Purpose
NVivo is a software tool that is used for qualitative data analysis and management. It is typically used by researchers in the social sciences, such as sociology, anthropology, and psychology, as well as in fields like education, health, and media studies.
Specific Objectives
- Understanding the basics of NVivo and its interface, including how to navigate the software and perform common tasks.
- Importing and organizing data, including how to import different types of data, organize and structure data, and ensure data quality and integrity.
- Coding and organizing data, including how to create codes and coding frameworks, apply codes to data, and memo data to capture insights and interpretations.
- Query and exploration techniques, including how to use text search, word frequency, and node matrix to explore and analyze data.
- Data visualization, including how to create word clouds, theme networks, and map diagrams to visualize data and identify patterns.
- Advanced analysis techniques, including how to use matrix coding, set-theoretic queries, and model building to conduct more complex analysis.
- Collaboration and project management, including how to work on team projects, manage versions, and collaborate with others using NVivo.
- Best practices for qualitative data management and analysis, including how to plan, conduct, and report on qualitative research, ensure data quality and accuracy, and protect the privacy and confidentiality of research participants.
- Hands-on practice and experience in data management, coding, querying, visualization, analysis, and reporting using NVivo.
- Application of NVivo to different research areas, such as social sciences, education, health, or media studies.
Target Audience
- Researchers and professionals in social sciences, such as sociology, anthropology, psychology, and education, who use qualitative data in their research and need to use NVivo to manage and analyze data.
- Researchers and professionals in fields such as health, media studies, and public policy who use qualitative data in their research and need to use NVivo to manage and analyze data.
- Graduate participant in fields such as sociology, anthropology, psychology, education, health, and media studies who need to learn how to use NVivo for qualitative data analysis.
- Researchers and professionals in non-profit organizations, government agencies, and research institutions who conduct qualitative research and need to use NVivo to manage and analyze data.
- Market researchers, survey researchers, and data analysts who want to expand their skills to include qualitative data analysis.
- Any researcher who want to learn how to use NVivo in managing and analyzing qualitative data, such as interview transcripts, open-ended survey questions, social media data, and content analysis.
Program Outline
Topic 1. Introduction to NVivo and its interface
Overview of NVivo, its features and capabilities, and how to navigate the software and perform common tasks.
Topic 2. Importing and organizing data
Importing different types of data, organizing and structuring data, and ensuring data quality and integrity.
Topic 3. Coding and organizing data
Creating codes and coding frameworks, applying codes to data, and memoing data to capture insights and interpretations.
Topic 4. Query and exploration techniques
Using text search, word frequency, and node matrix to explore and analyze data.
Topic 5. Data visualization
Creating word clouds, theme networks, and map diagrams to visualize data and identify patterns.
Topic 6. Advanced analysis techniques
Using matrix coding, set-theoretic queries, and model building to conduct more complex analysis.
Topic 7. Collaboration and project management
Working on team projects, managing versions, and collaborating with others using NVivo.
Topic 8. Best practices for qualitative data management and analysis
Planning, conducting, and reporting on qualitative research, ensuring data quality and accuracy, and protecting the privacy and confidentiality of research participants.
Topic 9. Hands-on practice and experience
Data management, coding, querying, visualization, analysis, and reporting using NVivo.
Topic 10. Advanced topics
Handling multimedia data, network analysis, sentiment analysis, machine learning, integrating with other software.
Topic 11. Application of NVivo to different research areas
Social sciences, education, health, media studies, or any other field that uses qualitative data.