透過分析決策學習 ENA。

8 節課

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

詮釋中階25 分鐘2026年8月9日

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.

經審核的教程正文目前以英文提供。

network interpretationdifference graphsqualitative evidence

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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).

詮釋入門25 分鐘2026年7月25日

ENA 學院課程 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.

經審核的教程正文目前以英文提供。

code prevalenceconnection weightfrequency audit

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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).

詮釋中階35 分鐘2026年7月27日

ENA 學院課程 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.

經審核的教程正文目前以英文提供。

unit networksinfluential casesoutlier audit

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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).

詮釋中階35 分鐘2026年8月3日

ENA 學院課程 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.

經審核的教程正文目前以英文提供。

subtraction networkdifference graphshared node positions

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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).

詮釋入門25 分鐘2026年8月4日

ENA 學院課程 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.

經審核的教程正文目前以英文提供。

excerpt traceabilityedge provenanceinterpretive loop

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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).

詮釋中階35 分鐘2026年8月5日

ENA 學院課程 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.

經審核的教程正文目前以英文提供。

effect sizeconfidence intervalcoordinate comparison

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