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Direct linkKim, Jee-Seon; Frees, Edward W. – Psychometrika, 2006
Statistical methodology for handling omitted variables is presented in a multilevel modeling framework. In many nonexperimental studies, the analyst may not have access to all requisite variables, and this omission may lead to biased estimates of model parameters. By exploiting the hierarchical nature of multilevel data, a battery of statistical…
Descriptors: Simulation, Social Sciences, Structural Equation Models, Computation
