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  "Title": "Visualise the Path to a Stopping Point in Qualitative Interviews\nBased on Novel Codes",
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  "Description": "In semi-structured interviews that use the 'framework'\nmethod, it is not always clear how refinements to interview\nquestions affect the decision of when to stop interviews. The\ntrend of 'novel' and 'duplicate' interview codes (novel codes\nare information that other interviewees have not previously\nmentioned) provides insight into the richness of qualitative\ninformation. This package provides tools to visualise when\nrefinements occur and how that affects the trends of novel and\nduplicate codes. These visualisations, when used progressively\nas new interviews are finished, can help the researcher to\ndecide on a stopping point for their interviews. For context,\nsee Wong et al., (2023) <doi:10.1177/16094069231220773>.",
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  "Date/Publication": "2025-11-07 03:15:23 UTC",
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      "title": "Import field notes from an Excel spreadsheet",
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        "import_field_notes"
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      "title": "Plot novelty of interviews over time",
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      "title": "Plot richness of interview codes over time",
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      "title": "Reshape score matrix for ggplot2.",
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      "headings": [
        "Aim of this document",
        "What is novelqualcodes?",
        "Installing novelqualcodes",
        "Step 1. Install R",
        "Step 2. Run an R editor",
        "Step 3. Install novelqualcodes",
        "Step 4. Attach the package to the session",
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        "Field notes (of refinements)",
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