Thesis Analysis of the effectiveness of school transition policies in Addressing transition rate in upper primary in Masinga Sub County, Machakos County, Kenya
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Mount Kenya University
Abstract
This study aimed at analyzing the extent to which school transition policies address the transition
rate in upper primary in Masinga Sub-County Machakos County, Kenya. The research sought to
answer several research questions formulated to achieve the stated objectives as to identify the
Nature and Type of school transition policies in addressing the transition rate in upper primary in
Masinga Sub-County, To examine the Knowledge on school transition policies in addressing the
transition rate in upper primary in Masinga Sub-County, To identify the Frequency of use school
transition policies in addressing the transition rate in upper primary in Masinga Sub-County, To
examine adherence to school transition policies in addressing the transition rate in upper primary
in Masinga Sub-County and finally to examine the Challenges of applying school transition
policies in addressing the transition rate in upper primary in Masinga Sub-County. The study was
significant to policy makers, teachers, parents and the stakeholders to understand the existing
problem and know the causes of low transition from lower primary to Upper primary school. This
can help in formulating ways and means of utilizing government policies to solve this problem.
This way called for strategies to be taken to reduce the gap of transition. This study used mixed
methodology with a triangulation research Design. Triangulation Design is considered the most
appropriate design for conducting this study since it is the one that deals with things as they
currently are .To collect quantitative and qualitative data, the researcher used questionnaires and
interviews. The target population for this study was 18,920 pupils, 700 parents’, 120 teachers and
24 head teachers from the 24 primary schools in Masinga Sub- County. To form the respondent,
teachers’, parents and pupils were selected using random sampling. The sample of 5 schools which
represent 20% of the target population of 24 schools was sampled. This was a 10% sample size of
the target population. All the teachers of the 5 sample schools were drawn as respondent in the
study. Stratified random sampling was employed to select 20 pupils from each school. The head
teacher helped the researcher to identify 20 parents 4 per school. In order to address the research
objectives and research questions, data was collected by use of questionnaire and interview guide
after establishing its validity and reliability. Before the actual research, the questionnaire and
interview guide were piloted in schools in neighbouring Yatta Sub-County which had the same
characteristics as the location of the study. The main aim of piloting is to check on the clarity of
the questionnaire and interview guide items and instructions to eliminate ambiguity in wording.
For instrument validity, the researcher applied method of triangulation using different instruments
to collect data. Member check was used by sending the transcribed copies to interviewees for
them to confirm whether the notes taken accurately reflect their position, while reliability of the
instruments Research instruments was tested using tests retest method in order to assess their
reliability. Questionnaires were used to gather data from head teachers and teachers; an interview
schedule was used to gather data from pupils and parents. The researcher used Dunlop & Fabian
ecology transition theory was used to ensure that the study remained within the stated objectives.
Quantitative data were analyzed by use of statistical package for social sciences (SPSS) version21.
This included, the mean, mode, the media, the variance and the standard deviation. Inferential
statistics was used to analyze quantitative; this included ANOVA and correlation analyses. To
analyze qualitative data, the researcher used thematic analysis. Thematic analysis is one of a cluster
of methods that focus on identifying patterned meaning across a dataset.
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Keywords
Educational planning