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This study investigated parent-related influence on students’ academic performance in
public secondary schools in Kangundo Sub-county, Kenya. It was guided by the following
research objectives to: establish the influence of parental level of education; determine the
influence of parents’ income level; establish the influence of parents’ role in monitoring
learning activities; and determine the influence of single family type on students’ academic
performance in public secondary schools in Kangundo Sub-county. The study adopted a
descriptive survey research design. It targeted all (27) public secondary schools in
Kangundo Sub-county, all (27) school heads, all (27) parents’ association chairpersons, all
(339) teachers and all (2,663) form three students. The study employed a census technique
to include all schools; 24 in the main study and 3 in the pilot study. All the 24 school heads
as well as all the 24 parents’ association chairpersons of the participating schools were
included in the study. The study sampled 30.0% of teachers that gave 102 teachers.
Stratified random sampling technique was employed to select participating teachers where
a proportionate weighted sample was identified per school using proportional allocation
method. Then, simple random sampling technique was adopted to select the participating
teachers in each school. Yamene (1967) formula was used to give a sample of 348 students.
Stratified random sampling technique was employed to identify and select weighted
random samples per school. In total, 498 respondents participated in the study. Data
collection instruments included questionnaires for school heads, teachers, students and an
interview guide for parents’ association chairpersons. Validity of the research instruments
was ascertained through expert judgment and piloting. Reliability was achieved through
test re-test method where the instruments were piloted in schools at a time interval of two
weeks and the two results were correlated using Pearson’s Product Moment Correlation
method. Data were entered into Statistical Package for Social Sciences (version 26.0) for
analysis. Frequencies, percentages, means and standard deviations were used to analyze
data descriptively. Further, inferential analysis was employed that involved correlational
analysis at a 0.05 level of significance. Hypothesis one was accepted or rejected at a 0.01
level of significance. Hypotheses two, three and four were accepted or rejected at a 0.05
level of significance. All quantitative data was presented in frequency distribution tables
and correlation tables. Conversely, qualitative data were analyzed thematically through
content analysis and presented in narratives. Results establishes: a moderate positive
correlation between parents' level of education and students’ academic performance which
was statistically significant (R=.602; p=0.003<0.01); a moderate positive correlation
between parents' level of income and students’ academic performance that was statistically
significant (R=.534; p=0.011<0.05); a weak positive correlation between parents' role in
monitoring learning activities and students’ academic performance which was statistically
significant (R=.451; p=0.035<0.05); and a weak correlation between single parent family
type and students’ academic performance which was not statistically significant
(R=.149; p=0.508). Recommendations are put forth such as: the Ministry of Education to
establish more adult education centres, the government to make secondary school
education completely free; parents to be more involved in their children education and
create a supportive home learning environment; and government to initiate educative and
enlightenment programs on how to improve and sustain intact parenthood. |
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