Compared to unidimensional item response models (IRMs), cognitive diagnostic models (CDMs) based on latent classes represent examinees' knowledge and item requirements using discrete structures. This study systematically examines the viability of retrofitting CDMs to IRM-based data with a linear attribute structure. The study utilizes a procedure…

In this article, we introduce a person-fit statistic called the hierarchy consistency index (HCI) to help detect misfitting item response vectors for tests developed and analyzed based on a cognitive model. The HCI ranges from -1.0 to 1.0, with values close to -1.0 indicating that students respond unexpectedly or differently from the responses…

Explains a set of processes that teachers might use to structure their evaluation of students' learning and understanding. Illustrates the processes of setting goals, deciding what to assess, gathering information, and using the results through a measurement task requiring students to estimate the number of popcorn kernels in a container. (MDH)