通过分析决策学习 ENA。

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33 节课

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解释中级35 分钟2026年8月5日
ENA 学院课程 19

Report ENA Effect Sizes and Intervals

Use the shared synthetic design-talk dataset to practise reporting the magnitude and uncertainty of planned ENA coordinate contrasts alongside plots and p-values, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

经审核的教程正文目前以英文提供。

effect sizeconfidence intervalcoordinate comparison
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研究设计中级35 分钟2026年8月6日
ENA 学院课程 20

Plan Multiple-Group ENA Contrasts and Multiplicity

Use the shared synthetic design-talk dataset to practise comparing three or more groups without forcing them into a two-group means rotation or reporting every favorable pairwise difference, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

经审核的教程正文目前以英文提供。

multiple groupsplanned contrastsmultiplicity
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建模中级35 分钟2026年8月7日
ENA 学院课程 21

Build Longitudinal ENA Trajectories in One Space

Use the shared synthetic design-talk dataset to practise representing successive network states as ordered paths while keeping every time point co-registered in one analytic space, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

经审核的教程正文目前以英文提供。

longitudinal trajectoryshared spacetime ordering
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建模中级35 分钟2026年8月8日
ENA 学院课程 22

Choose Directed or Ordered Network Analysis When Sequence Matters

Use the shared synthetic design-talk dataset to practise deciding whether the research question concerns undirected association, directed ordering, or a stricter transition process, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

经审核的教程正文目前以英文提供。

ordered network analysisdirected edgessequence
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数据准备中级35 分钟2026年8月10日
ENA 学院课程 23

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.

经审核的教程正文目前以英文提供。

multimodal dataevent alignmentsensor traces
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数据准备中级35 分钟2026年8月11日
ENA 学院课程 24

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.

经审核的教程正文目前以英文提供。

automated codingclassifier validationerror propagation
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