Time metric is an important consideration for all longitudinal models because it can influence the interpretation of estimates, parameter estimate accuracy, and model convergence in longitudinal models with latent variables. Currently, the literature on latent difference score (LDS) models does not discuss the importance of time metric. Furthermore, there is little research using simulations to investigate LDS models. This study examined the influence of time metric on model estimation, interpretation, parameter estimate accuracy, and convergence in LDS models using empirical simulations.
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- Partial requirement for: Ph. D., Arizona State University, 2016Note typethesis
- Includes bibliographical references (pages 37-40)Note typebibliography
- Field of study: Psychology