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Developmental Causal Structures of Organism-Environment Interactions

Developmental Causal Structures of Organism-Environment Interactions The investigation of organism-environment interaction in a developmental framework has been hampered by a lack of adequate analytical methods. Since the application of multivariate, structural analyses has been quite promising for the study of behavioral systems, an extension of this approach to the description and explication of organism-environment interactions on a macroscopic level may be considered as an appropriate next step. Based on characteristics of the assumed feedback mechanisms between the behavioral and environmental systems, it is possible to analyze longitudinally ordered sequences in terms of recursive versus nonrecursive and distal versus proximal relationships both within and between domains. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Human Development Karger

Developmental Causal Structures of Organism-Environment Interactions

Human Development , Volume 17 (6): 9 – Jan 1, 2009

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Publisher
Karger
Copyright
© 1974 S. Karger AG, Basel
ISSN
0018-716X
eISSN
1423-0054
DOI
10.1159/000271386
Publisher site
See Article on Publisher Site

Abstract

The investigation of organism-environment interaction in a developmental framework has been hampered by a lack of adequate analytical methods. Since the application of multivariate, structural analyses has been quite promising for the study of behavioral systems, an extension of this approach to the description and explication of organism-environment interactions on a macroscopic level may be considered as an appropriate next step. Based on characteristics of the assumed feedback mechanisms between the behavioral and environmental systems, it is possible to analyze longitudinally ordered sequences in terms of recursive versus nonrecursive and distal versus proximal relationships both within and between domains.

Journal

Human DevelopmentKarger

Published: Jan 1, 2009

Keywords: Development; Organism-environment interaction; Path analysis; Causal structures; Multi-stage models

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