Improving Lives Through Research®

Publications

Zehler A.M., Miyaoka A., Chaney B., Orellana V., Vahey P., Torre Gibney D., Yee K., and Yilmazel-Sahin Y. (2019).

Supporting English learners through technology: What districts and teachers say about digital learning resources for English learners. Volume I: Final report.

Washington, DC: Policy and Program Studies Service, Office of Planning, Evaluation, and Policy Development, U.S. Department of Education.
Source (PDF)
Di Frances C.D., Childs E., Fetterman J.L., Villanti A.C., Stanton C.A., Russo A.R., Hirsch G.A., Solis A.C., and Benjamin E.J. (2019).

Implementing and evaluating a mentor training to improve support for early-career scholars in tobacco regulatory science.

Nicotine and Tobacco Research.
DOI | PubMed
Palmer S.B., Fleming K.K., Summers J.A., Erwin E.J., Maude S.P., Brotherson M.J., Stroup-Rentier V., Haines S.J., Zheng Y.Z., Peck N.F., and Wu H.-Y. (2019).

Foundations for self-determination in early childhood: Preliminary preschool study.

Advances in Neurodevelopmental Disorders.
DOI
Mohadjer L. and Edwards B. (2018).

Paradata and dashboards in PIAAC.

Quality Assurance in Education, 26(2), 263-277.
DOI
Li J., Krenzke T., Mohadjer L., Van de Kerckhove W., Li L., Ren W., and Adbaru H.H. (2018).

Choice of small area models based on sample designs and availability of auxiliary data in PIAAC study.

Proceedings of the Survey Research Methods Section of the American Statistical Association (pp. 2078-2093). Alexandria, VA: American Statistical Association.
Source (PDF)
Young D.L. and Choi J. (2018).

Information and computer technologies for Improving international assessment.

In S. Swayze and V. Ford (Eds.), Innovative applications of knowledge discovery and information resources management (pp. 173-194). Hershey, PA: IGI Global.
Source
Carpenter D., Hassell S., Mardon R., Fair S., Johnson M., Siegel S., and Nix M. (2018).

Using learning communities to support adoption of health care innovations.

Joint Commission Journal on Quality and Patient Safety, 44(10), 566-573.
DOI | PubMed
Tipton E. and Olsen R.B. (2018).

A review of statistical methods for generalizing from evaluations of educational interventions.

Educational Researcher, 47(8), 516-524.
DOI
Gray L. and Lewis L. (2018).

Career and technical education programs in public school districts: 2016-17.

(First Look Report: NCES 2018-028). Washington, DC: National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education.
Source (PDF)
Hall K.L., Vogel A.L., Huang G.C., Serrano K.J., Rice E.L., Tsakraklides S.P., and Fiore S.M. (2018).

The science of team science: A review of the empirical evidence and research gaps on collaboration in science.

American Psychologist, 73(4), 532-548.
DOI | PubMed
Daley T.C., Edwards J., Fiore T.A., and Johnson L. (2018).

National Evaluation of the State Deaf-Blind Projects.

NCEE 2018-4006. Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education.
Source (PDF)
Story A.E., Carpenter-Song E.A., Acquilano S.C., Becker D.R., and Drake R.E. (2018).

Mental health leaves of absence in college and therapy: A qualitative study of student experiences.

Journal of College Student Psychotherapy.
DOI
Finster M. and Milanowski A. (2018).

Teacher perceptions of a new performance evaluation system and their influence on practice: A within- and between-level analysis.

Education Policy Analysis Archives, 26(41).
DOI
Decker L.E. (2018).

The relationship between internal teacher profiles and the quality of teacher-child interactions in prekindergarten.

Journal of Research in Childhood Education, 32(1), 32-51.
DOI
Stuart E.A., Bell S.H., Ebnesajjad C., Olsen R.B., and Orr L.L. (2017).

Characteristics of school districts that participate in rigorous national educational evaluations.

Journal of Research on Educational Effectiveness, 10(1), 168-206.
DOI
Riddles J., Burke J., Rivero G., and Rust K.F. (2017).

Adjustments to student weights to account for student nonresponse in the National Assessment of Educational Progress.

Proceedings of the Survey Research Methods Section of the American Statistical Association (pp. 561-570). Alexandria, VA: American Statistical Association.
Source
Troppe P., Milanowski A., Heid C., Gill B., Ross C., and Johnson E. (2017).

Implementation of Title I and Title II-A Program Initiatives: Results from 2013-14.

(NCEE 2017-4014). Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education.
Source
Milanowski A. (2017).

Lower performance evaluation practice ratings for teachers of disadvantaged students: Bias or reflection of reality?.

