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  "Description": "Measures the say-do gap in mixed-methods data: whether\nthemes in what people say go with differences in what they do.\nCodes free text against a codebook with large language models\nthrough 'ellmer', or any coder function, and validates the\ncodes against a human-coded sample with Cohen's kappa,\nprecision and recall. Links the codes to participants'\nbehavioural or outcome data, aggregating segment-level\ntranscripts to participants where needed, and tests each theme\nagainst each metric with Welch's t-test and multiple-comparison\nadjustment. Developed by Neudata Consulting Ltd.",
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