Relationships Between Self-Reported Leadership Practices, Job Satisfaction, and Demographics of Radiology Administrators

Radiol Technol. 2015 Sep-Oct;87(1):10-20.

Abstract

Purpose: To evaluate the self-reported leadership practices of radiology administrators and the demographic characteristics associated with those leadership practices. The effect of these demographic characteristics and leadership practices on job satisfaction also was studied.

Methods: One-hundred forty-nine American Society of Radiologic Technologists members who indicated they have a position of administrator/manager, chief technologist, or supervisor completed a demographic survey and the Leadership Practices Inventory (LPI) self-survey tool. The LPI divides successful leadership into 5 practices: Challenge the Process, Inspire a Shared Vision, Enable Others to Act, Encourage the Heart, and Model the Way.

Results: The categories Challenge the Process and Inspire a Shared Vision had the lowest mean scores and the widest variation. Having had formal leadership training and being older were demographic characteristics associated with higher LPI scores. Having a higher LPI score and having had formal leadership training were associated with higher job satisfaction.

Discussion: Formal leadership training was the only statistically significant variable when using LPI score as the response variable.

Conclusion: The results of this study show that radiology administrators would benefit from formal leadership training that focuses on challenging the process and inspiring a shared vision.

MeSH terms

  • Administrative Personnel / classification
  • Administrative Personnel / statistics & numerical data*
  • Adult
  • Age Distribution
  • Female
  • Health Services Administration / statistics & numerical data
  • Humans
  • Job Satisfaction*
  • Leadership*
  • Male
  • Middle Aged
  • Organizational Objectives*
  • Professional Competence / statistics & numerical data*
  • Self-Assessment
  • Sex Distribution
  • Surveys and Questionnaires
  • Technology, Radiologic* / statistics & numerical data
  • United States
  • Workforce