Atlanta University Center Robert W. Woodruff Library
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Self-efficacy and academic performance among African-American male and female college students enrolled at a predominantly black institution: an investigative study, 1992
Full text linkThe purpose of this study was to investigate the relationship between self-efficacy and academic performance among African-American male and female college students enrolled at a predominantly Black institution. Survey method was utilized to collect the data. Data were analyzed using the Pearson's Product-Moment Correlation Coefficient, Multiple Correlation and Student's t=Test. Results suggested that (1) there is no significant relationship between self-efficacy and GPA, (2) for males majoring in science, there was a significant relationship between the two variables, and (3) no difference was found between males' and females' self-efficacy scores. It was concluded that there are variables other than self-efficacy that influence academic performance. Further research is needed before any definitive statements can be made
Outlier detection in spatial data using the m-SNN algorithm, 2013
Full text linkOutlier detection is an important topic in data analysis because of its applications to numerous domains. Its application to spatial data, and in particular spatial distribution in path distributions, has recently attracted much interest. This recent trend can be seen as a reflection of the massive amounts of spatial data being gathered through mobile devices, sensors and social networks. In this thesis we propose a nearest neighbor distance based method the Modified-Shared Nearest Neighbor outlier detection (m-SNN) developed for outlier detection in spatial domains. We modify the SNN technique for use in outlier detection, and compare our approach with the widely used outlier detection technique, the LOF Algorithm and a base Gaussian approach. It is seen that the m-SNN compares well with the LOF in simple spatial data distributions and outperforms it in more complex distributions. Experimental results of using buoy data to track the path of a hurricane are also shown
Spelman Messenger Fall 2007/Winter 2008 vol. 119 No 1
No full textThe Atlanta University Center Robert W. Woodruff Library acknowledges the generous support of the Council on Library and Information Resources (CLIR) in supporting the processing and digitization of a number of historic collections as part of the projectOur Story: Digitizing Publications and Photographs of the Historically Black Atlanta University Center Institutions
The Foundation vol. 40 no. 4
No full textThe Atlanta University Center Robert W. Woodruff Library acknowledges the generous support of the Council on Library and Information Resources (CLIR) in supporting the processing and digitization of a number of historic collections as part of the project: Our Story: Digitizing Publications and Photographs of the Historically Black Atlanta University Center Institutions