AERA Open, 3(1), 1-16.
DOI
Lietz P., Cresswell J.C., Rust K.F., and Adams R.J. (2017).

Implementation of large-scale education assessments.

New York, NY: Wiley.
DOI
Jones C.D., Milam A.J., Debnam K.J., and Bradshaw C.P. (2017).

School environments and obesity: The mediating role of personal stress.

Journal of Community Psychology.
DOI
Chen S. and Rust K.F. (2017).

An extension of Kish's formula for design effects to two- and three-stage designs with stratification.

Journal of Survey Statistics and Methodology, 5(2), 111-130.
DOI
Bell S.H., Olsen R.B., Orr L.L., and Stuart E.A. (2016).

Estimates of external validity bias when impact evaluations select sites nonrandomly.

Education Evaluation and Policy Analysis, 38(2), 318-335.
DOI
Smith A., Egan L.C., Tompson K., and Marbach-Ad G. (2016).

Faculty learning communities: A professional development model that fosters individual, departmental, and institutional impact.

In G.C. Weaver, W.D. Burgess, A.L. Childress, and L. Slakey (Eds.), Transforming institutions: Undergraduate STEM education for the 21st century. West Lafayette, IN: Purdue University Press.
Source
Egan L.C., Marbach-Ad G., and Thompson K. (2016).

A disciplinary teaching and learning center: Applying pedagogical content knowledge to faculty development.

In G.C. Weaver, W.D. Burgess, A.L. Childress, and L. Slakey (Eds.), Transforming institutions: Undergraduate STEM education for the 21st century. West Lafayette, IN: Purdue University Press.
Source
Feldman J.M., Betts J., and Dynarksi M. (2016).

Applying to the DC Opportunity Scholarship Program: How do parents rate their children's current schools at time of application and what do they want in new schools?.

(NCEE 2016-4003). Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education.
Source (PDF)
Zavadsky H. (2016).

Bringing effective instructional practice to scale in American schools: Lessons from the Long Beach Unified School District.

Journal of Educational Change, 17(4), 505-527.
DOI
Rampey B., Finnegan R., Goodman M., Mohadjer L., Krenzke T., Hogan J., and Provasnik S. (2016).

Skills of the U.S. unemployed, young, and older adults in sharper focus: Results from the Program for the International Assessment of Adult Competencies (PIAAC) 2012/2014: First look.

(NCES 2016-039). Washington, DC: National Center for Education Statistics.
Source
Gray L. and Lewis L. (2016).

Programs and services for high school English learners in public school districts: 2015-16.

(First Look Report: NCES 2016-150). Washington, DC: National Center for Education Statistics, U.S. Department of Education.
Source (PDF)
Feldman J.M., Dynarski M., and Betts J. (2016).

Evaluation of the DC Opportunity Scholarship Program: Features of schools in DC.

(NCEE 2016-4007). Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education.
Source (PDF)
Lohr S. (2015).

Red beads and profound knowledge: Deming and quality of education.

Education Policy Analysis Archives, 23(80), 24-Jan.
DOI
Egan L.C., Tompson K., and Marbach-Ad G. (2015).

A discipline-based teaching and learning center: A model for professional development.

New York, NY: Springer.
Source
Frechtling J.A., Merlino F.J., and Stephenson K. (2015).

The call to transform postsecondary STEM educational practices and institutional policies.

American Journal of Educational Studies, 7(1), 27-42.
Roey S., Krenzke T., and Perkins R. (2015).

O privacy, where art thou?: Can 'dirty' data be your friend? Considering the impact on disclosure risk as illustrated in the education data context.

Chance, 28(4), 55-59.
Source | DOI
Brezis R.S., Weisner T., Daley T.C., Singhal N., Barua M., Chollera S., Fiore T.A., Becker E.A., Nero R.C., Tyree R.B., and Cook R.A. (2015).

Parenting a child with autism in India: narratives before and after a parent-child intervention program.

Culture, Medicine, and Psychiatry, 39(2), 277-298.
DOI | PubMed
Boekeloo B.O., Jones C.D., Bhagat K., Siddiqui J., and Wang M.Q. (2015).

The role of intrinsic motivation in the pursuit of health science-related careers among youth from underrepresented low socioeconomic populations.

Journal of Urban Health, 92(5), 980-994.
DOI | PubMed
Troppe P., Milanowski A., Garrison-Mogren R., Webber A., Gutmann B., Reisner E., and Goertz M. (2015).

State, district, and school implementation of reforms promoted under the Recovery Act: 2009-10 through 2011-12.

(NCEE 2015-4016). Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education.
Source
Raue K. and Gray L. (2015).

Career paths of beginning public school teachers: Results from the first through fifth waves of the 2007-08 Beginning Teacher Longitudinal Study.

