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Direct linkJamshidian, Mortaza; Mata, Matthew – Multivariate Behavioral Research, 2008
Incomplete or missing data is a common problem in almost all areas of empirical research. It is well known that simple and ad hoc methods such as complete case analysis or mean imputation can lead to biased and/or inefficient estimates. The method of maximum likelihood works well; however, when the missing data mechanism is not one of missing…
Descriptors: Structural Equation Models, Simulation, Factor Analysis, Research Methodology
