The current study applied the person-fit statistic, l[subscript z], to data from a Canadian provincial achievement test to explore the usefulness of conducting person-fit analysis on large-scale assessments. Item parameter estimates were compared before and after the misfitting student responses, as identified by l[subscript z], were removed. The…

The study examines the role that perceptions or impressions of learning environments and assessments play in students' performance on a large-scale standardized test. Hierarchical linear modeling (HLM) was used to test aspects of the Learning Errors and Formative Feedback model to determine how much variation in students' performance was…

Studies of test dimensionality indicate that many large-scale science assessments measure multiple dimensions. These findings have reinforced the perspective that science achievement is an inherently dynamic process and that there is benefit in reporting subscores in science. A limitation with some of these studies is that they fail to indicate…