Event History Analysis

Event history analysis is a group of statistical procedures in examining longitudinal data on certain events’ timing and occurrence. This collection of quantitative methods is often used in sociological research particularly in developing causal and predictive models for mortality, births, divorces, migrations, and other events.

For instance, a researcher would monitor previous convicts for 10 years to know the probability of getting re-arrested. Through several tools such as chi-square, t-test, and other tests, the results concluded the percentage of released inmates who are most likely to go back to jail. In psychology, this analysis could be employed in estimating the likelihood of a disorder’s recurrence, and related variables.