Open AccessSports Education Institutions in Turkey and Their Managerial Effectiveness
Author(s) -
Fatih Mehmet Uğurlu
Publication year - 2018
Publication title -
world journal of education
Language(s) - English
Resource type - Journals
eISSN - 1925-0754
pISSN - 1925-0746
DOI - 10.5430/wje.v8n5p172
Subject(s) - psychology , regression analysis , scale (ratio) , linear regression , pearson product moment correlation coefficient , explained variation , multilevel model , applied psychology , statistics , social psychology , mathematics , geography , cartography
The aim of this study is to investigate the managerial effectiveness of administrators according to the opinions of theacademicians who work in sports sciences faculties in Turkey. In order to collect the opinions of the academicians,the “Managerial Effectiveness Evaluation (MEE) Scale” was adopted. The MEE scale consists of 5 subscales and 44matters. The gathered data was analyzed with parametric and non-parametric tests by using SPSS 22.0 packagesoftware. Additionally, in order to determine the level and course of the relationship between the dependent variables,“Pearson correlation analysis” was conducted. To better explain the quality of the determined relationship anddetermine the prediction between MEE scale and its subscales, “multiple regression” analysis was conducted.Considering the opinions of the academicians, significant differences were determined in the gender variable in the“Leadership” subscale (p< 0.05). In the correlation analysis, it was determined that the strongest relationship wasbetween the MEE scale and the “Planning and Decision-making” subscale (r= 0.980; p< 0.001) in a positive way andat very high level. With the regression analysis, four distinct model structures were built with 6 independentvariables (MEE scale and its subscales). As a result of these 4 model structures, it was determined that the subscalewith the strongest prediction of the MEE scale was the “Planning and Decision-making” subscale. Furthermore, itwas determined that this subscale predicted the 96% of the variance of MEE scale (R2=0.960).