Taking account of time: the application of event history analysis to leadership research

Abstract Event history models represent a general class of models designed to examine binary, cross-sectional, time-series data. Although event history models have had a long history in the fields of demography, biostatistics, and engineering, they have only recently become familiar to researchers in the social sciences, particularly the organizational sciences. In this article, we review the basic statistical modeling underlying event history methods, discuss the many considerations in choosing the form of the hazard rate, discuss the applicability of event history models to leadership research, and present a hypothetical example of the results of an event history analysis.

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