विश्लेषण के निर्णय लेते हुए ENA सीखें।

8 पाठ

पृष्ठ 1 / 2

An individual ENA network linked to source evidence. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).

व्याख्यामध्यवर्ती25 मिनट9 अग॰ 2026

Interpret ENA Networks With Qualitative Evidence

Read points, edges, and comparison networks as coordinated model outputs, then return to coded excerpts before writing a bounded claim.

समीक्षित ट्यूटोरियल का मुख्य पाठ अभी अंग्रेज़ी में उपलब्ध है।

network interpretationdifference graphsqualitative evidence

ट्यूटोरियल खोलें

Tan et al. (2024), figure 12 · CC BY 4.0

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

व्याख्याआरंभिक25 मिनट25 जुल॰ 2026

ENA अकादमी पाठ 08

Separate Code Prevalence From ENA Connections

Use the shared synthetic design-talk dataset to practise distinguishing how often a code occurs from how strongly it connects with other codes under the selected window, 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।

code prevalenceconnection weightfrequency audit

ट्यूटोरियल खोलें

Tan et al. (2024), figure 2 · CC BY 4.0

An individual FirstGame ENA network and its point. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).

व्याख्यामध्यवर्ती35 मिनट27 जुल॰ 2026

ENA अकादमी पाठ 10

Inspect Unit Networks and Influential Cases

Use the shared synthetic design-talk dataset to practise determining whether a group-level network pattern is broadly shared or driven by a small number of unusual units, 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।

unit networksinfluential casesoutlier audit

ट्यूटोरियल खोलें

Tan et al. (2024), figure 9 · CC BY 4.0

Difference between the two mean ENA networks. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).

व्याख्यामध्यवर्ती35 मिनट3 अग॰ 2026

ENA अकादमी पाठ 17

Read ENA Subtraction Networks Without Overclaiming

Use the shared synthetic design-talk dataset to practise interpreting a difference graph as edge-wise subtraction between comparable networks in one shared 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।

subtraction networkdifference graphshared node positions

ट्यूटोरियल खोलें

Tan et al. (2024), figure 3 · CC BY 4.0

Source records highlighted within a stanza window. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).

व्याख्याआरंभिक25 मिनट4 अग॰ 2026

ENA अकादमी पाठ 18

Trace Every Interpreted Edge Back to Excerpts

Use the shared synthetic design-talk dataset to practise building a reproducible route from an interpreted network edge to the units, rows, and source excerpts that contributed to it, 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।

excerpt traceabilityedge provenanceinterpretive loop

ट्यूटोरियल खोलें

Tan et al. (2024), figure 13 · CC BY 4.0

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

व्याख्यामध्यवर्ती35 मिनट5 अग॰ 2026

ENA अकादमी पाठ 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.

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