Traceable by design
Every excerpt stores its source and character positions. When you edit a source, later excerpts move with the text. Any excerpt touching the edit is flagged for you to check.
Code interview and survey text, keep a codebook and themes, compare two reviewers, and export reports where every quote traces back to its source. You can anonymise exports too.
Select text, then click a code or press its number.
Every excerpt stores its source and character positions. When you edit a source, later excerpts move with the text. Any excerpt touching the edit is flagged for you to check.
Plain text only. Anonymising replaces the names you list plus detected emails, phone numbers and links. It cannot find every identifying detail, so read exports before sharing. Counts and κ describe coding; they are not findings.
Code interview and survey text, keep a codebook and themes, compare two reviewers, and export reports where every quote traces back to its source. You can anonymise exports too.
The fictional library example has two short interviews coded by two reviewers, so you can see transport and staff themes, differences between coders and how names and an email are replaced in exports.
Excerpts after the edit move with the text. An excerpt that touches the changed text keeps its place in the list and is flagged so you can check it.
By character, per code, across all sources, between the two reviewers you pick. Text neither coded counts as agreement, so read Cohen’s kappa alongside the counts shown.
It replaces the names you list and detected emails, phone numbers and links, and renames sources and reviewers. It cannot recognise every identifying detail, so read exports before sharing. It is not a guarantee of de-identification.
No. It stores and organises the coding you enter and does not invent themes or conclusions. Counts show how often a code was used, not how important it is. Your study’s consent and ethics rules still apply.
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