Predictive power Research Papers - Academia.edu (original) (raw)

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- Academic Journals, Standard, Student Selection Examination, Predictive power

This study examined the predictive power of two selection examination scores on Senior School Certificate Examination (SSCE) result of pre-degree science students of Benue State University Makurdi-Nigeria with a view to seeking alternative to multiple selection examinations. Out of 1240 candidates that came in for Preliminary Science programme for 2007/2008 session, only 380 passed (that is, a minimum of C grade in the five subjects- English, Mathematics, Biology, Chemistry and Physics). Of this number, 220 had records for Mathematics and Physics in SSCE and therefore form the sample for the study and total of 38 entered for UME Mathematics. Three standard examination results in Mathematics and Physics were used for analysis in this study with SSCE as dependent (criterion) variable and Prelim and UME scores as independent (predictor) variables. Scores from the three examinations were collated and used for analyses. The examinations were considered reliable and valid based on the fact that they were set by experts, subjected to necessary test conditions and had consistent records of good standard. Using multiple regression for analysis, it was found that Prelim and UME Mathematics did not significantly predict SSCE Mathematics, F2, 38 = 1.278, p > 0.05. While Prelim Physics and UME Physics significantly predicted SSCE Physics (F2, 209 = 3.789, p < 0.05), the same could not significantly predict SSCE Mathematics (F2, 210 = 2.745, p > 0.05). It was recommended among others that the current selection examinations be improved upon through strict supervision especially UME to guarantee their public acceptance and credibility.

- by Solomon Ogebe Aligba and +1
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- Student Selection Examination, Predictive power, School Certificate Examination

Using signal extraction, this study identifies leading indicators of financial crisis over the period 1980-2015 in developing and advanced economies. The study evaluates vulnerability in the external, public and financial sector in developing countries. The results postulate that the level of imports is the principal leading indicator for detecting a forthcoming crisis in developing nation's external sector. In the public sector, the best indicators for predicting a crisis in South Africa are in the order: maturity of debt; external debt; debt-GDP ratio; interest rate payments; short-term debt and government expenditure. In Namibia, the best indicator for predicting crisis is total expenditure and interest rate payments. Comparatively, Russia's crises are better predicted by the following variables: debt ratio; interest rate payments; short-term debt; expenditure and external debt. The two best indicators were debt ratio and interest rate payments. In the financial sector, the common risk indicator among developing economies is the lending rate. The external balance sheet assessment shows that in developed countries, predictors of a financial emanate from portfolio investments and direct investments. For the UK, the best indicators of a looming financial crisis are: direct investment liabilities; portfolio debt liabilities and direct investment debt instruments. Contribution/Originality: This study is one of the first contributions in early warning systems that assesses vulnerability in multiple sectors of an economy which are external, public and financial sectors. To the best of the author's knowledge, this study is also the first to determine external balance sheet assessment in developed nations.

- by Mpho Bosupeng
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- Finance, International Trade, Monitoring And Evaluation, Logit & Probit models
- by Nathan Coppedge
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- Psychology, Philosophy, Prophets, Psychical Research

This study examined the predictive power of two selection examination scores on Senior School Certificate Examination (SSCE) result of pre-degree science students of Benue State University Makurdi-Nigeria with a view to seeking alternative to multiple selection examinations. Out of 1240 candidates that came in for Preliminary Science programme for 2007/2008 session, only 380 passed (that is, a minimum of C grade in the five subjects-English, Mathematics, Biology, Chemistry and Physics). Of this number, 220 had records for Mathematics and Physics in SSCE and therefore form the sample for the study and total of 38 entered for UME Mathematics. Three standard examination results in Mathematics and Physics were used for analysis in this study with SSCE as dependent (criterion) variable and Prelim and UME scores as independent (predictor) variables. Scores from the three examinations were collated and used for analyses. The examinations were considered reliable and valid based on the fact that they were set by experts, subjected to necessary test conditions and had consistent records of good standard. Using multiple regression for analysis, it was found that Prelim and UME Mathematics did not significantly predict SSCE Mathematics, F 2, 38 = 1.278, p > 0.05. While Prelim Physics and UME Physics significantly predicted SSCE Physics (F 2, 209 = 3.789, p < 0.05), the same could not significantly predict SSCE Mathematics (F 2, 210 = 2.745, p > 0.05). It was recommended among others that the current selection examinations be improved upon through strict supervision especially UME to guarantee their public acceptance and credibility.