Houston’s experience with the Educational Value-Added Assessment System (R) (EVAAS) raises questions that other districts should consider before buying the software and using it for high-stakes decisions. Researchers found that teachers in Houston, all of whom were under the EVAAS gun, but who taught relatively more racial minority students, higher proportions of English language learners, higher proportions of students eligible for free or reduced-price lunches, and higher proportions of special education students, had significantly lower EVAAS scores than colleagues teaching elsewhere in the Houston district. Hence, results suggest that the EVAAS does not, at least in Houston and perhaps elsewhere, offer states, districts, and schools the precise, reliable, and unbiased results that go far beyond what other simplistic [value-added] models found in the market today can provide, as the software owner, SAS Institute Inc., claims. Rather, evidence shows that EVAAS estimates in Houston, and likely elsewhere, may be biased against teachers who teach disproportionate percentages of certain type of students in their classrooms.

American Educational Research Association (AERA) Council . (2015). AERA statement on use of value-added models (VAM) for the evaluation of educators and educator preparation programs. Educational Researcher, 44 (8), 15. http://bit.ly/AERAonVAMS
Google Scholar
American Statistical Association (ASA) . (2014). ASA statement on using value-added models for educational assessment. www.amstat.org/asa/files/pdfs/POL-ASAVAM-Statement.pdf
Google Scholar
Amrein-Beardsley, A., Collins, C., Holloway-Libell, J., Paufler, N.A. (2016). Everything is bigger (and badder) in Texas: Houston’s teacher value-added system. [Commentary]. Teachers College Record. www.tcrecord.org/Content.asp?%20ContentId=18983
Google Scholar
Collins, C. (2014). Houston, we have a problem: Teachers find no value in the SAS Education Value-Added Assessment System (EVAAS®). Education Policy Analysis Archives, 22, 2139
Google Scholar
Collins, C., Amrein-Beardsley, A. (2014). Putting growth and value-added models on the map: A national overview. Teachers College Record, 16 (1). www.tcrecord.org/Content.asp?%20ContentId=17291
Google Scholar
Holloway-Libell, J. (2015). Evidence of grade and subject-level bias in value-added measures. Teachers College Record, 117.
Google Scholar
Houston Federation of Teachers (Plaintiff) v. Houston Independent School District (Defendant), Civil No. 4:14-CV-01189 . (2015). United States District Court, Southern District of Texas, Houston Division.
Google Scholar
Houston Independent School District . (2015a). State of Texas Assessments of Academic Readiness performance, grades 3-8, spring 2015. Houston, TX: Author. http://bit.ly/HISD_STAAR
Google Scholar
Houston Independent School District . (2015b). State of Texas Assessments of Academic Readiness end-of-course results, spring 2015. Houston, TX: Author. www.houstonisd.org/Page/69852
Google Scholar
Kane, M.T. (2017). Measurement error and bias in value-added models (ETS RR–17- 25). Princeton, NJ: Educational Testing Services. doi:10.1002/ets2.12153. http://onlinelibrary.wiley.com/doi/10.1002/ets2.12153/full
Google Scholar
Kappler Hewitt, K. (2015). Educator evaluation policy that incorporates EVAAS value-added measures: Undermined intentions and exacerbated inequities. Education Policy Analysis Archives, 23 (76), 149.
Google Scholar
Koedel, C., Mihaly, K., Rockoff, J.E. (2015). Value-added modeling: A review. Economics of Education Review, 47, 180195.
Google Scholar | Crossref | ISI
National Association of Secondary School Principals (NASSP) . (n.d.). Value-added measures in teacher evaluation: Position statement. Reston, VA: Author. www.nassp.org/who-we-are/board-of-directors/position-statements/value-added-measures-in-teacher-evaluation?%20SSO=true
Google Scholar
Newton, X., Darling-Hammond, L., Haertel, E., Thomas, E. (2010). Value-added modeling of teacher effectiveness: An exploration of stability across models and contexts. Educational Policy Analysis Archives, 18 (23). doi: 10.14507/epaa.v18n23.2010
Google Scholar | Medline
SAS Institute Inc . (n.d.). SAS EVAAS for K-12: Assess and predict student performance with precision and reliability. Cary, NC: Author. www.sas.com/en_ph/industry/k-12-education/evaas.html
Google Scholar
U.S. Department of Education . (2010). International education rankings suggest reform can lift U.S. https://blog.ed.gov/2010/12/international-education-rankings-suggest-reform-can-lift-u-s/
Google Scholar
View access options

My Account

Welcome
You do not have access to this content.



Chinese Institutions / 中国用户

Click the button below for the full-text content

请点击以下获取该全文

Institutional Access

does not have access to this content.

Purchase Content

24 hours online access to download content

Your Access Options


Purchase

PDK-article-ppv for $5.00

Article available in:

Related Articles

Citing articles: 0