Student Short Biography
(Max 250 words)
NAME: KITUI SHARON ACHARO
GENDER: Female
DATE OF BIRTH: 4/11/1994
CONTACTS: 0712153087
PHYSICAL ADDRESS: P.O Box 438-30202 Moi’sbridge.
EMAIL ADDRESS: kituisharon@gmail.com
EDUCATION BACKGROUND
2018-2020
University of Nairobi
Master of Arts Project Planning and Management
2013-2017
Maseno University
Degree, Development Studies
2009-2012
Maryhill Girls High School
Kenya Secondary School Education
2001-2008
Kipkeino Primary School
Kenya Primary School Education
Work Experiences
2020- Field officer, Family Support Institute
2019- Volunteer, Kenya Redcross Society
2018- Intern, County Government of Uasin gishu
2018- Volunteer, G-United programme
Thesis / Project Title
INFLUENCE OF MONITORING AND EVALUATION PRACTICES ON PERFORMANCE OF FERTILIZER SUBSIDY PROGRAMME IN KENYA; A CASE OF UASIN GISHU COUNTY
Thesis / Project Abstract
(Max 250 words)
Programme performance is measured by the impact created from its output. The research aimed at looking into M&E practices of the fertilizer subsidy programme that contribute to performance of the fertilizer subsidy programme in Uasin Gishu County. Furthermore, the study sought to establish how work plans in M&E influences performance of fertilizer subsidy programme, to assess how information sharing influences performance of the fertilizer subsidy programme, to assess how data collection in M&E influences performance of the fertilizer subsidy programme, and to establish assess how use of local expertise in M&E influences performance of the fertilizer subsidy programme. . Descriptive survey research design was used in the study. The target population consisted of 302 individuals. A sample size of 169 was obtained using Krejcie & Morgan table. A purposive sampling technique for key informants and multi stage cluster sampling for the unit of the study was used. Key informant interviews and semi-structured questionnaires based on Likert scale was used to collect primary data so as to give felt and in-depth response. To analyze data from key informant interviews, thematic analysis was used and findings presented in prose form. To analyze data from the questionnaires, both descriptive and inferential statistics was used to analyze quantitative data. Descriptive analysis consisted of measures of central tendencies (frequency, mean, percentage) and measures of dispersion (standard deviation). Inferential statistics consisted of correlation analysis where Karl Pearson’s correlation of analysis was used. The study established that there is positive close relationship between work plans, information sharing, data collection, use of local expertise and performance of fertilizer subsidy programme. The study recommends that monitoring and evaluation practices should be integrated in other programmes to enhance performance.
Research Supervisors
DR. JOASH MIGOSI
