Open ENA — Epistemic Network Analysis

분석 결정을 내리며 ENA를 배우세요.

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Binary code columns in the tutorial dataset. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
데이터 준비중급35 분2026년 7월 23일
ENA 아카데미 수업 06

Audit Coding Reliability and Consensus Before ENA

Use the shared synthetic design-talk dataset to practise testing whether the codebook is applied consistently enough for connections among codes to have a stable interpretation, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

coding reliabilityconsensus codingcodebook revision
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Tan et al. (2024), tutorial example · CC BY 4.0

RescuShell tutorial dataset: first three records. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
데이터 준비중급35 분2026년 8월 10일
ENA 아카데미 수업 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.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

multimodal dataevent alignmentsensor traces
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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).
데이터 준비중급35 분2026년 8월 11일
ENA 아카데미 수업 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.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

automated codingclassifier validationerror propagation
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Tan et al. (2024), tutorial example · CC BY 4.0

An individual SecondGame ENA network and its point. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
데이터 준비입문25 분2026년 8월 13일
ENA 아카데미 수업 25

Handle Missing Data and Exclusions Transparently

Use the shared synthetic design-talk dataset to practise distinguishing a true code absence, an all-zero observed unit, an unobserved period, a malformed row, and an excluded case, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

missing dataexclusion ruleszero versus missing
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Tan et al. (2024), figure 10 · CC BY 4.0

FirstGame mean ENA network. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).
데이터 준비중급35 분2026년 8월 16일
ENA 아카데미 수업 28

Define a Zero-Network Policy Before Modeling

Use the shared synthetic design-talk dataset to practise handling units that have observed rows but no modeled code co-occurrences under the chosen window and code set, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

zero networkempty vectorsparse data
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Tan et al. (2024), figure 1 · CC BY 4.0