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Falk, Carl F.; Cai, Li – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2015
We present a logistic function of a monotonic polynomial with a lower asymptote, allowing additional flexibility beyond the three-parameter logistic model. We develop a maximum marginal likelihood based approach to estimate the item parameters. The new item response model is demonstrated on math assessment data from a state, and a computationally…
Descriptors: Guessing (Tests), Item Response Theory, Mathematics Instruction, Mathematics Tests
Vendlinski, Terry P.; Nagashima, Sam; Herman, Joan L. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2007
Current educational policy highlights the important role that assessment can play in improving education. State standards and the assessments that are aligned with them establish targets for learning and promote school accountability for helping all students succeed; at the same time, feedback from assessment results is expected to provide …
Descriptors: Elementary School Science, Federal Legislation, State Standards, Educational Improvement
Erickson, Varick; Ho, Andrew; Holtzman, Deborah; Jaciw, Andrew; Lukoff, Brian; Shen, Xuejun; Wei, Xin; Haertel, Edward – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2007
When a state test and National Assessment of Educational Progress (NAEP) are both measuring the same construct, the achievement gaps between subgroups on both tests should be the same. However, if a teacher or school engages in "teaching to the test" then student performance may improve on one test but not on another. We hypothesized that…
Descriptors: Academic Achievement, National Competency Tests, White Students, African American Students