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Showing 10 out of a total of 107 results for collection: School of Science & Information Sciences.
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Assessment of records management practices among the administrative staff of technical university of mombasa
Oigara, Mogusu Bonface
(
MMU
,
2016
)
Analysis on farmers’ adoption of organic farming in kiambu county using binary logistic regression model
Wairimu, Mukono Faith
(
MMU
,
2016
)
Challenges that are influencing the adoption of electronic health record systems in health facilities .a case study of narok county, kenya
Murimi, Joseph
(
MMU
,
2016
)
Stock trend prediction using time series analysis in the nairobi securities exchange
Gikandi, Kelvin
(
MMU
,
2016-04
)
Adoption of ICT in kenyan academic libraries : A case of maasai mara university library.
Kiprotich, Bii Kelvin
(
MMU
,
2016-04
)
Unintended pregnancies are major problems among women in the whole world. Approximately not less than 30% of pregnancies worldwide are unintended, with youths being more susceptible. It has been observed that approximately one out of thirty students in Maasai Mara University is pregnant at one point during the session. This problem is believed to not only exist in Maasai Mara University, but also in all Kenyan Universities. This research was carried out in order to determine/ assess the rate of those pregnancies within Moesia Mara university students, their main causes and effects. I adopted probability sequence method in estimating the sample size, which was 251 female students, before selecting the sample using simple random sampling technique. I conducted a cross-sectional survey on the selected sample using closed ended questionnaires. I afterwards analysed the data obtained using SPSS and Gretl statistical softwares at 5% significance level after entering the data into Microsoft Excel. Binary logistic regression model was used in assessing the net effect of each of the independent and intervening variables on the dependent variable. From the research, it was found out that 29.5% of the students become pregnant while on session, among which 55.4% are intended. Most of the single students are most likely to become pregnant unintentionally. It was found out that fourth years are also prone to become pregnant since the rate increases as the year increases (OR 2.56). Knowledge of family planning methods/contraceptives and maturity of the student helps to reduce the chances of one unintentionally becoming pregnant. It was hence recommended that students should be enlightened more, by the university management in collaboration with the university health unit, on family planning methods and emergency contraceptives, their usage and effects in order to reduce more the rates of unintended pregnancies.
Kiplagat, Jebet Charity
(
MMU
,
2016-04
)
Online hotel management system
Ndung'u, Joramu Muriithi
(
MMU
,
2016-04
)
Statistical analysis of motorcycle accidents fatality in narok town using poisson regression.
Kibet, Nelson Biegon
(
MMU
,
2016
)
Laptop patents and usabilty by university students: a case of maasai mara university.
Kiplang'at, Josphat
(
MMU
,
2016-04
)
Rate of uninteded pregnancies in maasai mara university and their effects
Mironga, Ishmael
(
MMU
,
2016-04
)
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Author
ASUMWA GRACE MUTHONI (2)
BII KELVIN KIPROTICH (2)
BRENDAH ACHIENG’ OUSO (2)
CHACHA MAROA JULIUS (2)
KOSKEY AMOS (2)
MICHIRA AGNES KWAMBOKA (2)
MOURINE AUMA ORUENJO. (2)
MUHORO ALEX NGURE (2)
MURIITHI FRANCIS KAMAU (2)
MWANGI CHARITY MUMBI (2)
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Subject
Record management (2)
student portal, Maasai Mara university (2)
A self help group management system (1)
Black Tea,temperature (1)
Cellphone accessories e-commerce system (1)
Chama online management system (1)
Complaint management system (1)
Computer Game (1)
Customer service, Naivas supermarket (1)
Diabetes (1)
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Date Issued
2016 (107)