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Multilevel Modeling Methods for E-Collaboration Data
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Author(s): Sema A. Kalaian (Eastern Michigan University, USA)
Copyright: 2008
Pages: 7
Source title:
Encyclopedia of E-Collaboration
Source Author(s)/Editor(s): Ned Kock (Texas A&M International University, USA)
DOI: 10.4018/978-1-59904-000-4.ch069
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Abstract
The present article aims to (1) conceptualize and present the two-level multilevel model for e-collaboration research, (2) conceptualize the Intra-Class Correlation Coefficient (ICC), (3) conceptualize R2 in e-collaboration multilevel modeling, (4) present centering methods that can be used in e-collaboration multilevel modeling, (5) present parameter estimation and hypothesis testing methods for e-collaboration multilevel modeling, and (6) list some of the existing commercial software packages that can be used for analyzing the e-collaboration multilevel data.
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