"This study aims to evaluate a multidimensional latent trait model to determine how well the model works in various empirical contexts. Contrary to the assumption of these latent trait models that the traits are normally distributed, situations in which the latent trait is not shaped with a normal distribution may occur (Sass et al, 2008; Woods & Thissen, 2006). As a result when studies construct evaluations or comparisons in order to determine the appropriate estimation method and to avoid inefficient ones, the distribution or distributional statistics of the latent trait are considered as a key assumption. This study explores the performance of parameter estimation using a bifactor model, a type of multidimensional latent trait model in order to provide information of the effects of violations of the distributional assumptions... " -- Abstract.
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