분석 결정을 내리며 ENA를 배우세요.

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FirstGame ENA points, mean, and confidence interval. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
모델링중급35 분2026년 7월 29일
ENA 아카데미 수업 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.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

uncertaintybootstrapconfidence interval
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FirstGame mean network and ENA points. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
모델링중급35 분2026년 7월 30일
ENA 아카데미 수업 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.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

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).
모델링중급35 분2026년 7월 31일
ENA 아카데미 수업 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.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

singular value decompositionco-registrationvariance explained
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Constructing an ENA model in rENA. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
모델링중급35 분2026년 8월 1일
ENA 아카데미 수업 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.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

cross-implementation parityrENAjENA
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