| dc.description.abstract | In today's knowledge-driven economy, education is paramount for societal development.
Ensuring universal access to education is essential to equip individuals with the tools to
positively impact the world, aligning with SDG Goal 4: Education for All. However,
statistics reveal disparities in educational opportunities, with fewer females than males
receiving education. This unequal access denies girls crucial skills for employment and
participation in the digital age, limiting their economic potential and excluding them
from the benefits of education. This disparity is particularly pronounced in developing
countries, especially in ASAL regions where girls' education lags. This study will
examine the parameters affecting girls' academic performance in secondary schools in
Wajir County, Kenya. It will explore how social, cultural, political, and economic factors
influence girls' academic achievements, assess the effectiveness of policies and
initiatives supporting academic performance, and evaluate the impact of stakeholders'
interventions on girls' academic outcomes in Wajir County. The research will adopt a
descriptive research design to gather quantitative and qualitative data. The target
population will be 12,060 respondents comprised of 80 Principals, 274 teachers, 11,704
students, and two county Education Development officers from Wajir County, Kenya
public secondary schools. A study sample size of 388 will be calculated using the
Yamane method and will be sampled using purposive, simple, and stratified random
sampling. Data will be collected using self-reporting questionnaires for principals.
Teachers and students and interview schedules for county education officers. The validity
of the instruments will be ascertained through face, content, and education experts. The
reliability of instruments used in data collection will be pretested using Cronbach's
Alpha, with a coefficient of 0.7 and above deemed acceptable based on data from a pilot
study in Garissa County. Qualitative data will be analyzed using thematic analysis while
Quantitative data will be cleaned, coded, and analyzed descriptively and inferentially
with Statistical Package for the Social Sciences (SPSS) version 27.0 software.
Descriptive statistics, including frequency and percentages, as well as mean and standard
deviation, will be used to describe the relationship between the study variables, while
inferential analysis will be based on the chi-square test. The researcher anticipates that
the study will provide recommendations to improve girls' education in Wajir County and
elsewhere, thus improving gender equality. The findings may inform educational policies
and practices at the school, regional, and national levels. The researcher anticipates that
the study will provide recommendations to improve girls' academic performance in Wajir
County and elsewhere, thus improving gender equality. The findings may inform
educational policies and practices at the school, regional, and national levels,
highlighting the importance of improving academic performance and its impact on girls'
future opportunities and societal contributions. | en_US |
