This short video demonstrates the utility of Matrices in NVivo for MAC
Summary
This YouTube video demonstrates how to create and use a matrix in the Mac version of NVivo software. The process includes aggregating codes, intersecting nodes, and analysing sentiment distribution across themes. The interface is similar to the Windows version, and users can save, export, and visually enhance their results in various formats.
Highlights
- 📊 Creating a Matrix: Demonstrates how to create a matrix in NVivo by aggregating codes and intersecting nodes, useful for analysing different data sets.
- 🔄 Intersecting Data: Explains how to intersect various types of data, such as themes and sentiment codes, to visualize relationships and patterns.
- 💻 Interface Similarity: Notes that the NVivo interface is similar on both Mac and Windows, with slight functional differences.
- 💾 Saving and Exporting Results: Describes how to save and export the matrix results to Excel, SPSS, or other formats for further analysis and presentation.
- 🎨 Visual Enhancements: Highlights the ability to add colour and change values in the cells to better interpret and present data.
Key Moments
- Introduction to Matrix in Mac Version of NVivo00:06
- Overview of matrix functionality.
- Demonstrating a simple matrix example.
- Aggregating broad-brush codes.
- Intersection of Codes in NVivo00:57
- Explanation of matrix intersections.
- Using matrices for cross-case analysis.
- Example of intersecting attitudinal codes with broad themes.
- Creating a Matrix Coding Query01:34
- Interface similarities between Windows and Mac versions.
- Steps to create a new matrix coding query.
- Selecting thematic nodes and sentiment nodes.
- Running and Analysing the Query02:59
- Running the query to get results.
- Analysing sentiment distribution across themes.
- Customizing the table with colours and values.
- Exporting and Presenting Results04:19
- Exporting the matrix to Excel or SPSS.
- Enhancing presentation with models and flowcharts.
- Saving and recalling matrix results from the results’ folder.
