Resident Student Perceptions of On-Campus Living and Study Environments at the University of Namibia and their Relation to Academic Performance

This study measures resident student perceptions of on–campus living and study environments at the University of Namibia campus residence and their relation to student academic performance. Data were obtained from a stratified random sample of resident students with hostels (individual dormitory) as strata. Student academic performance was measured by grade point average obtained from the university registrar. Student perceptions of living and study environments were obtained from a survey. Inferences were made from the sample to the population concerning: student perceptions of the adequacy of the library and campus safety, and differences in perceptions between students living in old-style and new-style hostels. To relate student perceptions to academic performance, a model regressing GPA on student perception variables was constructed. The principal findings of the analyses were that (1) Student perceptions do not differ between old and new hostels; (2) There is an association between time spent in the hostel and the type of room, ability to study in room during the day and the type of room, ability to study in room at night and the type of room, time spent in hostel and number of times student change blocks, ability to study in room at night and availability of study desk in room, ability to study in room at night and availability of study lamp in room, effectiveness of UNAM security personnel and safety studying at classes at night and also between effectiveness of UNAM security personnel and student perception on whether security on campus should remain unchanged respectively; (3) Mean GPA differs with respect to the type of room, ability to study in room during the day, time spent in hostel, number of times student change blocks, current year of study, time spent on study, students who are self-catering, sufficiency of water supply in blocks and also with students who are enrolled in Law and B.Commerce field of study and with students receiving financial support in the form of loans. (4) The variables found to be significant in the regression model were Law field of study, double rooms, inability to study in room during the day and self-catering respectively

Surveying and monitoring crimes in Namibia through the likrlihood based cluster analysis

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Beute und Conquista. Die politische Ökonomie der Eroberung Neuspaniens

Der welthistorische Vorgang der Eroberung Amerikas fasziniert heute noch. Wie er organisiert war und welchen Dynamiken er folgte, wurde aber bislang nicht hinreichend erforscht. Vitus Huber nimmt die Verflechtung politischer und ökonomischer Anreiz- und Belohnungsschemata in den Blick und analysiert, wie Beute und ihre Verteilung die diversen Akteure, Institutionen und Praktiken der "Conquista" beeinflussten und welche Rolle hier das Prinzip der Verteilungsgerechtigkeit spielte. So zeigt diese Studie, wie Beute und Verwaltung, Gewaltökonomien und Staatsbildungsprozesse bei der "Conquista" in verblüffender Weise zusammenhingen. Mehr noch: Diese Zusammenhänge formten nicht nur die Eroberung Amerikas, sondern begründeten zudem ein über 300 Jahre währendes Kolonialreich

Monitoring murder crime in Namibia using Bayesian space-time models

This paper focuses on the analysis of murder in Namibia using Bayesian spatial smoothing approach with temporal trends. The analysis was based on the reported cases from 13 regions of Namibia for the period 2002–2006 complemented with regional population sizes. The evaluated random effects include space-time structured heterogeneity measuring the effect of regional clustering, unstructured heterogeneity, time, space and time interaction and population density. The model consists of carefully chosen prior and hyper-prior distributions for parameters and hyper-parameters, with inference conducted using Gibbs sampling algorithm and sensitivity test for model validation. The posterior mean estimate of the parameters from the model using DIC as model selection criteria show that most of the variation in the relative risk of murder is due to regional clustering, while the effect of population density and time was insignificant. The sensitivity analysis indicates that both intrinsic and Laplace CAR prior can be adopted as prior distribution for the space-time heterogeneity. In addition, the relative risk map show risk structure of increasing north-south gradient, pointing to low risk in northern regions of Namibia, while Karas and Khomas region experience long-term increase in murder risk