Staying Put: Positive Spillovers on Teacher Retention From a Middle School Science Initiative

Abstract

Teacher shortages, especially in high-need subjects and schools, are a long-standing issue in many districts, and teacher turnover is a key driver. In this article, we examine the association between Urban Advantage (UA), a professional development-focused science initiative, and middle school science teacher retention in the nation’s largest school district, New York City (NYC). We use detailed teacher-level administrative personnel data on 19 cohorts of teachers from NYC and UA program participation data and estimate likelihood of turnover using a discrete-time hazard model. UA teachers are roughly 3.8 percentage points less likely than similarly situated non-UA teachers to leave their school the following year. This study contributes to the limited evidence on how professional development-focused programs can promote teacher retention in hard-to-staff subjects and schools.

Keywords

middle schools professional development retention science education museum education longitudinal studies regression analyses secondary data analysis

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References

About UA. (n.d.). Urban Advantage NYC. Retrieved June 27, 2023, from https://www.urbanadvantagenyc.org/about-ua/

Allen

Sims

(2017). Improving science teacher retention: Do National STEM Learning Network professional development courses keep science teachers in the classroom? Wellcome Trust. https://cms.wellcome.org/sites/default/files/science-teacher-retention.pdf

Atteberry

Loeb

Wyckoff

(2017). Teacher churning: Reassignment rates and implications for student achievement. Educational Evaluation and Policy Analysis, 39(1), 3–30. https://doi.org/10.3102/0162373716659929

Adnot

Dee

Katz

Wyckoff

(2016). Teacher turnover, teacher quality, and student achievement in DCPS (No. w21922). National Bureau of Economic Research. https://www.nber.org/system/files/working_papers/w21922/w21922.pdf

Baron

Sklarwitz

Bang

Shatara

(2020). What teachers retain from historic site-based professional development. Journal of Teacher Education, 71(4), 392–408. https://doi.org/10.1177/0022487119841889

Barnes

Crowe

Schaefer

(2007). The cost of teacher turnover in five school districts: A pilot study. National Commission on Teaching and America’s Future. https://files.eric.ed.gov/fulltext/ED497176.pdf

Bastian

K. C.

Fuller

S. C.

(2023). Educator attrition and mobility during the Covid-19 pandemic. Educational Researcher, 52(8), 516–520.

Bevan

Dillon

Hein

G. E.

Macdonald

Michalchik

Miller

Root

Rudder

Xanthoudaki

Yoon

(2010). Making science matter: Collaborations between informal science education organizations and schools. Center for Advancement of Informal Science Education (CAISE). https://www.informalscience.org/sites/default/files/MakingScienceMatter.pdf

Bleiberg

Kraft

M. A.

(2022). What happened to the K-12 education labor market during COVID? The acute need for better data systems. (EdWorkingPaper: 22-544). Annenberg Institute at Brown University. https://doi.org/10.26300/2xw0-v642

10.

Carroll

(2007). The high cost of teacher turnover. Prepared for the National Commission on Teaching and America’s Future. https://files.eric.ed.gov/fulltext/ED498001.pdf

11.

Carver-Thomas

Leung

Burns

(2021). California teachers and COVID-19: How the pandemic is impacting the teacher workforce. Learning Policy Institute.

12.

Carver-Thomas

Darling-Hammond

(2017). Teacher turnover: Why it matters and what we can do about it. Learning Policy Institute. https://learningpolicyinstitute.org/sites/default/files/product-files/Teacher_Turnover_REPORT.pdf

13.

Clotfelter

C. T.

Glennie

E. J.

Ladd

H. F.

Vigdor

J. L.

(2008). Teacher bonuses and teacher retention in low-performing schools evidence from the North Carolina $1,800 teacher bonus program. Public Finance Review, 36(1), 63–87. https://doi.org/10.1177/1091142106291662

14.

Clotfelter

C. T.

Ladd

H. F.

Vigdor

J. L.

(2011). Teacher mobility, school segregation, and pay-based policies to level the playing field. Education Finance and Policy, 6(3), 399–438. https://doi.org/10.1162/EDFP_a_00040

15.

