dc.contributor.author | Onyango, Lukes | |
dc.contributor.author | Gathii, John | |
dc.contributor.author | Njenga, Gitahi | |
dc.contributor.author | Koima, Joel | |
dc.date.accessioned | 2020-02-27T08:53:05Z | |
dc.date.available | 2020-02-27T08:53:05Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 2319-7064 | |
dc.identifier.uri | http://10.1.130.140:8080/xmlui/handle/123456789/323 | |
dc.description | FULL TEXT | en_US |
dc.description.abstract | The purpose of this research study was to Efficacy of Beneficiary Accountability on Implementation of Development
Projects. A Comparative Analysis of Machakos and Embu County, Kenya. The study was guided by the main determinants of
Monitoring and Evaluation which was beneficiary accountability. The moderating effects were government funding and disbursement of
funds. The research adopted a Comparative research design with a mixed method centered within a wider exploratory, cross-sectional
framework. The study was conducted in Machakos and Embu County. The population of this study was 132 staff mandated to monitor
and evaluate projects undertaken under County government devolved functions from Machakos and Embu County. The sample
distribution was 56 county government officials from Machakos and 43 from Embu since the two counties are relatively not
homogeneous in terms of geographical location in Kenya. A sample of 99 respondents was determined and individual elements in different
categories were also determined using a stratified random sampling technique. Questionnaires were distributed to respondents through a
“drop and pick later” method and were subjected to a reliability test using Cronbach’s alpha. Data were analyzed quantitatively by means
of Statistical Package for Social Sciences (SPSS). The study findings indicated beneficiary accountability (β4 = 0.432; p-value = 0.002)
was found to have a significant effect respectively. The results obtained show the adjusted r square value of r2 = .514 which indicate that
when all the variables were combined, the multiple linear regression model could explain for approximately 51% of the variation in the
dependent variable by the variation in the independent variables on Implementation of County Projects. The study recommends that those
charged with the responsibility of carrying out M&E, should be appropriately empowered with the necessary knowledge in order to have
the grasp of how these tools are used in order to utilize them. | en_US |
dc.language.iso | en | en_US |
dc.publisher | International Journal of Science and Research | en_US |
dc.subject | Beneficiary Accountability, Learning Capacity, Monitoring and Evaluation, Performance Indicators, Participatory tracking | en_US |
dc.title | Efficacy of Beneficiary Accountability on Implementation of Development Projects: A Comparative Analysis of Machakos and Embu County, Kenya | en_US |
dc.type | Article | en_US |