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What is Amount of Variance Explained at Level-2 in each Regression Coefficient (R2)

Chapter 70
Encyclopedia of E-Collaboration
Is an index of the amount of variance explained in each of the Level-1 random regression coefficients (intercept and slopes) at Level-2 by the q Level-2 predictors. Here, R2 is estimated by comparing the Level-2 variance (t00 or tpp) estimate from the basic two-level model with the Level-2 variance, t00, estimate from the no-predictor model. (See Equation 8 and 9).
Published in Chapter:
Multilevel Modeling Methods for E-Collaboration Data
Sema A. Kalaian (Eastern Michigan University, USA)
Copyright: © 2008 |Pages: 7
DOI: 10.4018/978-1-59904-000-4.ch069
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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