विश्लेषण के निर्णय लेते हुए ENA सीखें।

33 पाठ

पृष्ठ 4 / 6

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

व्याख्यामध्यवर्ती35 मिनट5 अग॰ 2026

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.

समीक्षित ट्यूटोरियल का मुख्य पाठ अभी अंग्रेज़ी में उपलब्ध है।

effect sizeconfidence intervalcoordinate comparison

ट्यूटोरियल खोलें

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).

शोध रूपरेखामध्यवर्ती35 मिनट6 अग॰ 2026

ENA अकादमी पाठ 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.

समीक्षित ट्यूटोरियल का मुख्य पाठ अभी अंग्रेज़ी में उपलब्ध है।

multiple groupsplanned contrastsmultiplicity

ट्यूटोरियल खोलें

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).

मॉडलिंगमध्यवर्ती35 मिनट7 अग॰ 2026

ENA अकादमी पाठ 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.

समीक्षित ट्यूटोरियल का मुख्य पाठ अभी अंग्रेज़ी में उपलब्ध है।

longitudinal trajectoryshared spacetime ordering

ट्यूटोरियल खोलें

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).

मॉडलिंगमध्यवर्ती35 मिनट8 अग॰ 2026

ENA अकादमी पाठ 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.

समीक्षित ट्यूटोरियल का मुख्य पाठ अभी अंग्रेज़ी में उपलब्ध है।

ordered network analysisdirected edgessequence

ट्यूटोरियल खोलें

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).

डेटा तैयारीमध्यवर्ती35 मिनट10 अग॰ 2026

ENA अकादमी पाठ 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.

समीक्षित ट्यूटोरियल का मुख्य पाठ अभी अंग्रेज़ी में उपलब्ध है।

multimodal dataevent alignmentsensor traces

ट्यूटोरियल खोलें

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).

डेटा तैयारीमध्यवर्ती35 मिनट11 अग॰ 2026

ENA अकादमी पाठ 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.

समीक्षित ट्यूटोरियल का मुख्य पाठ अभी अंग्रेज़ी में उपलब्ध है।

automated codingclassifier validationerror propagation

ट्यूटोरियल खोलें

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