This study explored a diagnostic assessment method that emphasized the cognitive process of algebra learning. The study utilized a design and a theory-driven model to examine the content knowledge. Using the theory driven model, the thinking skills of algebra learning was also examined. A Bayesian network model was applied to represent the theory…

What is the nature of latent predictors that facilitate diagnostic classification? Rupp and Templin (this issue) suggest that these predictors should be multidimensional, categorical variables that can be combined in various ways. Diagnostic Classification Models (DCM) typically use multiple categorical predictors to classify respondents into…

Two experiments compared 10-year-olds' and adults' ability to choose positive and negative diagnostic tests over positive and negative nondiagnostic tests. Findings indicated that both age groups were more likely to prefer positive diagnostic tests over positive nondiagnostic tests, although only adults showed a significant preference for negative…