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A principal component analysis of monitoring and evaluation determinants for construction projects delivery in developing countries

机译:发展中国家建设项目监测和评价决定因素的主要成分分析

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A data reduction technique is adopted to identify the critical determinants of effective monitoring and evaluation in the construction industry. The views of randomly selected construction professionals from Ghana, Nigeria and South Africa were collected through a questionnaire survey. Adopting a quantitative research approach for the study, extant literature was conducted to identify monitoring and evaluation determining factors. Subsequently, a five-point Likert scale was drawn for respondents to rank the factors. A Cronbach's alpha value of 0.953 was achieved based on standardised items. Similarly, the Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett's test of sphericity was conducted before the data were subjected to principal component analysis. The study provides a new contribution to knowledge by introducing three new variables of uncorrelated determinants that better explain effective monitoring and evaluation. These variables are described as M&E management and human relation, M&E participation and information and M&E implementation and approach. The study, therefore, recommends consideration of these factors by project managers to ensure M&E is effective and delivers successful construction project.
机译:采用数据减少技术来确定建筑业有效监测和评估的关键决定因素。通过调查问卷调查收集来自加纳,尼日利亚和南非随机选择的建筑专业人士的观点。采用定量研究方法,进行了现存文献,以确定监测和评估决定因素。随后,为受访者绘制了五点李克特量表以对因素进行排名。基于标准化项目实现了0.953的Cronbach的alpha值。同样,在数据进行主成分分析之前,进行了kaiser-meyer-olkin测量抽样充足性和Bartlett对球体的测试。该研究通过引入了三种新的不相关决定因素来为知识提供了新的贡献,更好地解释了有效的监测和评估。这些变量被描述为M&E管理和人力关系,M&E参与和信息和M&E实施和方法。因此,研究建议通过项目经理审议这些因素,以确保M&E有效并提供成功的建设项目。

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