| dc.description.abstract | The District Education Office plays a pivotal role in the implementation of
education services in Kenya, and in effect, in the attainment of Education for
All (EFA) and United Nations 2nd Millennium Development Goal. It is thus,
paramount, that the office has requisite capacity to deliver the required services
at this level.
Responses m capacity assessment are often measured as ratings or
rankings. Usual analysis of vanance and linear based analysis are not
appropriate for these data. Alternative methods based on the generalized linear
models should therefore be applied for analysis of this kind of data. This Project
proposes an elaborate and articulate means of assessing capacities of the
District Education Office. In this project, Multinomial Logistic Regression has
been used to assess the factors-contributing to capacity. The response variable
is the Capacity to implement KESSP. Eight (8) variables were selected as
explanatory variables. These variables represent the six thematic areas used in
capacity assessment namely: Organizational home, Leadership, Staffing,
Funding, Materials and Work practices.
Model fitting results shows that inasmuch as there is fair Capacity to
implement KESSP at the District Education Office level. Factors that are
evidently contributing to capacity are on Organizational home and Capacity by
Staff. The capacity by staff entails the presence of the requisite number of staff
and the skills and qualifications the staff possess. | en |
