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Physics Teacher Retention, Migration, and Attrition

  • Stony Brook University

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

The issue of science teacher turnover has been examined in many national studies, yet most educational policies related to teacher preparation and student performance are determined at the state level. There has been a lack of research that explores this issue in specific science domains. The present nonexperimental longitudinal study examined physics teacher retention, attrition, and migration patterns over a five-year period from 2012 to 2017 in the case of New York State. The theoretical framework is based upon theories of teacher retention, attrition, and migration, specifically with regard to teacher preparation, organizational culture, and student performance in physics. The sample included 1472 teachers, 105 of whom retired from the profession. Of the remaining 1367 physics teachers, 78.3% (n = 1070) were retained in their schools, 13.2% (n = 181) left public school teaching all together preretirement, and 8.5% (n = 116) migrated to work in other school districts. Multinomial logistic regression determined physics teacher attrition was predicted by years of teaching experience (professional age), school-level socioeconomic status, school locale, and course load taught in physics. A significant interaction between professional age and urban locale suggested novice teachers in urban schools were particularly vulnerable. Physics teacher migration was predicted by professional age and school-level socioeconomic status. Of the novice teachers who migrated to other schools, approximately one-third left urban and rural schools to work in suburban schools while most of the others migrated to similar locales. Implications for the support and preparation of novice physics teachers, particularly those who work in high need schools, are discussed.

Original languageEnglish
Pages (from-to)368-391
Number of pages24
JournalJournal of Science Teacher Education
Volume33
Issue number4
DOIs
StatePublished - 2022

Keywords

  • High school
  • multinomial logistic regression
  • physics
  • teacher attrition
  • teacher retention
  • teacher turnover

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