Module 1: Introduction to Qualitative Research & NVivo

• Fundamentals of Qualitative Research: Principles, approaches, and methods.
• The Role of CAQDAS: How software assists qualitative analysis.
• Introduction to NVivo: Interface tour and basic functionalities.
• Setting up your Research Question and Framework: Preparing for analysis.
• Understanding Project Files: NVivo project structure and organization.
• Practical session: Navigating the NVivo interface and creating a new NVivo project.

Module 2: Setting up Your NVivo Project

• Creating a New Project: Project properties and setup.
• Understanding Sources and Nodes: Core NVivo elements.
• Creating Memos and Annotations: Documenting your analytical process.
• Managing Your Project: Saving, backing up, and compressing projects.
• Importing Existing Research Materials: Transcripts, documents, PDFs.
• Practical session: Creating a new project, setting project properties, and importing initial text documents.

Module 3: Importing and Organizing Data

• Importing Text Documents: Interviews, focus group transcripts, literature reviews.
• Importing Audio and Video Files: Working with multimedia data.
• Importing Social Media Data: Tweets, Facebook posts, YouTube comments (if applicable).
• Importing Survey Data: Managing open-ended responses from surveys.
• Organizing Data with Folders and Sets: Efficient project management.
• Practical session: Importing diverse data types (e.g., a transcript, an image, a PDF) into an NVivo project and organizing them into folders.

Module 4: Initial Coding and Node Management

• Introduction to Coding: The process of assigning themes to data.
• Creating Nodes (Codes): Tree Nodes, Free Nodes.
• Coding Techniques: In-vivo coding, descriptive coding, process coding.
• Auto Coding (Basic): Leveraging NVivo's automated coding features for initial exploration.
• Managing Nodes: Merging, renaming, deleting, and organizing nodes.
• Practical session: Performing initial manual coding on a provided text document, creating new nodes and refining existing ones.

Module 5: Advanced Coding Techniques

• Coding for Themes and Sub-themes: Developing a hierarchical coding structure.
• Relationship Nodes: Linking concepts and ideas within your data.
• Case Nodes: Coding by participant or entity (e.g., individual, organization).
• Memos and Annotations Revisited: Richer documentation of thoughts and insights.
• Coding Strips and Highlighting: Visualizing coded content.
• Practical session: Developing a more complex coding framework with sub-themes and relationship nodes, applying advanced coding.

Module 6: Working with Cases and Classifications

• Understanding Cases: Representing people, places, or other units of analysis.
• Creating Case Classifications: Grouping cases by attributes (e.g., age, gender, role).
• Assigning Attributes to Cases: Importing demographic or background information.
• Matrix Coding Queries for Case Attributes: Analyzing codes by demographics.
• Exploring Data by Cases: Comparing experiences across different groups.
• Practical session: Creating case nodes for interview participants, assigning attributes, and running a simple matrix coding query.

Module 7: Queries and Exploring Your Data

• Text Search Queries: Finding specific words or phrases.
• Word Frequency Queries: Identifying prominent terms.
• Coding Queries: Exploring where specific codes appear.
• Matrix Coding Queries: Intersecting codes or codes with attributes.
• Compound Queries: Combining multiple queries for deeper analysis.
• Practical session: Running various types of queries (e.g., text search, word frequency, coding query) on your project data to identify initial patterns.

Module 8: Visualizing and Presenting Findings

• Node Maps: Visualizing relationships between codes.
• Mind Maps: Structuring your ideas and findings.
• Charts and Graphs: Creating visual summaries of coding patterns.
• Hierarchy Charts: Showing the structure and volume of coded data.
• Exporting Data and Visualizations: Preparing for reporting.
• Practical session: Generating and interpreting different charts and maps within NVivo to visualize emerging themes and relationships.

Module 9: Collaborative Projects and Data Security

• Setting up Multi-User Projects: Working with teams in NVivo.
• Merging Projects: Combining individual work into a master project.
• Best Practices for Team Coding: Ensuring consistency and reliability.
• Data Security and Privacy: Protecting sensitive qualitative data.
• Ethical Considerations in CAQDAS Use: Responsible data management.
• Practical session: Discussing strategies for collaborative coding and practicing merging small individual projects.

Module 10: Advanced Features and Mixed Methods

• Auto Coding Themes and Sentiment (Advanced): Leveraging NVivo's AI features.
• Crosstab Queries: Advanced tabular analysis of data.
• Framework Matrices: Summarizing data for case-based analysis.
• Mixed Methods Integration: Bringing quantitative data into NVivo for combined analysis.
• Reporting and Publication with NVivo: Presenting your findings effectively.
• Practical session: Exploring NVivo's mixed methods features by importing a simple dataset and linking it to qualitative data for integrated analysis.

Requirements:

·       Participants should be reasonably proficient in English.

·       Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588