JOURNAL ARTICLE

School Mental Health Professionals' Perceptions of Principal Leadership and Working Conditions During Remote and Hybrid School Operations During the COVID-19 Pandemic.

  • Published In: Journal of Education Human Resources, 2024, v. 42, n. 3. P. 407 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Griffard, Megan K. Rauch; Marraccini, Marisa E.; Wood, Caitlin; Whitcomb, Cason; Griffin, Dana; Sartain, Lauren 3 of 3

Abstract

This article focuses on school mental health professionals' perceptions of principal leadership and working conditions during remote and hybrid school operations amid the COVID-19 pandemic. Drawing on survey data from 74 school counselors, psychologists, social workers, nurses, and related professionals in a southeastern U.S. state, along with in-depth interviews with 14 participants, the study found that positive perceptions of principal leadership and working conditions prior to school closures were significantly associated with favorable perceptions during remote schooling. Principal support was also positively linked to better working conditions, highlighting the role of consistent and supportive leadership in sustaining school mental health professionals' work environments during crisis. Qualitative findings revealed generally supportive principal practices and collaborative staff efforts, though challenges related to resources, role clarity, and service delivery persisted. The study underscores the importance of equipping school leaders with training to better support mental health staff, especially during periods of stress and uncertainty.

Additional Information

  • Source:Journal of Education Human Resources. 2024/07, Vol. 42, Issue 3, p407
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2024
  • ISSN:2562-783X
  • DOI:10.3138/jehr-2022-0012
  • Accession Number:184509181
  • Copyright Statement:Copyright of Journal of Education Human Resources is the property of University of Toronto Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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