Investigation Of The Perceived Mobbing Behaviours By Counselor Teachers
The aim of this study is to research into the mobbing behaviour perceived by teacher counsellors in terms of variables. Descriptive research method has been used in this study. The universe of this study has included the teacher counsellors working at Gaziantep. As it is desired to be reached the...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | article |
| Lenguaje: | EN TR |
| Publicado: |
Muhammed Yıldız
2017
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/3ef1bb32c6d54d84a3fce4ba3df63d42 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | The aim of this study is to research into the mobbing behaviour perceived by teacher counsellors in
terms of variables. Descriptive research method has been used in this study. The universe of this study
has included the teacher counsellors working at Gaziantep. As it is desired to be reached the whole of
the universe in the study, the way of sampling is not preferred. 219 teachers working on seven different
districts of Gaziantep have comprised the sample group of this study. With the purpose of providing the
description of the personal information of the people included in the study, ‘Occupational Satisfaction
Scale’ has been used, and with the purpose of evaluating the perceived mobbing behaviour ‘Mobbing
Detection Scale’ which includes 35 items has been used. Data collection tools were delivered to the
schools with a directive and they were retaken in closed envelopes. The obtained data was analyzed
with SPSS program. With the aim of determining whether occupational satisfaction and personal
variables predicts the perceived mobbing, regression analysis has been used in the study. The variables
of marital status, educational level, occupational seniority and school types have been found to be a
meaningful predictor of mobbing behaviour perceived by teacher counsellors. Suggestions have been
developed in line with the obtained data.
Key |
|---|