ABSTRACT
Over the years, many interventions have been used to enhance women participation in political leadership. However, despite efforts to ensure that women ascend to elective leadership positions, women in both developed and developing countries are still underrepresented and their participation in political leadership remains low. In Turkana County, all the members of the 12th parliament representing the 6 constituencies in the National Assembly are male. In addition, Turkana Central Constituency has no woman representing the constituency either in the County Government Assembly or in the National Assembly. This is a clear indication of low participation of women in political leadership, not only in Turkana Central Constituency, but also in Turkana County. This study therefore seeks to investigate the determinants of women participation in political leadership in Turkana Central Constituency, Turkana County. Specifically, the study seeks to establish how cultural factors, socio-economic factors and political factors influence women participation in political leadership in Turkana Central Constituency. The study also seeks to establish other factors affecting women participation in political leadership in Turkana Central Constituency. The study will use a mixed method research design and the target population of the study will be 251,656 men and women. The sample size will be determined using Krejice and Morgan Formula. Stratified random sampling technique will be used to select 383 men and women from the target population. The study will use primary data, which will be collected by use of both semi-structured questionnaires and interview guides. The research instruments will generate quantitative and qualitative data. Qualitative data will be analyzed by use of thematic analysis and the results will be presented in a prose form. Quantitative data will be analyzed by use of both inferential and descriptive statistics. Descriptive statistics will include percentages, and frequencies, mean, and standard deviation. The results will be presented using tables and figures which will include bar charts and pie charts. Inferential statistics such as correlation analysis and regression analysis will be used to establish the relationship between the independent and the dependent variable.
