Matrices are very powerful for intersecting or cross-tabulating items in your database. This example looks at cross-referencing interviews with a coding scheme to do an in-case-or cross case analysis but you can use matrices to cross-references nodes with each other to check for co-occurrences or to consider nodes with demographic/profiling information from participants or even closed and open questions in a questionnaire. Matrices offer a strategic view of data that you could not get by say, reading through the contents of a code, because they reveal previously unseen patterns in your data.
Summary
This video tutorial introduces Matrix Coding Queries in NVivo, which are a basic form of cross-tabulation allowing users to analyze data by different attributes. Matrix coding queries can be used for both quantitative and qualitative analysis, making them useful for surveys and quick data exploration. The tutorial demonstrates how to set up a matrix coding query by selecting data scope, row items, and column items. It also explains how to switch from coding references to words coded for a more detailed analysis. Matrix coding queries can help researchers explore and analyze data in-depth and are not limited to cross-tabulating codes. Additionally, they offer options for adding attribute values and visualizing data using charts.
Highlights
- 📊 Matrix Coding Queries in NVivo allow for cross-tabulation analysis.
- 📈 Useful for both quantitative and qualitative data analysis, including surveys.
- 📌 Tutorial explains setting up a query by selecting data scope, row items, and column items.
- 🔄 Switching from coding references to words coded provides more detailed analysis.
- 🗂 Not limited to cross-tabulating codes; can include different data items.
- 📊 Options for adding attribute values and visualizing data with charts.
- 💡 A valuable tool for exploring and analyzing data in research.
