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Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
Value-Added Models (VAMs) require consistent longitudinal data that includes student test scores coming from sequential years. However, longitudinal data is usually incomplete for several reasons, including year-to-year changes in...
With the latest developments in computer based testing, implementing equating techniques that incorporate automated essay scoring systems such as e-rater are encouraging potential new directions for equating mixed-format tests of writing...
In the current study, I intended to simulate single case research design (SCRD) data to investigate the impact of the presence of autocorrelation on analysis of SCRD for Bayesian method under a variety of simulation conditions. The...
This study introduces a longitudinal diagnostic classification model, called the LTA+HDCM, which is a fusion of latent transition analysis (LTA; Collins & Flaherty, 2002; Collins & Wugalter, 1992) and the hierarchical diagnostic...
The dissertation explored the efficacy of using a POMDP to select and apply appropriate instruction. POMDPs are a tool for planning: selecting a sequence of actions that will lead to an optimal outcome. RTI is an approach to instruction, ...
Educators use various statistical techniques to explain relationships between latent and observable variables. One way to model these relationships is to use Bayesian networks as a scoring model. However, adjusting the conditional...
Checking that models adequately present data is an essential component of applied statistical inference. Psychometricans increasingly use complex models to analyze test takers responses. The appeal of using complex cognitive diagnostic...
This study evaluates a CART-based value-added model and compares it with commonly used multiple regression, hierarchical linear model, and student growth percentiles models. The comparisons are done in terms of prediction accuracy, ...
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