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Supporting in-Service Special Educational Needs Teachers to Stay Engaged: A Two-Step Hierarchical Linear Regression Analysis
This study aims to propose and evaluate a model for work engagement in Special Educational Needs (SEN) teachers in Greece, in order to get insights into the effect of parameters such as job satisfaction, burnout and other personal characteristics. The sample consisted of 503 female and 161 male teac...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816535/ http://dx.doi.org/10.1007/s10758-022-09640-8 |
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author | Antoniou, Alexandros-Stamatios Charitaki, Garyfalia Mastrogiannis, Dimitris |
author_facet | Antoniou, Alexandros-Stamatios Charitaki, Garyfalia Mastrogiannis, Dimitris |
author_sort | Antoniou, Alexandros-Stamatios |
collection | PubMed |
description | This study aims to propose and evaluate a model for work engagement in Special Educational Needs (SEN) teachers in Greece, in order to get insights into the effect of parameters such as job satisfaction, burnout and other personal characteristics. The sample consisted of 503 female and 161 male teachers of both primary and secondary education, working in special and mainstream educational settings. Based on these data, a two-step hierarchical regression model was used to identify predictors of teachers’ work engagement. Moreover, confirmatory factor analysis indicated a good fit (TLI = 0.974 > 0.95, RMSEA = 0.043 < 0.08, CFI = 0.952 ≥ . 0.900, χ(2)/df = 1.3 < 2, p > 0.05 and SRMR = 0.027 < 0.08) of the first order structural model for work engagement (WE-JS-BO). The second-order structural model for the work engagement included teachers’ demographic parameters, labeled personal characteristics, which yielded a good fit (TLI = 0.978 > 0.95, RMSEA = 0.039 < 0.08, CFI = 0.964 ≥ 0.90, χ(2)/df = 1. 1 < 2, p >0.05 and SRMR = 0.024 < 0.08) Results are discussed for their possible applications in special education teachers’ training. |
format | Online Article Text |
id | pubmed-9816535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-98165352023-01-06 Supporting in-Service Special Educational Needs Teachers to Stay Engaged: A Two-Step Hierarchical Linear Regression Analysis Antoniou, Alexandros-Stamatios Charitaki, Garyfalia Mastrogiannis, Dimitris Tech Know Learn Original Research This study aims to propose and evaluate a model for work engagement in Special Educational Needs (SEN) teachers in Greece, in order to get insights into the effect of parameters such as job satisfaction, burnout and other personal characteristics. The sample consisted of 503 female and 161 male teachers of both primary and secondary education, working in special and mainstream educational settings. Based on these data, a two-step hierarchical regression model was used to identify predictors of teachers’ work engagement. Moreover, confirmatory factor analysis indicated a good fit (TLI = 0.974 > 0.95, RMSEA = 0.043 < 0.08, CFI = 0.952 ≥ . 0.900, χ(2)/df = 1.3 < 2, p > 0.05 and SRMR = 0.027 < 0.08) of the first order structural model for work engagement (WE-JS-BO). The second-order structural model for the work engagement included teachers’ demographic parameters, labeled personal characteristics, which yielded a good fit (TLI = 0.978 > 0.95, RMSEA = 0.039 < 0.08, CFI = 0.964 ≥ 0.90, χ(2)/df = 1. 1 < 2, p >0.05 and SRMR = 0.024 < 0.08) Results are discussed for their possible applications in special education teachers’ training. Springer Netherlands 2023-01-06 /pmc/articles/PMC9816535/ http://dx.doi.org/10.1007/s10758-022-09640-8 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Antoniou, Alexandros-Stamatios Charitaki, Garyfalia Mastrogiannis, Dimitris Supporting in-Service Special Educational Needs Teachers to Stay Engaged: A Two-Step Hierarchical Linear Regression Analysis |
title | Supporting in-Service Special Educational Needs Teachers to Stay Engaged: A Two-Step Hierarchical Linear Regression Analysis |
title_full | Supporting in-Service Special Educational Needs Teachers to Stay Engaged: A Two-Step Hierarchical Linear Regression Analysis |
title_fullStr | Supporting in-Service Special Educational Needs Teachers to Stay Engaged: A Two-Step Hierarchical Linear Regression Analysis |
title_full_unstemmed | Supporting in-Service Special Educational Needs Teachers to Stay Engaged: A Two-Step Hierarchical Linear Regression Analysis |
title_short | Supporting in-Service Special Educational Needs Teachers to Stay Engaged: A Two-Step Hierarchical Linear Regression Analysis |
title_sort | supporting in-service special educational needs teachers to stay engaged: a two-step hierarchical linear regression analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816535/ http://dx.doi.org/10.1007/s10758-022-09640-8 |
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