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Please use this identifier to cite or link to this item: http://hdl.handle.net/10484/107

Title: Predicting schools' performance in the state examinations : a model for Shaba province in Zaire
Authors: Maloba, Ngoba
Issue Date: 26-Aug-2009
Abstract: The purpose of the study were (1) to ascertain for Literature major, Mathematics-Physics major, and General Pedagogy major, the significance of the relationship between the school's performance in each required course and their overall performance in the State Examinations; (2) to investigate for each major the significance of the relationship between the school's performance in all the required courses and their overall performance in the State Examinitations; (3) to develop for each major, a prediction equation to be used to predict school's performance in the State Examinitations; and (4) to analyze the degree of concordance, across teh three majors, in the ways courses common to them correlated with the State Examinations. A total of 58 rural and urban schools from Shaba Province were used in this study. Twelve offered Literature major and presented 275 candidates, sixteen offered Mathematics-Physics major and had 300 candidates, and twenty-eight offeredd General-Pedagogy major with 935 candidates. All these schools participated in the State Examinations in June 1976. A correlation matrix was developed for each major, using the Statistical Package for the Social Science (S.P.S.S). In this matrix each variable was compared singly with the other variables. Stepwise multiple regression analyses were completed for each major, in order to identify courses contributing significantly to the school's performance in the State Examinations. The results of these analyses were used to develop, for each major, an equation to be used to predit school's performance in the State Examinations. A multiple correlation coefficient was computed for each major, to test for the signigicance of the relationship between the school's performance in all the required coursed and their overall performance in the State Examinations. A kendall's coefficient of concordance was computed and its significance tested. The following findings were established from the analyses: 1. In each major, certain required courses contributed significantly to school's performance in the State Examinations. 2. The overall correlation in each major, between the school's performance in all the required courses and their performance in the State Examinations was significant. 3. A prediction equation was developed for each major. 4. The courses common to the three majors did not contribut to the school's performance, in the same way, across the three majors.
URI: http://hdl.handle.net/10484/107
In Collections:Applied Engineering and Technology Management

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