Introduction:

The Qualitative Data Management and Analysis with NVivo course is designed to provide participants with the skills and knowledge to effectively manage and analyze qualitative data using the NVivo software. NVivo is a powerful qualitative data analysis tool widely used in social sciences, market research, and other fields. This course will cover various techniques and methods for organizing, coding, and analyzing qualitative data using NVivo.

Course Objectives:

• Understand the fundamentals of qualitative research and data analysis.
• Learn how to import, organize, and manage qualitative data in NVivo.
• Develop proficiency in coding and categorizing qualitative data using NVivo.
• Explore different techniques for data analysis, including thematic analysis, content analysis, and grounded theory.
• Gain insights into analyzing multimedia and visual data in NVivo.
• Learn advanced features of NVivo for data exploration and interpretation.
• Practice writing memos, creating reports, and visualizing qualitative data using NVivo.
• Enhance research rigor and validity in qualitative data analysis.

Organizational Benefits:

• Improved data management: Participants will learn effective techniques for organizing and managing qualitative data, leading to enhanced data integrity and accessibility within the organization.
• Enhanced data analysis capabilities: Training employees in NVivo will enable the organization to conduct in-depth qualitative data analysis, leading to more comprehensive insights and evidence-based decision-making.
• Increased research efficiency: NVivo streamlines the qualitative data analysis process, allowing researchers to analyze large volumes of data more efficiently, saving time and resources.
• Consistency in coding and analysis: Using NVivo ensures standardized coding practices and analysis techniques across research projects, improving the consistency and reliability of research findings.
• Collaboration and knowledge sharing: NVivo facilitates collaboration among researchers and teams, enabling seamless sharing and integration of qualitative data and insights.
• Enhanced reporting and visualization: NVivo provides tools for generating reports, visualizations, and presentations, making it easier to communicate qualitative research findings to stakeholders.

Who Should Attend:

• Researchers and scholars involved in qualitative research projects
• Social scientists and anthropologists
• Market researchers and consumer insights professionals
• Policy analysts and evaluators
• Academic researchers and students in qualitative research disciplines
• Professionals involved in qualitative data analysis and interpretation

Duration:

5 days (The module sequence and content can be customized based on specific training needs and objectives.)

Course Outline:

Module 1: Introduction to Qualitative Research

• Understanding qualitative research principles and methodologies
• The role of qualitative data analysis in research

Module 2: Introduction to NVivo

• Overview of NVivo software and its features
• Setting up a project and navigating the NVivo interface

Module 3: Importing and Managing Data in NVivo

• Importing various data types (text, audio, video, images) into NVivo
• Organizing and managing data files and sources in NVivo

Module 4: Coding and Categorizing Data

• Understanding coding and categorization in qualitative analysis
• Creating and applying codes in NVivo
• Organizing codes using codebooks and hierarchies

Module 5: Data Exploration and Querying in NVivo

• Exploring and querying data using NVivo's query tools
• Generating reports and visualizations of data in NVivo

Module 6: Thematic Analysis in NVivo

• Introduction to thematic analysis
• Creating themes and sub-themes in NVivo
• Analyzing and interpreting themes using NVivo tools

Module 7: Content Analysis in NVivo

• Conducting content analysis using NVivo
• Coding and analyzing textual data in NVivo

Module 8: Grounded Theory and NVivo

• Understanding grounded theory methodology
• Using NVivo to support grounded theory analysis

Module 9: Multimedia Data Analysis in NVivo

• Analyzing audio, video, and image data in NVivo
• Transcribing and coding multimedia data

Module 10: Advanced Querying and Visualization in NVivo

• Advanced querying techniques in NVivo
• Visualizing qualitative data using charts and diagrams in NVivo

Module 11: Cross-Referencing and Relationship Analysis

• Creating relationships and links between data in NVivo
• Cross-referencing data for in-depth analysis

Module 12: Framework Analysis in NVivo

• Conducting framework analysis using NVivo
• Applying pre-defined frameworks and matrices in NVivo