Coldwell

(2017). Exploring the influence of professional development on teacher careers: A path model approach. Teaching and Teacher Education, 61, 189–198. https://doi.org/10.1016/j.tate.2016.10.015

16.

Cowan

Goldhaber

(2018). Do bonuses affect teacher staffing and student achievement in high poverty schools? Evidence from an incentive for national board certified teachers in Washington State. Economics of Education Review, 65, 138–152. https://doi.org/10.1016/j.econedurev.2018.06.010

17.

DeFeo

D. J.

Tran

Hirshberg

Cope

Cravez

(2017). The cost of teacher turnover in Alaska. Center for Alaska Education Policy Research (CAEPR). https://scholarworks.alaska.edu/handle/11122/7815

18.

DiGaudio

L. M.

(2017). Implications of the school improvement engine for teacher retention and school organizational health [Doctoral dissertation, Walden University]. ProQuest Dissertations Publishing. https://www.proquest.com/pqdtglobal/docview/1864787149/DB9FF943F6154FE9PQ

19.

Erickson

S. J.

(2007). An examination of the relationship between professional development and teacher turnover. [Doctoral dissertation, University of Oregon]. ProQuest Dissertations Publishing.

20.

Feng

Sass

T. R.

(2018). The impact of incentives to recruit and retain teachers in “hard-to-staff” subjects. Journal of Policy Analysis and Management, 37(1), 112–135. https://doi.org/10.1002/pam.22037

21.

Fuller

Waite

Irribarra

(2016). Explaining teacher turnover: School cohesion and intrinsic motivation in Los Angeles. American Journal of Education, 122(4), 537–567. https://doi.org/10.1086/687272

22.

Garet

M. S.

Cronen

Eaton

Kurki

Ludwig

Jones

Uekawa

Falk

Bloom

H. S.

Doolittle

Zhu

Sztejnberg

Silverberg

(2008). The impact of two professional development interventions on early reading instruction and achievement (NCEE 2008-4030). National Center for Education Evaluation and Regional Assistance. https://ies.ed.gov/ncee/pdf/20084030.pdf

23.

Guarino

C. M.

Santibañez

Daley

G. A.

Brewer

(2004). A review of the research literature on teacher recruitment and retention (TR-164-EDU). RAND. https://www.rand.org/pubs/technical_reports/TR164.html

24.

Hammerness

MacPherson

Macdonald

Roditi

Curtis-Bey

(2017). What does it take to sustain a productive partnership in education? Phi Delta Kappan, 99(1), 15–20. https://doi.org/10.1177/0031721717728272.

25.

Han

Hur

(2022). Managing turnover of STEM teacher workforce. Education and Urban Society, 54(2), 205–222. https://doi.org/10.1177/00131245211053562

26.

Hanushek

E. A.

Rivkin

S. G.

Schiman

J. C.

(2016). Dynamic effects of teacher turnover on the quality of instruction. Economics of Education Review, 55, 132–148. https://doi.org/10.1016/j.econedurev.2016.08.004

27.

Ingersoll

R. M.

(2003). Turnover and shortages among science and mathematics teachers in the United States. In Rhoton

Bowers

(Eds.), Science teacher retention: Mentoring and renewal (pp. 1–12). NSTA Press.

28.

Ingersoll

R. M.

Perda

(2010). Is the supply of mathematics and science teachers sufficient? American Educational Research Journal, 47(3), 563–594. https://doi.org/10.3102/0002831210370711

29.

Kraft

M. A.

Marinell

W. H.

Yee

(2016). School organizational contexts, teacher turnover, and student achievement: Evidence from panel data. American Educational Research Journal, 53(5), 1411–1449. https://doi.org/10.3102/0002831216667478

30.

Lankford

Loeb

Wyckoff

(2002). Teacher sorting and plight of urban schools: A descriptive analysis. Educational Evaluation and Policy Analysis, 24(1), 37–62. https://doi.org/10.3102/01623737024001037

31.

Liu

Phelps

(2020). Does teacher learning last? Understanding how much teachers retain their knowledge after professional development. Journal of Teacher Education, 71(5), 537–550. https://doi.org/10.1177/0022487119886290

32.

