An Item Response Model for the Estimation of Demographic Effects

Mark Reiser

Journal of Educational and Behavioral Statistics, 1983, vol. 8, issue 3, 165-186

Abstract: Item sampling procedures employed in many assessment studies are designed so that each respondent answers a small number of items in each of a large number of skill areas. If the item population contains several items designed to measure an underlying variable such as computation skill, it may be desirable to fit an item response model to the data. In studies that employ multiple matrix sampling there are not enough answers from each individual to employ such a model. To circumvent this problem, a model is formulated on the assumption that individual level variability appears as independent error within the cells of the cross classification of manifest demographic variables such as sex and race. This model is successfully fit to a scale of items, involving addition of fractions, from the National Assessment Study.

Keywords: Item response models; group effects; demographic effects; mathematics achievement; assessment (search for similar items in EconPapers)
Date: 1983
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.3102/10769986008003165 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:8:y:1983:i:3:p:165-186

DOI: 10.3102/10769986008003165

Access Statistics for this article

More articles in Journal of Educational and Behavioral Statistics
Bibliographic data for series maintained by SAGE Publications ().