 295)
Or Email: [email protected]
PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: [email protected]
CANCELLATION POLICY
- All requests for cancellations must be received in writing.
- Changes will become effective on the date of written confirmation being received.
Visit our website for more details
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Payment should be transferred toFineResults Research Services account through bank on or before C.O.B. 3rd April 2021
Send proof of payment to [email protected]
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FineResults Research Services offers training solutions to individuals, communities, governments and civil society organizations, both local and international.
We also provide application-oriented and field-based consultancy services in all aspects of research and evaluations from inception to completion. This includes research designs, designing monitoring and evaluations systems, technical reviews, programme evaluations, questionnaire validation, data collection, data capture, data analysis and report writing. FineResults Research Services is a limited company incorporated under the laws of Kenya. Its head office is in Nairobi Kenya.
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