Demonstrating the utility of egocentric relational event modeling using focal 
follow data from Congolese BaYaka children and adolescents engaging in work and 
play

Ellis-Davies, Kate; Lew-Levy, Sheina; Fleming, Eleanor; Boyette, Adam H.; Baguley, Thom

doi:10.1177/1525822X20987073

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Demonstrating the utility of egocentric relational event modeling using focal follow data from Congolese BaYaka children and adolescents engaging in work and play

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Boyette, Adam H.
Department of Human Behavior Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

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Ellis-Davies, K., Lew-Levy, S., Fleming, E., Boyette, A. H., & Baguley, T. (2021). Demonstrating the utility of egocentric relational event modeling using focal follow data from Congolese BaYaka children and adolescents engaging in work and play. Field Methods, 33(3), 287-304. doi:10.1177/1525822X20987073.

Cite as: https://hdl.handle.net/21.11116/0000-0008-A13B-0

Abstract

Observational studies of children’s time allocation demonstrate that age, sex, family circumstance, and culture influence activity budgets (Blurton Jones 1972; Bock and Johnson 2004; Gosso 2010; Munroe et al. 1984; Whiting and Whiting 1975). However, temporal aspects of behavior have been difficult to model using conventional statistical techniques. Here, we demonstrate the applicability of the Egocentric Relational Event Model (EREM) using a focal follow dataset of BaYaka child and adolescent play and work activities (Butts 2008; Marcum and Butts 2015). While EREM is not the only statistical framework to accommodate sequential data, it is unique in the flexibility with which it can simultaneously model the probability and duration of multiple events.