ABSTRACT
If new measurement models are to measure complex and dynamic cognitive processes and to be linked to instruction, then understanding knowledge structures in highly specific and detailed forms will be able to provide a rational basis for proposing and evaluating potential improvements in the measurement of general proficiency. Without this understanding, improvement remains largely a trial-and-error process.
