분석 결정을 내리며 ENA를 배우세요.

33 개 수업

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SecondGame ENA points, mean, and confidence interval. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).

해석중급35 분2026년 8월 5일

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.

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effect sizeconfidence intervalcoordinate comparison

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Tan et al. (2024), figure 6 · CC BY 4.0

Mean network comparison with both groups' ENA points. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).

연구 설계중급35 분2026년 8월 6일

ENA 아카데미 수업 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.

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multiple groupsplanned contrastsmultiplicity

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Tan et al. (2024), figure 8 · CC BY 4.0

Novice networks projected into the expert space. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).

모델링중급35 분2026년 8월 7일

ENA 아카데미 수업 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.

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longitudinal trajectoryshared spacetime ordering

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Tan et al. (2024), figure 28 · CC BY 4.0

FirstGame mean ordered network (ONA). Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).

모델링중급35 분2026년 8월 8일

ENA 아카데미 수업 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.

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ordered network analysisdirected edgessequence

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Tan et al. (2024), figure 14 · CC BY 4.0

RescuShell tutorial dataset: first three records. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).

데이터 준비중급35 분2026년 8월 10일

ENA 아카데미 수업 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.

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multimodal dataevent alignmentsensor traces

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Tan et al. (2024), tutorial example · CC BY 4.0

Binary code columns in the tutorial dataset. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).

데이터 준비중급35 분2026년 8월 11일

ENA 아카데미 수업 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.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

automated codingclassifier validationerror propagation

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Tan et al. (2024), tutorial example · CC BY 4.0