Aprenda ENA tomando as decisões da análise.

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SecondGame ENA points, mean, and confidence interval. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
InterpretaçãoIntermédio35 min5 de ago. de 2026
Lição da Academia ENA 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.

O corpo do tutorial revisto está atualmente disponível em inglês.

effect sizeconfidence intervalcoordinate comparison
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Mean network comparison with both groups' ENA points. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
Desenho de investigaçãoIntermédio35 min6 de ago. de 2026
Lição da Academia ENA 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.

O corpo do tutorial revisto está atualmente disponível em inglês.

multiple groupsplanned contrastsmultiplicity
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Novice networks projected into the expert space. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
ModelaçãoIntermédio35 min7 de ago. de 2026
Lição da Academia ENA 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.

O corpo do tutorial revisto está atualmente disponível em inglês.

longitudinal trajectoryshared spacetime ordering
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FirstGame mean ordered network (ONA). Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
ModelaçãoIntermédio35 min8 de ago. de 2026
Lição da Academia ENA 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.

O corpo do tutorial revisto está atualmente disponível em inglês.

ordered network analysisdirected edgessequence
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RescuShell tutorial dataset: first three records. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
Preparação de dadosIntermédio35 min10 de ago. de 2026
Lição da Academia ENA 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.

O corpo do tutorial revisto está atualmente disponível em inglês.

multimodal dataevent alignmentsensor traces
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Binary code columns in the tutorial dataset. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
Preparação de dadosIntermédio35 min11 de ago. de 2026
Lição da Academia ENA 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.

O corpo do tutorial revisto está atualmente disponível em inglês.

automated codingclassifier validationerror propagation
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