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Title: Tests of alignment among assessment, standards, and instruction using generalized linear model regression
Authors: Fulmer, Gavin William
Polikoff, Morgan S.
Keywords: Alignment
Educational assessment
Standardized testing
Generalized linear models
Issue Date: 2014
Citation: Fulmer, G. W., & Polikoff, M. S. (2014). Tests of alignment among assessment, standards, and instruction using generalized linear model regression. Educational Assessment, Evaluation and Accountability, 26(3), 225-240.
Abstract: An essential component in school accountability efforts is for assessments to be well-aligned with the standards or curriculum they are intended to measure. However, relatively little prior research has explored methods to determine statistical significance of alignment or misalignment. This study explores analyses of alignment as a special case of the generalized linear model (GLM). A general approach for such analyses is suggested, and examples are given of analyses with traditional alignment and GLM regression using data from two previously published studies. Results from the GLM are compared with ordinary least-squares (OLS) regression. Findings show that the GLM method allows more informative analysis of differences between source documents than alignment indices alone, including determination of whether marginal discrepancies are statistically significant or not.
Description: This is the final draft, after peer-review, of a manuscript published in Educational Assessment, Evaluation and Accountability. The published version is available online at
ISSN: 1874-8597 (print)
1874-8600 (online)
Other Identifiers: 10.1007/s11092-014-9196-z
Appears in Collections:Journal Articles

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