Presentation 2006/7/3
Analyzing the interdependence of group communication (1) : Application of hierarchical analysis into communication data
Hiroshi SHIMIZU, Aya MURAYAMA, Ikuo DAIBO,
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Abstract(in English) This article considers the hierarchy in group communication data, and discuss about the effectiveness of hierarchical data analysis (multilevel covariance structure analysis: MCA). On data that includes hierarchical structure, the independency assumption of samples is not only filled but the effect of both an individual level and a group level will be intermingled in a correlation coefficient between variables because interdependence exists within a group,. Therefore, accurate estimates would not be calculated, and significance tests might be wrong. The hierarchical data analysis including MCA can avoid these problems by evaluating the interdependence in a group appropriately, and dividing data into a Within model (model of an individual level) and a Between model (model of a group level). This article introduces about the program and directions for conducting the simple method of MCA.
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Keyword(in English) group communication / hierarchical data / Multilevel Covariance structure Analysis / HAD3
Paper # HCS2006-23
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Committee HCS
Conference Date 2006/7/3(1days)
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Registration To Human Communication Science (HCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analyzing the interdependence of group communication (1) : Application of hierarchical analysis into communication data
Sub Title (in English)
Keyword(1) group communication
Keyword(2) hierarchical data
Keyword(3) Multilevel Covariance structure Analysis
Keyword(4) HAD3
1st Author's Name Hiroshi SHIMIZU
1st Author's Affiliation Graduate School of Human Sciences, Osaka University()
2nd Author's Name Aya MURAYAMA
2nd Author's Affiliation Graduate School of Human Sciences, Osaka University
3rd Author's Name Ikuo DAIBO
3rd Author's Affiliation Graduate School of Human Sciences, Osaka University
Date 2006/7/3
Paper # HCS2006-23
Volume (vol) vol.106
Number (no) 146
Page pp.pp.-
#Pages 6
Date of Issue