Prepare Coded Discourse Data for ENA
Turn ordered qualitative records into an auditable ENA table with complete unit, conversation, raw-evidence, and binary code fields.
經審核的教程正文目前以英文提供。
開啟教程透過分析決策學習 ENA。
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Audit Coding Reliability and Consensus Before ENA
Use the shared synthetic design-talk dataset to practise testing whether the codebook is applied consistently enough for connections among codes to have a stable interpretation, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.
經審核的教程正文目前以英文提供。
開啟教程Prepare Multimodal Events for ENA
Use the shared synthetic design-talk dataset to practise aligning speech, action, sensor, screen, or spatial events on a defensible common timeline before modeling cross-modal connections, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.
經審核的教程正文目前以英文提供。
開啟教程Validate Automated Codes Before They Enter ENA
Use the shared synthetic design-talk dataset to practise evaluating whether model-generated labels are accurate enough for relational analysis and how classification errors propagate into edges, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.
經審核的教程正文目前以英文提供。
開啟教程Handle Missing Data and Exclusions Transparently
Use the shared synthetic design-talk dataset to practise distinguishing a true code absence, an all-zero observed unit, an unobserved period, a malformed row, and an excluded case, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.
經審核的教程正文目前以英文提供。
開啟教程Define a Zero-Network Policy Before Modeling
Use the shared synthetic design-talk dataset to practise handling units that have observed rows but no modeled code co-occurrences under the chosen window and code set, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.
經審核的教程正文目前以英文提供。
開啟教程