Kingston, Neal MKoch, Paul DGu, Fei2014-09-242014-09-242013-05-312013http://dissertations.umi.com/ku:12638https://hdl.handle.net/1808/15100In this work, two types of bootstrap methods are used to evaluate the absolute goodness-of-fit for the linear state space model. The first bootstrap is called parametric bootstrap, and the second one is called the residual-based bootstrap. The results from the two bootstrap methods are similar, but both bootstrap methods failed to detect the model misspecification introduced for the state space model considered.35 pagesenThis item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.Quantitative psychologyPsychometricsUsing Parametric and Residual-based Bootstrap to Assess the Absolute Goodness-of-fit for State Space ModelDissertationhttps://orcid.org/0000-0002-1753-8398openAccess