saydo - Link What People Say to What They Do with LLM-Coded Themes

Measures the say-do gap in mixed-methods data: whether themes in what people say go with differences in what they do. Codes free text against a codebook with large language models through 'ellmer', or any coder function, and validates the codes against a human-coded sample with Cohen's kappa, precision and recall. Links the codes to participants' behavioural or outcome data, aggregating segment-level transcripts to participants where needed, and tests each theme against each metric with Welch's t-test and multiple-comparison adjustment. Developed by Neudata Consulting Ltd.