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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

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

Demonstrating the Utility of Egocentric Relational Event Modeling Using Focal Follow Data from Congolese BaYaka Children and Adolescents Engaging in Work and Play Thumbnail


Authors

Kate Ellis-Davies

Sheina Lew-Levy

Eleanor Fleming

Adam H. Boyette

Thom Baguley



Abstract

Temporal aspects of child and adolescent time allocation in diverse cultural settings have been difficult to model using conventional statistical techniques. A new statistical approach, Egocentric Relational Event Modelling (EREM), allows for the simultaneous modelling of activity frequency, duration, and sequencing. Here, EREM is applied to a focal follow dataset of Congolese BaYaka forager child and adolescent play and work activities. Results show that, as children age, they engage in less frequent and extended play bouts and more frequent and extended work bouts. Bout frequency and duration were a more sensitive measure for early sex differences than overall time allocation. Sequential patterns of work and play suggest that these activities have short-term energetic trade-offs. This article demonstrates that EREM can reveal stable and variable patterns in child development. 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.

Citation

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), https://doi.org/10.1177/1525822x20987073

Journal Article Type Article
Online Publication Date Jan 20, 2021
Publication Date 2021
Deposit Date Sep 22, 2021
Publicly Available Date Sep 22, 2021
Journal Field Methods
Print ISSN 1525-822X
Electronic ISSN 1552-3969
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 33
Issue 3
DOI https://doi.org/10.1177/1525822x20987073

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).







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