R-Squared Measures for Two-Level Hierarchical Linear Models Using SAS

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收藏 2013-12-11

Authors:	Anthony Recchia
Title:	[download] (11492)R-Squared Measures for Two-Level Hierarchical Linear Models Using SAS
Reference:	Vol. 32, Code Snippet 2, Jan 2010Submitted 2009-07-02, Accepted 2009-12-17
Type:	Code Snippet
Paper:	[download] (11492)R-Squared Measures for Two-Level Hierarchical Linear Models Using SAS (application/pdf, 230.3 KB)
Supplements:	[download] (1596)hlmrsq.sas: SAS source code (application/octet-stream, 21.3 KB)
	[download] (1466)v32c02.sas: SAS replication code for the paper (application/octet-stream, 5.7 KB)

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Trevor

2013-12-14 02:16:03

Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models

Andrew GELMAN

Department of Statistics and Department of Political Science

Columbia University

New York, NY

(gelman@stat.columbia.edu)

http://www.stat.columbia.edu/~gelman/research/published/rsquared.pdf

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Trevor

2013-12-14 02:40:35

After you have fit a linear model using regression analysis, ANOVA, or design of experiments (DOE), you need to determine how well the model fits the data. Most statistical software presents a variety of goodness-of-fit statistics. If the R-squared (R2 ) statistic is not working in multilevel model, what might be the good indicators for Hierarchical Lineal Model?

Any suggestion would be appreciated.

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Nicolle

2016-6-2 09:46:44

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