UTHM Institutional Repository

Investigating the roles of supervisory working alliance as mediator for overall supervision effective using structural equation modeling

Ismail, Affero and Nasir, Suriana and Hassan , Razali and Masek, Alias (2015) Investigating the roles of supervisory working alliance as mediator for overall supervision effective using structural equation modeling. Advanced Science Letters, 21 (5). pp. 1221-1224. ISSN 19367317

Full text not available from this repository.

Abstract

Institutions of higher education are willing to allocate more support including financial and human resources on students training. However, it is almost impossible to achieve this goal if the training is not effective. Training in this context will be focusing on supervision as a part of training element. This paper suggests that Supervisory Working Alliance that stands on three components (Supervision Goal, Supervision Task and Bond Development) is an influential mediation factor for Overall Effective Supervision. The independent variable in this research was represented by Supervisory Input Support. However, different researchers might select different variables and segregate them into different forms of sub elements. This study found that Supervisory Working Alliance mediates the relationship between Supervisory Input Support and Overall Supervision Effectiveness with full mediation. For future research, these variables should be empirically researched together with other variables to find the strongest influence on overall supervision effectiveness.

Item Type: Article
Uncontrolled Keywords: Supervisory input; effective supervision; working alliance
Subjects: L Education > LB Theory and practice of education > LB2300 Higher education
Divisions: Faculty of Technical and Vocational Education > Department of Engineering Education
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 31 Dec 2018 07:18
Last Modified: 31 Dec 2018 07:18
URI: http://eprints.uthm.edu.my/id/eprint/10449
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item