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Dimensions of Kenyan University Academic Staff’s Job Satisfaction in View of Various Managerial Leadership Practices

机译:鉴于各种管理领导实践,肯尼亚大学学术人员工作满意度的维度

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Attaining high levels of academic staff job satisfaction has proved to be challenging for university management. This paper is an excerpt of a study that investigated the magnitude of Kenyan University academic staff’s job satisfaction based on various managerial leadership practices. The study focused on the Rift Valley Region (RVR) of Kenya. The study targeted 2,773 members of university management and lecturers in the chartered public and private universities with their main campuses in Rift Valley Region (RVR) with a sample of 605 participants. Convergent parallel mixed methods design was employed with census, random and systematic sampling used to select the respondents. Purposive sampling was also used to select information-rich cases. Questionnaires, interview and document analysis guides were the main data collection instruments. Data analysis was done by coding and categorizing qualitative data into themes while quantitative data was analysed using descriptive statistics, Pearson correlation coefficient, independent-samples t-test, One-way ANOVA and regression coefficients, with the use of the Statistical Package for Social Science (SPSS) version 20. The study established some managerial leadership practices that had strong association with lecturers’ job satisfaction in Kenyan universities.
机译:事实证明,达到高水平的学术人员工作满意度对大学管理来说是一个挑战。本文摘自一项研究的摘录,该研究基于各种管理领导实践调查了肯尼亚大学学术人员的工作满意度。该研究的重点是肯尼亚的裂谷地区(RVR)。这项研究的目标是2 773名大学管理人员和特许公立和私立大学的讲师,其主要校区在裂谷地区(RVR),其中包括605名参与者。采用人口普查,随机和系统抽样的收敛并行混合方法设计来选择受访者。目的抽样还用于选择信息丰富的案例。问卷,访谈和文件分析指南是主要的数据收集工具。通过将定性数据编码和分类为主题来进行数据分析,同时使用描述性统计,Pearson相关系数,独立样本t检验,单向方差分析和回归系数对定量数据进行分析,并使用社会科学统计软件包(SPSS)版本20。该研究建立了一些管理领导实践,这些实践与肯尼亚大学的讲师的工作满意度密切相关。

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