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| 1 |
ID:
106374
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| Publication |
2011.
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| Summary/Abstract |
In view of the challenge which higher education constitutes for most black South African students, this study focuses on study elements and aspects which black students regard as helpful and supportive. Our research question was: What do black students view as assets in their studies at tertiary institutions, specifically at the University of Pretoria? In their model of student development, Chickering and Reisser (1993) identified seven vectors which represent the main aspects of student development, as well as seven institutional influences on student development. We used this model to investigate how the learning assets which our participants identified could provide distinct guidelines for the provision of institutional support to students from disadvantaged backgrounds. A qualitative approach was followed where the 'photo voice' method (Olivier et al., 2009), combined with focus group discussions and narratives, was used to collect the data. Three themes emerged from our data. Students viewed their own study inspiration, the encouragement from within the university and from families and community, as well as a sense of physical security, as their main learning assets.
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| 2 |
ID:
141924
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| Summary/Abstract |
The authors examine key factors contributing to the potential significance of electronic warfare in the general system of measures to defend ground assets on home territory from adversary aerospace attacks.
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| 3 |
ID:
159759
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| Summary/Abstract |
By means of the latest seven national household surveys of the Democratic Republic of the Congo, this article uncovers the very volatile sampling frame used underneath all survey designs. As a result, the reliability of much associated survey information as well as any corresponding temporal analysis are seriously jeopardized. Relying on recent vaccination, school enrolment and election data, the article proposes a post-stratification technique to retroactively control for these erratic variations in sampling frame in an attempt to identify real socio-economic trends. Although the proposed technique did not restore full comparability of survey data in all respects, it has been able to eliminate an essential part of the spuriousness as illustrated by assessing trends in asset ownership under both the biased and stabilized sampling frames.
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