Publication Cover
Early Years
An International Research Journal
Volume 41, 2021 - Issue 1
1,098
Views
1
CrossRef citations to date
0
Altmetric
Articles

Early childhood teachers and burn-out syndrome – perception of Croatian teachers

ORCID Icon &
Pages 36-47 | Received 24 Jul 2017, Accepted 25 May 2018, Published online: 18 Jun 2018
 

Abstract

Due to increasing demand for early childhood education, ensuring the quality of early childhood institutions has become an imperative. The quality of such institutions depends on the professional development, competences and behaviour (both positive and negative) of teachers. However, early years teachers appear to be vulnerable to ‘burn-out’ syndrome and early intervention and prevention measures may be needed to address this. During 2016, an online survey was conducted which involved 456 early childhood teachers from Croatia. The aim of this research was to investigate the ways in which age, length of work experience and level of education might affect the occurrence/intensity of burn-out syndrome in teachers. The research was conducted with the help of the Maslach Burnout Inventory (MBI-NL-ES, Schaufeli, Daamen andVan Mierlo in 1994, developed according to the MBI-ES, Maslach and Jackson in 1986). Analysis of the responses shows that individuals’ personal characteristics (biographical features) and their self-assessment are connected to each of three aspects of burn-out.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 372.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.