Abstract
The study investigated the relationship between supervisory styles of principals/head and organizational climate of Primary and secondary schools in Patna. Two research objectives guided the study while a null hypothesis was tested at 0.05 level of significance in order to make decisions on the issues investigated. The data for the study were collected with the use of two questionnaires called Supervisory Styles of Principle/Head (SSHP) and School Organizational Climate (SOC). These were pilot tested using schools composed of 7 Head teachers and 93 students from the same area of that study, bringing the total subjects to 105. These 105 subjects did not form part of the main study. The reliability coefficient of the instruments was ascertained through the split-half method which gave reliability coefficient of 0.78. The sample of the study was 560 subjects composed of principals, teachers and students, selected by stratified random sampling procedure. The analysis of data collected was done using mean, standard deviation and Pearson Product-Moment). The results of the study indicated low relationship ¡ Correlation Coefficient between the organizational climate of schools and supervisory roles of principals/Head of secondary schools in Patna.
The authors profoundly appreciate all the people who have successfully contributed to ensuring this paper in place. Their contributions are acknowledged however their names cannot be mentioned.
The author declared no conflict of interest.
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2016, Author(s)
Responding Author Information
Hemant Kumar @ info@ijsi.in
Related Content
A Study on Relationship between Supervisory Styles of Principle/Head and Organizational Climate of Primary & Secondary Schools in Patna
Total Download: 0 | Total View: 492
PlumX Matrix
Plum Analytics uses research metrics to help answer the questions and tell the stories about research. Research metrics that immediately measure awareness and interest give us new ways to uncover and tell the stories of research.
Dimensions Matrix
Dimensions is a next-generation linked research information system that makes it easier to find and access the most relevant information, analyze the academic and broader outcomes of research, and gather insights to inform future strategy. (digital science)