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Quotes and Tags

In Leapfrog, quotes and tags provide a structured way to label and organize segments of your research data for analysis. This system enables efficient categorization, pattern recognition, and insight extraction.

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Tagging Workflow Overview

Leapfrog implements a grounded theory approach to qualitative research, enabling researchers to systematically identify and analyze themes in their data. The quoting and tagging workflow consists of these key steps:
  1. Identify relevant segments in your transcripts or documents
  2. Create quotes by selecting text
  3. Apply tags to categorize these quotes
  4. Analyze the tagged data through visualization and filtering
This structured approach reduces cognitive load when working with large datasets and facilitates more effective analysis.

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Creating Quotations

To create a quotation:
  1. Select text in your document
  2. Click the quotation button in the toolbar
  3. The selected text is now marked as a quotation
  4. (Optional) Add a tag to the quote immediately, or tag it later
Quotations serve as the foundational units of your qualitative analysis, marking specific statements, observations, or insights that are relevant to your research.

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Creating and Managing Tags

Tags are categorical labels that help organize quotes into meaningful groups. Each tag in Leapfrog:
  • Has a unique name and color
  • Can be applied to multiple quotes across different documents
  • Acts as a “bucket” to collect related information
  • Can be filtered, sorted, and visualized
To create and apply tags:
  1. Select text in your document
  2. Click the tag button in the toolbar
  3. Either:
    • Choose an existing tag from the dropdown
    • Create a new tag by typing a name and selecting a color
  4. The text is now tagged and can be analyzed alongside similarly tagged content

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Code Management

Your codes (the combined system of quotes and tags) are stored at the workspace level, making them accessible across all documents within a workspace. This enables cross-document analysis and pattern identification. The Codes Page provides:
  • A centralized view of all tags in your workspace
  • Statistics on tag frequency and distribution across documents
  • Options to rename, merge, or delete tags
  • Filtering capabilities to focus on specific subsets of tags

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Tag Visualization and Analytics

Leapfrog provides visualization tools to analyze your coded data:

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Tag Charts

  • View distribution of tags across your research data
  • Identify frequency patterns and relationships between tags
  • Filter and group tags based on custom criteria

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Tag Lists

  • Browse all quotes associated with specific tags
  • Jump directly to the source document and context
  • Export tagged content for further analysis

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Field Value Filtering

  • Filter tags based on document field values
  • Create complex queries to identify patterns across different variables
  • Combine filters to perform intersectional analysis

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Best Practices

  • Create a consistent tagging scheme before beginning analysis
  • Use concise, clear tag names that directly convey the theme
  • Consider creating a hierarchical structure for related tags
  • Regularly review and refine your tags to ensure consistency
  • Use the Codes Page to identify and merge duplicate or similar tags