Using the Attribute Hierarchy Method to Make Diagnostic Inferences about Examinees' Cognitive Skills in Algebra on the SAT

Mark J. Gierl, Changjiang Wang, Jiawen Zhou

Abstract


The purpose of this study is to apply the attribute hierarchy method (AHM) to a subset of SAT algebra items administered in March 2005 to promote cognitive diagnostic inferences about examinees. The AHM is a psychometric method for classifying examinees’ test item responses into a set of structured attribute patterns associated with different components from a cognitive model of task performance. An attribute is a description of the procedural or declarative knowledge needed to perform a task. These attributes form a hierarchy of cognitive skills that represent a cognitive model of task performance. The study was conducted in two steps. In step 1, a cognitive model was developed by having content specialists, first, review the SAT algebra items, identify their salient attributes, and order the item-based attributes into a hierarchy. Then, the cognitive model was validated by having a sample of students think aloud as they solved each item. In step 2, psychometric analyses were conducted on the SAT algebra cognitive model by evaluating the model-data fit between the expected response patterns generated by the cognitive model and the observed response patterns produced from a random sample of 5000 examinees who wrote the items. Attribute probabilities were also computed for this random sample of examinees so diagnostic inferences about their attribute-level performances could be made. We conclude the study by describing key limitations, highlighting challenges inherent to the development and analysis of cognitive diagnostic assessments, and proposing directions for future research. This article contains embedded media (video and audio files) and may take a few minutes to download. You will need Flash Player 9.0 (available from www.adobe.com) to play the files. An alternate, smaller version of this article, that does not contain media files is available below under the Alternate Version heading.

Keywords


cognitive diagnostic assessment; cognition; assessment; testing; assessment; computer-based; technology; AHM; attribute Hierarchy method

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