Find the nodes that I've used to code Interview with Franz and Interview with Vikram.
The items could be associated by coding, attribute value, relationships, 'see also' links or maps. This query measures the 'inter-rater reliability' or the degree of agreement for coding done by selected users.Ĭompare coding between users in different locations or from different disciplines who are coding the same data in order to check the consistency of their coding.įind items that are associated in a particular way with other items.
Find content where the words habitat and sustainable occur in the same paragraph.Ĭompare coding done by two users or two groups of users.
Find content where the term rising sea temperature precedes content coded at coral.
Search for two words that occur in the same paragraph (or other specified context).
Combine a text search query with a coding query.
Check how many interview respondents (with particular attributes) refer to a topic or theme.
Check how often interview respondents refer to a particular topic or issue.
Explore how tourism is related to a range of themes including water quality, real estate development and environmental change.Ĭheck how coding is distributed across the cases, or different types of cases in your project.
Compare the positive and negative attitudes of interview participants to a range of local council services.
Show me where content coded at coral bleaching is near content coded at rising sea temperatures.įind the coding intersections or co-occurrence of themes in your project and display this in a matrix.
What do property developers say about rising sea levels?-run a query to gather content that has been coded at rising sea levels and at cases with the attribute property developer.
Find the most frequently occurring themes in a document-where similar words are grouped into concepts.įind all content coded at selected nodes, a combination of nodes, or a combination of nodes and attributes.
Look for the most frequently occurring words in a set of interviews.
Find all references to river, and find similar words such as stream, Nile, watercourse.įind the most frequently occurring words or concepts.
Find content where the terms rising sea level and property occur within 20 words of each other.
Find the words policy or legislation and code them at the new node government.
Move forward with queries visualizations What are the different queries? Queryįind all occurrences of a word, phrase, or concept.
Ask questions and find patterns based on your coding and check for coding consistency among team members.Ĭreate quick and simple queries to get a sense of what is happening in the data, or build detailed queries for a more focused perspective.
Find and analyze the words or phrases in your files and nodes.
Queries help you to explore your data and investigate hunches as you progress through your project.