透過分析決策學習 ENA。

重設

9 節課

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FirstGame ENA points, mean, and confidence interval. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
建模中階35 分鐘2026年7月29日
ENA 學院課程 12

Quantify Uncertainty Around ENA Comparisons

Use the shared synthetic design-talk dataset to practise representing the sampling uncertainty around group locations, edge differences, and effect estimates instead of treating plotted means as exact, 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。

uncertaintybootstrapconfidence interval
開啟教程
FirstGame mean network and ENA points. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
建模中階35 分鐘2026年7月30日
ENA 學院課程 13

Use Means Rotation for a Prespecified Two-Group Question

Use the shared synthetic design-talk dataset to practise deciding when the first ENA axis should align with the difference between exactly two prespecified group means, 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。

means rotationtwo-group contrastMR1
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Mean network for all units in the expert model. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
建模中階35 分鐘2026年7月31日
ENA 學院課程 14

Interpret SVD Dimensions and Co-registration

Use the shared synthetic design-talk dataset to practise understanding what SVD axes summarize and whether network node positions are aligned well enough with projected unit coordinates for 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。

singular value decompositionco-registrationvariance explained
開啟教程
Constructing an ENA model in rENA. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
建模中階35 分鐘2026年8月1日
ENA 學院課程 15

Reproduce an ENA Model Across Implementations

Use the shared synthetic design-talk dataset to practise checking whether two ENA implementations produce equivalent accumulated connections, normalized vectors, projections, and interpretations under matched settings, 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。

cross-implementation parityrENAjENA
開啟教程