| dc.description.abstract | This research sought to examine influence of monitoring and evaluation integration on
sustainability of development projects in Kenya by focusing on aspects of M&E
integration on decent work program in Nairobi County. This study sought to do this by
observing the extent of integration of these key processes and was guided by 5
hypotheses derived from study objectives. Empirical literature of the works of widely
published scholars was reviewed in this study. The study was hinged one Results Based
Framework as a key theoretical mode underpinning this study. The nexus of
interrelationships between study variables was demonstrated by a conceptual framework
configured. The study adopted a descriptive survey design with a target population of
100 respondents who comprised the management, extension staff and field extension
workers. Using the Krejcie and Morgan Table for determining sample size, 80
respondents were selected to constitute the sample size for this study. To achieve a
desired representation, both cluster and simple random sampling was used. A
seven level questionnaire with both structured and unstructured questions with a 5point
likert scale was constructed and used. Data obtained was analyzed using SPSS
Version 17.0. Qualitative data was analyzed by making inferences from the expressions
and opinions of the respondents around the variables and presented descriptively to make
inferences. The specific effect of independent variables against the dependent variable
was tested through multivariate analysis while the significance of independent variables
against the dependent variable was analyzed through regression and correlation.
Instrument’s validity was determined by using both content and constructs validity while
reliability was determined by using the Cronbach-Alpha Coefficient. Pilot testing of the
questionnaire was done 2 weeks prior to the main study. It is hoped this study would
generate vital information and add to the pool of knowledge to the ever-expanding
discipline of Project Management. At program level, funding agencies will use these
findings to add value, refine evaluation methodology and enhance decision-making. From
the findings, multiple regression models implied that a unit change in accountability in
M&E integration in 1.000 unit increase in sustainability of development projects. A 1.000
unit increase in efficiency in M&E integration led to 1.076 increases in sustainability of
development projects. The findings also indicated that there was a highly significant
relationship (with t statistic p value <0.023 < 0.05) between accountability in M&E
integration and sustainability of development programs. Again, from the same findings,
there existed a highly significant relationship (with t statistic p value <0.0015 < 0.05)
between efficiency in M&E integration and sustainability of development programs.
However there seemed to exist no significant relationship between planning in M&E
integration and sustainability of development programs with (p = 0.220 > 0.05), no
significant relationship between decision making in M&E integration and sustainability
of development programs with (p = 1.000 > 0.05). Finally, there appears to be no
significant relationship between research in monitoring and evaluation integration and
sustainability of development projects (with t statistic p value <0.30 > 0.05). In nutshell,
from these findings, the researcher accepts the 1st and 4th hypothesis and rejects the 2nd,
3rd and 5th hypothesis. From the regression analysis only accountability in M&E
integration and Efficiency in M&E integration has a positive significance on
sustainability of development programs in Kenya | en_US |
