Statistical modelling of congruence and association between perceptual and complete networks

"Structural analysis of social networks using statistical techniques has been evolving into sophisticated models for the last 60 years. These statistical models and techniques have been predominantly concerned with the structure of a global network. Statistical approaches to the analysis of cognitive networks, either full cognitive social structures or ego-centered networks, are few. The statistical analysis of cognitive. social structures has been limited to evaluating some common, or average, network from the set of perceptual networks. The premise of these approaches is to find a common network which reflects the ""cultural"" consensus. Then, upon deriving the cultural consensus network, differences between the individual perceptions and the common network are evaluated and systematic patterns in the perceptual bias are explained. These consensus approaches to perceptual networks have not attempted to describe the structure within each perceptual network or the structure of the consensus network."

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Psychology

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Koehly, Laura Marie

Contributors dc:contributor

• Wasserman, Stanley

• Psychology, Social
• Statistics
• Psychology, Psychometrics
• Psychology, Cognitive

Statement dc:rights

• Copyright 1996 Koehly, Laura Marie

Language dc:language

eng

Identifier

9780591088076
AAI9702564
(UMI)AAI9702564

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/20138