Изучайте ENA через решения об анализе.

33 урока

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ИнтерпретацияСредний35 мин5 авг. 2026 г.

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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Дизайн исследованияСредний35 мин6 авг. 2026 г.

Урок Академии 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.

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multiple groupsplanned contrastsmultiplicity

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МоделированиеСредний35 мин7 авг. 2026 г.

Урок Академии 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.

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longitudinal trajectoryshared spacetime ordering

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МоделированиеСредний35 мин8 авг. 2026 г.

Урок Академии 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.

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ordered network analysisdirected edgessequence

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Подготовка данныхСредний35 мин10 авг. 2026 г.

Урок Академии 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.

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multimodal dataevent alignmentsensor traces

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Подготовка данныхСредний35 мин11 авг. 2026 г.

Урок Академии 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.

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automated codingclassifier validationerror propagation

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