Loeb

Miller

L. C.

Strunk

K. O.

(2009). The state role in teacher professional development and education throughout teachers’ careers. Education Finance and Policy, 4(2), 212–228. https://doi.org/10.1162/edfp.2009.4.2.212

33.

Loucks-Horsley

Matsumoto

(1999). Research on professional development for teachers of mathematics and science: The state of the scene. School Science and Mathematics, 99(5), 258–271. https://doi.org/10.1111/j.1949-8594.1999.tb17484.x

34.

Marinell

W. H.

Coca

V. M.

(2013). Who stays and who leaves? Findings from a three-part study of teacher turnover in NYC middle schools. Research Alliance for New York City Schools. http://media.ranycs.org/2013/003

35.

Nguyen

T. D.

Lam

C. B.

Bruno

(2022). Is there a national teacher shortage? A systematic examination of reports of teacher shortages in the United States (EdWorkingPaper: 22-631). Annenberg Institute at Brown University: https://doi.org/10.26300/76eq-hj32

36.

Nguyen

T. D.

Pham

L. D.

Crouch

Springer

M. G.

(2020). The correlates of teacher turnover: An updated and expanded Meta-analysis of the literature. Educational Research Review, 31, 100355. https://doi.org/10.1016/j.edurev.2020.100355

37.

Nguyen

T. D.

Redding

(2018). Changes in the demographics, qualifications, and turnover of American STEM teachers, 1988–2012. AERA Open, 4(3), 1–13. https://doi.org/10.1177/2332858418802790

38.

Nguyen

T. D.

Springer

M. G.

(2021). A conceptual framework of teacher turnover: A systematic review of the empirical international literature and insights from the employee turnover literature. Educational Review, 75(5), 993–1028. https://doi.org/10.1080/00131911.2021.1940103

39.

Noonoo

(2022, May 2). The mental health crisis causing teachers to quit. EdSurge. https://www.edsurge.com/news/2022-05-02-the-mental-health-crisis-causing-teachers-to-quit

40.

Perda

(2013). Transitions into and out of teaching: A longitudinal analysis of early career teacher turnover [Doctoral dissertation, University of Pennsylvania]. ProQuest Dissertations Publishing.

41.

Reininger

(2012). Hometown disadvantage? It depends on where you’re from: Teachers’ location preferences and the implications for staffing schools. Educational Evaluation and Policy Analysis, 34(2), 127–145. https://doi.org/10.3102/0162373711420864

42.

Ronfeldt

Loeb

Wyckoff

(2013). How teacher turnover harms student achievement. American Educational Research Journal, 50(1), 4–36. https://doi.org/10.3102/0002831212463813

43.

Sorensen

L. C.

Ladd

H. F.

(2020). The hidden costs of teacher turnover. AERA Open, 6(1), 1–24. https://doi.org/10.1177/2332858420905812

44.

Slagus

L. M.

Kelly

A. M

. (2024). Professional development partnership between urban middle school science teachers and informal science institutions. Research in Science & Technological Education, 42(2), 294–314. https://doi.org/10.1080/02635143.2022.2070148

45.

Vagi

Pivovarova

Miedel Barnard

(2019). Keeping our best? A survival analysis examining a measure of preservice teacher quality and teacher attrition. Journal of Teacher Education, 70(2), 115–127. https://doi.org/10.1177/0022487117725025

46.

Watlington

Shockley

Guglielmino

Felsher

(2010). The high cost of leaving: An analysis of the cost of teacher turnover. Journal of Education Finance, 36(1), 22–37. http://doi.org/10.1353/jef.0.0028

47.

Weinstein

Shiferaw

O’Hagan

(2023). The urban advantage: Comprehensive science professional development and student achievement. SSRN Working Paper: 4542712. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4542712

48.

Weinstein

Whitesell

E. R.

Schwartz

A. E.

(2014). Museums, zoos, and gardens: How formal-informal partnerships can impact urban students’ performance in science. Evaluation Review, 38(6), 514–545. https://doi.org/10.1177/0193841X14553299

49.

Whitesell

E. R.

(2016). A day at the museum: The impact of field trips on middle school science achievement. Journal of Research in Science Teaching, 53(7), 1036–1054. https://doi.org/10.1002/tea.21322