Journal article

Exploring the item features of a science assessment with complex tasks

Tina Collier, Linda Morell, Mark Wilson

Measurement | ELSEVIER SCI LTD | Published : 2018

Abstract

Item explanatory models have the potential to provide insight into why certain items are easier or more difficult than others. Through the selection of pertinent item features, one can gather validity evidence for the assessment if construct-related item characteristics are chosen. This is especially important when designing assessment tasks that address new standards. Using data from the Learning Progressions in Middle School Science Instruction and Assessment (LPS) project, this paper adopts an “item explanatory” approach and investigates whether certain item features can explain differences in item difficulties by applying an extension of the linear logistic test model. Specifically, this..

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Grants

Awarded by Institute of Education Sciences, U.S. Department of Education


Funding Acknowledgements

The work was supported by the Institute of Education Sciences, U.S. Department of Education, through Grant R305A100692 to University of California, Berkeley. The opinions expressed are those of the authors and do not represent views of the Institute or the U.S. Department of Education.