Analyzing Cross-classified Data with Inherent Spatial Dependence
نویسندگان
چکیده
منابع مشابه
The Impacts of Ignoring a Crossed Factor in Analyzing Cross-Classified Data.
Cross-classified random-effects models (CCREMs) are used for modeling nonhierarchical multilevel data. Misspecifying CCREMs as hierarchical linear models (i.e., treating the cross-classified data as strictly hierarchical by ignoring one of the crossed factors) causes biases in the variance component estimates, which in turn, results in biased estimation in the standard errors of the regression ...
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Cross-classified random effects modeling (CCREM) is used to model multilevel data from nonhierarchical contexts. These models are widely discussed but infrequently used in social science research. Because little research exists assessing when it is necessary to use CCREM, 2 studies were conducted. A real data set with a cross-classified structure was analyzed by comparing parameter estimates wh...
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ژورنال
عنوان ژورنال: Geographical Analysis
سال: 2010
ISSN: 0016-7363
DOI: 10.1111/j.1538-4632.1986.tb00081.x