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Related Experiment Videos

Measuring and predicting academic generalists' work satisfaction: implications for retaining faculty.

Y M Coyle1, L A Aday, J B Battles

  • 1Division of General Internal Medicine, University of Texas Southwestern Medical Center at Dallas, 75235-9103, USA. yvonne.coyle@email.swmed.edu

Academic Medicine : Journal of the Association of American Medical Colleges
|September 25, 1999
PubMed
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A new measure identifies key factors influencing academic generalists' work satisfaction, including autonomy and professional status. This tool can guide interventions to boost job satisfaction and retention for these essential medical professionals.

Area of Science:

  • Medical Education
  • Health Professions Education
  • Workplace Psychology

Background:

  • Academic generalists are crucial for healthcare delivery and medical training.
  • Understanding and improving their work satisfaction is vital for retention and performance.
  • Existing measures may not fully capture the multifaceted nature of academic generalist work satisfaction.

Purpose of the Study:

  • To develop and validate a reliable measure for assessing work satisfaction among academic generalists.
  • To identify specific dimensions of work satisfaction that predict overall job satisfaction and intent to leave.
  • To inform the development of targeted interventions to enhance the work environment for academic generalists.

Main Methods:

  • A survey was administered to generalist faculty at a major academic medical center.

Related Experiment Videos

  • Reliability was assessed using Cronbach's alpha; validity was confirmed using a validated global work-satisfaction measure.
  • Regression analyses identified predictors of global work satisfaction and intent to leave.

    • Main Results:

    • Eight dimensions of work satisfaction significantly predicted global satisfaction and intent to leave: autonomy, professional status, teaching, clinical activities, relationships, governance, compensation, and advancement.
    • Faculty characteristics including gender, age, race/ethnicity, and living with children also predicted outcomes.
    • The developed measure demonstrated good reliability and validity.

    Conclusions:

    • The validated measure effectively identifies key drivers of work satisfaction and turnover intention in academic generalists.
    • This measure can serve as a management tool for institutions aiming to improve faculty satisfaction, performance, and retention.
    • Findings highlight the importance of addressing both work-environment factors and faculty demographics to foster a positive academic medical setting.