Module 13: Analyzing Social Media and Online Data

• Collecting and analyzing social media and online data in NVivo
• Extracting and coding data from online sources

Module 14: Matrix Coding and Comparison in NVivo

• Creating and analyzing matrix coding queries in NVivo
• Comparing themes and codes using matrices in NVivo

Module 15: Auto-Coding and Machine Learning in NVivo

• Using automated coding techniques in NVivo
• Applying machine learning algorithms for coding and analysis

Module 16: Team Collaboration and Interoperability

• Collaborating with team members in NVivo
• Sharing and exporting NVivo projects for interoperability

Module 17: Memos and Annotations in NVivo

• Writing memos and annotations to record analysis notes
• Using memos for reflection and analysis in NVivo

Module 18: Reporting and Presenting Qualitative Data

• Generating reports and summaries of qualitative data in NVivo
• Presenting qualitative findings using NVivo visualizations

Module 19: Visualizing Qualitative Data in NVivo

• Creating visual representations of qualitative data in NVivo
• Using visualizations for data exploration and presentation

Module 20: Literature Review and NVivo

• Conducting literature reviews using NVivo
• Integrating literature into qualitative analysis in NVivo

Module 21: Interpreting and Synthesizing Qualitative Data

• Interpreting and synthesizing qualitative data in NVivo
• Drawing conclusions and making recommendations from qualitative findings

Module 22: Advanced Features and Functions in NVivo

• Exploring advanced features and functions in NVivo
• Customizing NVivo to fit specific research needs

Module 23: Qualitative Data Analysis Best Practices

• Best practices for conducting qualitative data analysis in NVivo
• Ensuring rigor and reliability in qualitative analysis

Module 24: Troubleshooting and Tips for Efficient Analysis

• Troubleshooting common issues in NVivo analysis
• Tips and techniques for efficient data analysis in NVivo

Module 25: Ethics and Confidentiality in Qualitative Analysis

• Ethical considerations in qualitative data analysis
• Maintaining confidentiality and data security in NVivo

Module 26: Data Archiving and Long-term Storage

• Archiving and preserving qualitative data in NVivo
• Strategies for long-term storage and accessibility

Module 27: Mixed Methods Integration with NVivo

• Integrating qualitative and quantitative data in NVivo
• Analyzing and synthesizing mixed methods data

Module 28: Quality Assurance in Qualitative Analysis

• Ensuring quality assurance in qualitative analysis
• Reviewing and validating qualitative findings in NVivo

Module 29: Reporting Research Findings

• Writing research reports and articles based on qualitative analysis
• Presenting qualitative findings to different audiences

Module 30: Future Trends and Advances in Qualitative Analysis

• Emerging trends and advancements in qualitative analysis
• Exploring future possibilities and developments in NVivo

 

General Notes

·         All our courses can be Tailor-made to participants' needs

·         The participant must be conversant in English

·         Presentations are well-guided, practical exercises, web-based tutorials, and group work. Our facilitators are experts with more than 10 years of experience.

·         Upon completion of training the participant will be issued with a Foscore development center certificate (FDC-K)

·         Training will be done at the Foscore development center (FDC-K) centers. We also offer inhouse and online training on the client schedule

·         Course duration is flexible and the contents can be modified to fit any number of days.

·         The course fee for onsite training includes facilitation training materials, 2 coffee breaks, a buffet lunch, and a Certificate of successful completion of Training. Participants will be responsible for their own travel expenses and arrangements, airport transfers, visa application dinners, health/accident insurance, and other personal expenses.

·         Accommodation, pickup, freight booking, and Visa processing arrangement, are done on request, at discounted prices.

·         Tablet and Laptops are provided to participants on request as an add-on cost to the training fee.

·         One-year free Consultation and Coaching provided after the course.

·         Register as a group of more than two and enjoy a discount of (10% to 50%)

·         Payment should be done before commence of the training or as agreed by the parties, to the FOSCORE DEVELOPMENT CENTER account, so as to enable us to prepare better for you.

·         For any inquiries reach us at training@fdc-k.org or +254712260031

 

 

·         Website:www.fdc-k.org