University Research Report: Women's Participation in Agriculture

This research report examines the participation of women in agricultural activities within the Hirshabelle province of Somalia, focusing on their role in poverty reduction. The study aims to determine the extent of women's involvement, identify factors hindering their participation, and explore strategies to enhance their role in agriculture. The research employs a non-probability sampling technique, surveying 100 women to gather primary data on their experiences and perspectives. The data collected will be analyzed using logistic regression to understand the relationships between variables. The report addresses the research questions by investigating the role of women in agriculture, the challenges they face, and the potential for their participation to reduce poverty. The research is motivated by the need to address the impact of drought and poverty in Somalia, highlighting the importance of empowering women in agriculture.

Running head: RESEARCH METHOD
RESEARCH METHOD
Name of the Student
Name of the University
Author Note

1RESEARCH METHOD
Research Method
In order to determine the overall participation of women in the agricultural activities, it
can be considered relevant to undertake a survey analysis among the women participants so as to
understand their point of view. Hence, it is for this reason that the sampling technique which will
be adopted for the research can be understood to be the Non probability sampling technique
whereby the women as present in Hirshabelle province of Somalia will be chosen for the survey.
These women will be asked questions based on their participation in the activities related to
agriculture and how is their role in the field of agriculture greatly affected by the external as well
as the internal factors (Etikan et al. 2016). The sample size or the number of women from whom
the data can be collected can be understood to be 100.
Once the primary data collection method of making use of the survey will be
implemented and the data will be collected in the quantitative format, the Logistic regression
method shall be adopted for the purpose of the research (Springer, Tarassenko and Clifford
2015). The logistic method of regression can be understood to be a comprehensive method of
regression whereby the dependent variable shall be binary in nature. The logistic regression
analysis is a predictive analysis (Cruyff et al. 2016). The primary purpose of this type of a
regression analysis can be understood to be to describe the data which has been collected and to
explain the overall relationship existing between the variables.
The formula which shall be used as follows:
=log (p(y=1)/ 1-(p=1)) = β0+ β1xn+ β2-xn+…..+ βp-xm

2RESEARCH METHOD
The reason why the given method of data analysis and sampling technique will be used is
because, it will help in understanding the overall role of women in agriculture in Hirshabelle
province of Somalia.

3RESEARCH METHOD
References
Cruyff, M.J., Böckenholt, U., Van Der Heijden, P.G. and Frank, L.E., 2016. A review of
regression procedures for randomized response data, including univariate and multivariate
logistic regression, the proportional odds model and item response model, and self-protective
responses. In Handbook of Statistics (Vol. 34, pp. 287-315). Elsevier.
Etikan, I., Alkassim, R. and Abubakar, S., 2016. Comparision of snowball sampling and
sequential sampling technique. Biometrics and Biostatistics International Journal, 3(1), p.55.
Springer, D.B., Tarassenko, L. and Clifford, G.D., 2015. Logistic regression-HSMM-based heart
sound segmentation. IEEE Transactions on Biomedical Engineering, 63(4), pp.822-832.