Abstract
The goal of the investigation is to evaluate the use of sampling weights in the structural equation modeling context through a simulation study. The statistical inference in this study is carried out by using a basic factor analysis model with one latent variable and five continue observe variables. In this study, three independent variables were manipulated by various proportions of samples versus population, sampling stratum sizes, and differences in factor loading between strata. Estimations are conducted by using the altered maximum likelihood estimation (MLE) algorithm. Our simulation results demonstrate that adapted processes of sampling weight are crucial and incorporating weights into the parameter estimation procedures of SEM is a non-ignorable top-priority.
| Keywords: | sampling weights; structural equation modeling; factor analysis |
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