Abstract
Event history analysis can help communication researchers study dynamic communication processes. The technique is appropriate for categorical outcomes situated in time, when a person, relationship, entity, or communication message shifts from one state to another. Data may be collected in panel studies, through recordings of interactions, from written or computer records of when events happened over time, or in a retrospective questionnaire. Using examples from mass media and interpersonal communication, a type of event history analysis using Cox's model is demonstrated and compared with ordinary least squares and logistic regression.
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