Methodological Concerns About the Education Value-Added Assessment System (EVAAS): Validity, Reliability, and Bias

The Education Value-Added Assessment System (EVAAS), the value-added model (VAM) sold by the international business analytics software company SAS Institute Inc., is advertised as offering “precise, reliable and unbiased results that go far beyond what other simplistic [value-added] models found in...

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Main Authors: Audrey Amrein-Beardsley, Tray Geiger
Format: Article
Language:English
Published: SAGE Publishing 2020-05-01
Series:SAGE Open
Online Access:https://doi.org/10.1177/2158244020922224
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spelling doaj-d1305d6051eb4f0097033342e99eba182020-11-25T03:35:15ZengSAGE PublishingSAGE Open2158-24402020-05-011010.1177/2158244020922224Methodological Concerns About the Education Value-Added Assessment System (EVAAS): Validity, Reliability, and BiasAudrey Amrein-Beardsley0Tray Geiger1Arizona State University, Tempe, USAArizona State University, Tempe, USAThe Education Value-Added Assessment System (EVAAS), the value-added model (VAM) sold by the international business analytics software company SAS Institute Inc., is advertised as offering “precise, reliable and unbiased results that go far beyond what other simplistic [value-added] models found in the market today can provide.” In this study, we investigated these claims, as well as others pertaining to the validity or truthfulness of model output, by conducting analyses on more than 1,700 teachers’ EVAAS results (i.e., actual EVAAS output to which no other external scholars have had access prior) from the Houston Independent School District (HISD). We found the EVAAS to perform, overall, in line with other VAMs in terms of validity and reliability, although it yielded possibly more biased value-added estimates than other VAMs due to differences in teacher’s EVAAS scores based on school-level student composition factors.https://doi.org/10.1177/2158244020922224
collection DOAJ
language English
format Article
sources DOAJ
author Audrey Amrein-Beardsley
Tray Geiger
spellingShingle Audrey Amrein-Beardsley
Tray Geiger
Methodological Concerns About the Education Value-Added Assessment System (EVAAS): Validity, Reliability, and Bias
SAGE Open
author_facet Audrey Amrein-Beardsley
Tray Geiger
author_sort Audrey Amrein-Beardsley
title Methodological Concerns About the Education Value-Added Assessment System (EVAAS): Validity, Reliability, and Bias
title_short Methodological Concerns About the Education Value-Added Assessment System (EVAAS): Validity, Reliability, and Bias
title_full Methodological Concerns About the Education Value-Added Assessment System (EVAAS): Validity, Reliability, and Bias
title_fullStr Methodological Concerns About the Education Value-Added Assessment System (EVAAS): Validity, Reliability, and Bias
title_full_unstemmed Methodological Concerns About the Education Value-Added Assessment System (EVAAS): Validity, Reliability, and Bias
title_sort methodological concerns about the education value-added assessment system (evaas): validity, reliability, and bias
publisher SAGE Publishing
series SAGE Open
issn 2158-2440
publishDate 2020-05-01
description The Education Value-Added Assessment System (EVAAS), the value-added model (VAM) sold by the international business analytics software company SAS Institute Inc., is advertised as offering “precise, reliable and unbiased results that go far beyond what other simplistic [value-added] models found in the market today can provide.” In this study, we investigated these claims, as well as others pertaining to the validity or truthfulness of model output, by conducting analyses on more than 1,700 teachers’ EVAAS results (i.e., actual EVAAS output to which no other external scholars have had access prior) from the Houston Independent School District (HISD). We found the EVAAS to perform, overall, in line with other VAMs in terms of validity and reliability, although it yielded possibly more biased value-added estimates than other VAMs due to differences in teacher’s EVAAS scores based on school-level student composition factors.
url https://doi.org/10.1177/2158244020922224
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