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.
Open the tutorialLearn ENA by making the analysis decisions.
8 lessons
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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.
Open the tutorialInspect 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.
Open the tutorialRead 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.
Open the tutorialTrace 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.
Open the tutorialReport 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.
Open the tutorial