Transmodal Analysis

Transmodal Analysis (TMA) extends ENA to data that mixes several kinds of activity, or modalities, such as spoken turns, chat messages, and log events. Each modality can have its own window length and horizon rules, because a log event and a conversation turn rarely span the same amount of context.

Turn it on with the Transmodal / Standard switch on the Windows or Horizons tab, then choose a Modality column on the Windows tab; the model builds once it has one. Turning transmodal off returns windows to lines.

The sample RS data set has no real modality column, so the screenshots on this page use GameHalf (First / Second half of the game) as a stand-in. Your own data would use a column such as speaker role or event type.

Windows

The Windows tab for a transmodal model, with GameHalf as the modality and a window length per modality

In a transmodal model, the Windows tab adds:

Horizons

Flexible horizons: a horizon rule for each value of GameHalf

Transmodal models choose between two kinds of horizon on the Horizons tab:

With flexible horizons, the plot checklist asks you to assign a horizon to each modality, and the plot legend shows each modality's horizon.