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Title: Tests of alignment among assessment, standards, and instruction using generalized linear model regression
Authors: Fulmer, Gavin William
Keywords: Alignment
Standardized testing
General linear models
Issue Date: 2013
Citation: Paper presented at the American Educational Research Association (AERA) Annual Meeting, San Francisco, California, 27 April to 1 May 2013
Abstract: An essential aspect of the current climate of accountability is to ensure that assessments are well-aligned with the standards or curriculum they are intended to measure. However, there is relatively little prior study on how alignment or related discrepancies among source documents are to be interpreted. The present paper explores analyses of alignment and marginal discrepancies as a special case of the general linear model (GLM). A general approach for such analyses is suggested, and an example is given using both traditional alignment and GLM regression analyses. Results show that the use of GLM allows more rigorous interpretation of discrepancies between source documents than alignment analysis alone, including determination of whether discrepancies are significant or not.
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