A model for understanding teachers’ intentions to remain in STEM education

Abstract Background This study examined the relationships of various teacher retention factors with the intentions of math and science teachers to remain in the profession. With data collected from the 2007–08 Schools and Staffing Survey, a sample of 6588 secondary math and science teachers across p...

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Main Author: John R. McConnell
Format: Article
Language:English
Published: SpringerOpen 2017-04-01
Series:International Journal of STEM Education
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40594-017-0061-8
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spelling doaj-0d076ac7c9db4c388dd1fa9494e787912020-11-24T22:13:29ZengSpringerOpenInternational Journal of STEM Education2196-78222017-04-014112110.1186/s40594-017-0061-8A model for understanding teachers’ intentions to remain in STEM educationJohn R. McConnell0Department of Educational Specialties, Austin Peay State UniversityAbstract Background This study examined the relationships of various teacher retention factors with the intentions of math and science teachers to remain in the profession. With data collected from the 2007–08 Schools and Staffing Survey, a sample of 6588 secondary math and science teachers across public schools in the USA was used for structural equation modeling. Results Socioeconomic impact, student truancy, and years of experience all showed direct relationships with teacher autonomy, while administrative support, teacher autonomy, and satisfaction with salary were all directly related to these teachers’ intentions to remain in the profession. Of these teacher retention factors, satisfaction with salary was found to have the strongest relationship. Conclusions By understanding what factors are associated with the intentions of math and science teachers to continue teaching, educational policymakers and practitioners will have practical guidance in helping them make decisions to improve the retention of these teachers in secondary public schools, on whom the fields in STEM are so dependent.http://link.springer.com/article/10.1186/s40594-017-0061-8Math and science teachersSatisfaction with salaryStructural equation modelingTeacher retention
collection DOAJ
language English
format Article
sources DOAJ
author John R. McConnell
spellingShingle John R. McConnell
A model for understanding teachers’ intentions to remain in STEM education
International Journal of STEM Education
Math and science teachers
Satisfaction with salary
Structural equation modeling
Teacher retention
author_facet John R. McConnell
author_sort John R. McConnell
title A model for understanding teachers’ intentions to remain in STEM education
title_short A model for understanding teachers’ intentions to remain in STEM education
title_full A model for understanding teachers’ intentions to remain in STEM education
title_fullStr A model for understanding teachers’ intentions to remain in STEM education
title_full_unstemmed A model for understanding teachers’ intentions to remain in STEM education
title_sort model for understanding teachers’ intentions to remain in stem education
publisher SpringerOpen
series International Journal of STEM Education
issn 2196-7822
publishDate 2017-04-01
description Abstract Background This study examined the relationships of various teacher retention factors with the intentions of math and science teachers to remain in the profession. With data collected from the 2007–08 Schools and Staffing Survey, a sample of 6588 secondary math and science teachers across public schools in the USA was used for structural equation modeling. Results Socioeconomic impact, student truancy, and years of experience all showed direct relationships with teacher autonomy, while administrative support, teacher autonomy, and satisfaction with salary were all directly related to these teachers’ intentions to remain in the profession. Of these teacher retention factors, satisfaction with salary was found to have the strongest relationship. Conclusions By understanding what factors are associated with the intentions of math and science teachers to continue teaching, educational policymakers and practitioners will have practical guidance in helping them make decisions to improve the retention of these teachers in secondary public schools, on whom the fields in STEM are so dependent.
topic Math and science teachers
Satisfaction with salary
Structural equation modeling
Teacher retention
url http://link.springer.com/article/10.1186/s40594-017-0061-8
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