Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017;4(1):7.
doi: 10.1186/s40594-017-0061-8. Epub 2017 Apr 5.

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

Affiliations

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

John R McConnell 3rd. Int J STEM Educ. 2017.

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.

Keywords: Math and science teachers; Satisfaction with salary; Structural equation modeling; Teacher retention.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Model of hypothetical relationships in the study
Fig. 2
Fig. 2
Final structural model

References

    1. Abbott AD. The system of professions: an essay on the division of expert labor. Chicago, IL: University of Chicago Press; 1988.
    1. Anderson JC, Gerbing DW. Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin. 1988;103:411–423. doi: 10.1037/0033-2909.103.3.411. - DOI
    1. Barnes J, Cote J, Cudeck R, Malthouse E. Factor analysis—checking assumptions of normality before conducting factor analysis. Journal of Consumer Psychology. 2001;10(1,2):79–81.
    1. Baumgartner H, Homburg C. Applications of structural equation modeling in marketing and consumer research: a review. International Journal of Research in Marketing. 1996;13:139–161. doi: 10.1016/0167-8116(95)00038-0. - DOI
    1. Bentler P, Bagozzi RP, Cudeck R, Iacobucci D. Structural equation modeling—SEM using correlation or covariance matrices. Journal of Consumer Psychology. 2001;10(1,2):85–87.

LinkOut - more resources