Learn ENA by making the analysis decisions.

7 lessons

Page 1 / 2

RescuShell tutorial dataset: first three records. Original figure from the ENA and ONA tutorial by Tan and colleagues (2024).

Data PreparationBeginner25 minAug 9, 2026

Prepare Coded Discourse Data for ENA

Turn ordered qualitative records into an auditable ENA table with complete unit, conversation, raw-evidence, and binary code fields.

data formattingbinary codesconversation order

Open the tutorial

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).

Data PreparationIntermediate35 minJul 23, 2026

ENA Academy Lesson 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.

coding reliabilityconsensus codingcodebook revision

Open the tutorial

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

Data PreparationIntermediate35 minAug 10, 2026

ENA Academy Lesson 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.

multimodal dataevent alignmentsensor traces

Open the tutorial

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

Data PreparationIntermediate35 minAug 11, 2026

ENA Academy Lesson 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.

automated codingclassifier validationerror propagation

Open the tutorial

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).

Data PreparationBeginner25 minAug 13, 2026

ENA Academy Lesson 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.

missing dataexclusion ruleszero versus missing

Open the tutorial

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).

Data PreparationIntermediate35 minAug 16, 2026

ENA Academy Lesson 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.

zero networkempty vectorsparse data

Open the tutorial

Tan et al. (2024), figure 1 · CC BY 4.0