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Although anger is an important emotion that underlies much overt aggressionat great social cost, little is known about how to quantify anger or to specifythe relationship between anger and the overt behaviors that express it. Thispaper proposes a novel statistical model which provides both a metric for theintensity of anger and an approach to determining the quantitative relationshipbetween anger intensity and the specific behaviors that it controls. Fromobserved angry behaviors, we reconstruct the time course of the latent angerintensity and the linkage between anger intensity and the probability of eachangry behavior. The data on which this analysis is based consist of observedtantrums had by 296 children in the Madison WI area during the period1994--1996. For each tantrum, eight angry behaviors were recorded as occurringor not within each consecutive 30-second unit. So, the data can becharacterized as a multivariate, binary, longitudinal (MBL) dataset with alatent variable (anger intensity) involved. Data such as these are common inbiomedical, psychological and other areas of the medical and social sciences.Thus, the proposed modeling approach has broad applications.

Statistical modeling of the time course of tantrum anger