The study was on the involvement of women in seed systems in Hawul Local Government Area of Borno State, Nigeria. Multistage probability sampling procedure was employed in the selection of the respondents. In the first stage, four (4) districts were selected. In the next stage, one (1) village was randomly selected from each of the selected districts. Subsequently, twenty five (25) respondents were randomly selected from each of the selected villages, which brought the total number of the respondents to one hundred (100). A structured interview schedule was used in collecting data from the respondents. Data were analyzed using descriptive and inferential statistics. The descriptive tools used were frequencies and percentages, while the inferential tool used was multiple regressions analysis. The major findings of the study were that majority of the respondents were involved in seed systems; age, education and farming experience were significantly related with involvement of women in seed systems at 1% and 5% levels of significance and contributed 58%, 30% and 10% respectively, with R 2 value of 0.657. It was suggested, among others, that if government at various levels, agricultural extension programmes and other agriculture related agencies embark on organizing educational programmes, providing the respondents with capital, storage facilities and policies that will lead to the expansion of their farm sizes, these could enhance and improve their productivity and performance in seed systems.
The study analysed the determinants of savings among rural women in Borno State. Primary data for the study were obtained through the used of structured questionnaires from 600 respondents selected through multi-stage sampling procedure. Frequency distribution, percentages, mean, bar chart and pie chart were used to examine the socio-economic characteristics of the respondents in the study area. Logit regression model was used to determine the effects of factors (socioeconomic, institutional and cultural) on the probability of savings of the respondents. The study revealed that majority (88%) of the respondents were married. It was also evident from the study that about 90% of the respondents fell within the age range of 20-50 years. The mean household size was 6. The study also revealed that majority (64%) had Agriculture as their main livelihood activity, and many (54%) had no formal education. The result showed that income was obtained from farming and non-farming livelihood activities. The study went further to reveal that majority stored grains as assets. It was revealed by the study that many (41%) of the women in the study
Human Resource is the most important input in any healthcare system. The primary aim of this research was to investigate the factors causing high nursing turnover in mission hospitals in Kenya (a case for PCEA Chogoria Hospital). Through a detailed literature review, the researcher reviewed literature related to factors causing nursing turnover. Descriptive research design was used with the application of both qualitative and quantitative approaches of research to collate, analyze and present data. The researcher used sample size of 30% of the target population of 147 Registered and Enrolled nurses working in various departments of the Hospital. Stratified random sampling technique was used to ensure representation of these professional cadres of staff. The main data collection instruments were review and analysis of records and questionnaires. Data was analyzed and presented theoretically. The main outcome of this study is that retention of nurses is an important issue because shortages could lead to work overloads, burnout and dissatisfaction of nurses, turnover, and compromised standards of patient care. It is recommended that the mission hospitals should develop strong Nurses retention strategies by instituting effective nurse management support, regular promotion practices, adequate staff development practices and competitive compensation (salaries and allowances) practices.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.