(NCES 2015-196). Washington, DC: National Center for Education Statistics.
Source
Gray L. and Lewis L. (2015).

Public school safety and discipline: 2013-14.

(NCES 2015-051). Washington, DC: National Center for Education Statistics.
Source
Gray L. and Taie S. (2015).

Public school teacher attrition and mobility in the first five years: Results From the first through fifth waves of the 2007-08 Beginning Teacher Longitudinal Study.

(NCES 2015-337). Washington, DC: National Center for Education Statistics.
Source
Gersten R., Rolfhus E., Clarke B., Decker L.E., Wilkins C., and Dimino J. (2015).

Intervention for first graders with limited number knowledge: Large-scale replication of a randomized controlled trial.

American Educational Research Journal, 52(3), 516-546.
DOI
Gray L. and Lewis L. (2015).

Public-use data files and documentation (FRSS 106): School Safety and Discipline: 2013-14.

(NCES 2015-052). Washington, DC: National Center for Education Statistics, U.S. Department of Education.
Source
Tsakraklides S.P., Raue K., Spiegelman M., Faupel-Badger J.M., Nelson D.E., Izmirlian G., Ross K.H., and Miyaoka A. (2015).

Independent association of postdoctoral training with subsequent careers in cancer prevention.

PLoS ONE, 10(12), e0144880.
DOI | PubMed
Malen B., Dayhoff J., Egan L.C., and Croninger R.G. (2015).

The challenges of advancing fiscal equity in a resource-strained context.

Educational Policy.
DOI
Tsakraklides S.P., Raue K., Faupel-Badger J.M., and Nelson D.E. (2015).

Alumni perspectives on career preparation during a postdoctoral training program: A qualitative study.

CBE - Life Sciences Education, 14(1).
DOI | PubMed
Feldman J.M., Koenig K., Siegel D., and Cohen S. (2014).

Issues in implementing a comprehensive intervention for public school children with autism spectrum disorders.

Journal of Prevention and Intervention in the Community, 42(4), 248-263.
DOI | PubMed
Egan L.C. and King J.R. (2014).

Foregone earnings.

In D. Brewer and L. Picus (Eds.), Encyclopedia of education economics and finance. New York, NY: Sage.
Source
Katterfeld K. (2014).

Measuring leadership of math instruction: Investigating the validity of a survey scale for principals’ leadership of middle school mathematics.

Journal of School Leadership, 24(6), 1125-1154.
Lohr S., Schochet P., and Sanders E. (2014).

Partially nested randomized controlled trials in education research: A guide to design and analysis.

(NCER 2014-2000). Washington, DC: National Center for Education Research, Institute of Education Sciences, U.S. Department of Education.
Source (PDF)
Li J., Chen S., Krenzke T., and Mohadjer L. (2014).

Replication variance estimation for balanced sampling: An application to the PIAAC Study.

Proceedings of the Survey Research Methods Section of the American Statistical Association (pp. 985-994). Alexandria, VA: American Statistical Association.
Source
Troppe P., Milanowski A., Webber A., Gutmann B., Reisner E., and Goertz M. (2014).

State implementation of reforms promoted under the Recovery Act.

(NCEE 2014-4011). Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education.
Source

Want to work with us?
You’ll be in great company.

About Us Careers

Westat Employees.
Westat Employee.
Client List
Centers for Disease Control and Prevention
Centers for Medicare & Medicaid Services
Substance Abuse and Mental Health Services Administration
The National Institutes of Health
AAA Foundation for Traffic Safety
The Johns Hopkins University
University of Maryland Baltimore Campus
University of Denver
U.S. Department of Veterans Affairs
U.S. Department of Transportation
U.S. Department of Justice
U.S. Department of Health and Human Services
U.S. Department of Education
U.S. Department of Agriculture
Toyota
The Verizon Foundation
Texas Education Agency
Baltimore Metropolitan Council
Teach for America
Social Security Administration
SiriusXM
Robert Wood Johnson Foundation
Organization for Economic Cooperation and Development
NYC Mayor’s Office for Economic Opportunity
National Science Foundation
Michigan Department of Health and Human Services
Maryland Cancer Registry
Internal Revenue Service
Georgia Department of Transportation
DC Public Schools
ClearWay Minnesota
Chicago Metropolitan Agency for Planning
University of Michigan
Forbes 2019: The Best Employers for DiversityForbes 2019: The Best Employers for Women

Westat is an Equal Opportunity Employer and does not discriminate on the basis of race, creed, color, religion, sex, national origin, age, veteran status, disability, marital status, sexual orientation, citizenship status, genetic information, gender identity, or any other protected status under applicable law. Notices to Employees & Applicants.