The Influence of Multiple Administrations of a State Achievement Test on Passing Rates for Student Groups

The stakes of large-scale testing programs have grown considerably in the past decade with the enactment of the No Child Left Behind (NCLB) and Race To The Top (RTTT) legislations. A significant component of NCLB has been required reporting of annual yearly progress (AYP) of student subgroups disagg...

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Main Authors: Joseph F. T. Nese, Gerald Tindal, Joseph J. Stevens, Stephen N. Elliott
Format: Article
Language:English
Published: Arizona State University 2015-07-01
Series:Education Policy Analysis Archives
Subjects:
Online Access:https://epaa.asu.edu/ojs/article/view/1974
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spelling doaj-f419537376194a93a591adbe748442f32020-11-25T02:32:05ZengArizona State UniversityEducation Policy Analysis Archives1068-23412015-07-0123010.14507/epaa.v23.19741382The Influence of Multiple Administrations of a State Achievement Test on Passing Rates for Student GroupsJoseph F. T. Nese0Gerald Tindal1Joseph J. Stevens2Stephen N. Elliott3University of OregonUniversity of OregonUniversity of OregonArizona State UniversityThe stakes of large-scale testing programs have grown considerably in the past decade with the enactment of the No Child Left Behind (NCLB) and Race To The Top (RTTT) legislations. A significant component of NCLB has been required reporting of annual yearly progress (AYP) of student subgroups disaggregated by sex, special education status, English language proficiency, and race/ethnicity. In this study we address the implications of a state policy that allows students to have multiple test opportunities to reach proficiency within an academic year, and its effect on passing rates. We found through logistic regression analyses that additional testing opportunities benefited specific majority student subgroups: White, non-free or reduced lunch program, non- limited English proficient, general education, and students close to the proficiency score. As states move to new achievement standards and assessments in 2015, policymakers may want to assess the potential benefits and costs of a multiple testing policy.https://epaa.asu.edu/ojs/article/view/1974Large-scale assessmentAccountability
collection DOAJ
language English
format Article
sources DOAJ
author Joseph F. T. Nese
Gerald Tindal
Joseph J. Stevens
Stephen N. Elliott
spellingShingle Joseph F. T. Nese
Gerald Tindal
Joseph J. Stevens
Stephen N. Elliott
The Influence of Multiple Administrations of a State Achievement Test on Passing Rates for Student Groups
Education Policy Analysis Archives
Large-scale assessment
Accountability
author_facet Joseph F. T. Nese
Gerald Tindal
Joseph J. Stevens
Stephen N. Elliott
author_sort Joseph F. T. Nese
title The Influence of Multiple Administrations of a State Achievement Test on Passing Rates for Student Groups
title_short The Influence of Multiple Administrations of a State Achievement Test on Passing Rates for Student Groups
title_full The Influence of Multiple Administrations of a State Achievement Test on Passing Rates for Student Groups
title_fullStr The Influence of Multiple Administrations of a State Achievement Test on Passing Rates for Student Groups
title_full_unstemmed The Influence of Multiple Administrations of a State Achievement Test on Passing Rates for Student Groups
title_sort influence of multiple administrations of a state achievement test on passing rates for student groups
publisher Arizona State University
series Education Policy Analysis Archives
issn 1068-2341
publishDate 2015-07-01
description The stakes of large-scale testing programs have grown considerably in the past decade with the enactment of the No Child Left Behind (NCLB) and Race To The Top (RTTT) legislations. A significant component of NCLB has been required reporting of annual yearly progress (AYP) of student subgroups disaggregated by sex, special education status, English language proficiency, and race/ethnicity. In this study we address the implications of a state policy that allows students to have multiple test opportunities to reach proficiency within an academic year, and its effect on passing rates. We found through logistic regression analyses that additional testing opportunities benefited specific majority student subgroups: White, non-free or reduced lunch program, non- limited English proficient, general education, and students close to the proficiency score. As states move to new achievement standards and assessments in 2015, policymakers may want to assess the potential benefits and costs of a multiple testing policy.
topic Large-scale assessment
Accountability
url https://epaa.asu.edu/ojs/article/view/1974
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