Utilizing Complex Systems Statistics for Historical and Archaeological Data

This article examines two statistical tools useful for historians and archaeologists that are common in other fields, but rare in cognitive approaches to historical materials. These tools, network statistics and general linear modelling, have been utilized for decades in other disciplines in the cog...

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Détails bibliographiques
Auteurs: Lane, Justin E. (Auteur) ; Gantley, Michael J. (Auteur)
Type de support: Électronique Article
Langue:Anglais
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Publié: Equinox Publ. [2016]
Dans: Journal of Cognitive Historiography
Année: 2016, Volume: 3, Numéro: 1/2, Pages: 68-92
Sujets non-standardisés:B Archaeology
B Networks
B complex systems
B generalized linear modeling
B Data Analysis
Accès en ligne: Volltext (Verlag)
Volltext (doi)
Description
Résumé:This article examines two statistical tools useful for historians and archaeologists that are common in other fields, but rare in cognitive approaches to historical materials. These tools, network statistics and general linear modelling, have been utilized for decades in other disciplines in the cognitive sciences to test for complex and dynamic relationships between different variables. One of the strengths of these two approaches is that they can be used to draw statistical inference from complex, multivariate data; even when data is incomplete. This article outlines how these analyses work and when these approaches can be appropriately used to analyse historical and archaeological data.
ISSN:2051-9680
Contient:Enthalten in: Journal of Cognitive Historiography
Persistent identifiers:DOI: 10.1558/jch.31696