An Application of Generalizability Theory to Evaluate the Technical Quality of an Alternate Assessment

Although federal regulations require testing students with severe cognitive disabilities, there is little guidance regarding how technical quality should be established. It is known that challenges exist with documentation of the reliability of scores for alternate assessments. Typical measures of r...

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Bibliographic Details
Published inApplied measurement in education Vol. 26; no. 4; pp. 279 - 297
Main Authors Taylor, Melinda Ann, Pastor, Dena A.
Format Journal Article
LanguageEnglish
Published Philadelphia Routledge 01.10.2013
Taylor & Francis Ltd
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Summary:Although federal regulations require testing students with severe cognitive disabilities, there is little guidance regarding how technical quality should be established. It is known that challenges exist with documentation of the reliability of scores for alternate assessments. Typical measures of reliability do little in modeling multiple sources of error, which are characteristic of alternate assessments. Instead, Generalizability theory (G-theory) allows researchers to identify sources of error and analyze the relative contribution of each source. This study demonstrates an application of G-theory to examine reliability for an alternate assessment. A G-study with the facets rater type, assessment attempts, and tasks was examined to determine the relative contribution of each to observed score variance. Results were used to determine the reliability of scores. The assessment design was modified to examine how changes might impact reliability. As a final step, designs that were deemed satisfactory were evaluated regarding the feasibility of adapting them into a statewide standardized assessment and accountability program.
ISSN:0895-7347
1532-4818
DOI:10.1080/08957347.2013.824450