Browsing by Author "Usman, A."

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    Effects of Jigsaw II Cooperative Learning Strategy on Senior School Students’ Performance in Physics in Lafiagi, Kwara State, Nigeria
    (Department of Science Education, Faculty of Education, University of Ilorin, Ilorin, Nigeria, 2022) Usman, A.; Akanbi A. O.; Usman, R. S.; Yusuf, A. A.
    The study investigated the effects of Jigsaw II cooperative learning strategy on senior school students' performance in physics. The study also determined how moderating variables of score levels influence students’ performance in physics when jigsaw II cooperative learning strategy was used as instructional strategy. The study employed a quasi-experimental design of non randomized, non-equivalent pre-test post-test control group design. Random sampling technique was used to select two senior secondary school III (SSSIII) physics students comprising 146 (68 male and 78 female) from two intact classes in Lafiagi, Kwara State, Nigeria. Jigsaw II Cooperative Learning Instructional Package on Electric Field (JIICLIPEF) and Electric Field Performance Test (EFPT) were used as treatment and test instruments. Data were collected and analyzed with t-test and Analysis of Covariance (ANCOVA) statistical tools Findings indicated that students taught electric field (current electricity) using jigsaw II cooperative learning strategy performed better than those taught with conventional methods, and there was no significant difference in the performance of students taught electric field with Jigsaw II on the basis of score level. It was therefore recommended based on the findings that teachers should make use of Jigsaw II cooperative learning strategy in order to enhance students’ performance in the electric field.
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    Power Analysis of the Likelihood Ratio Test for Exponential Populations
    (Transactions of the Nigerian Association of Mathematical Physics (Trans. of NAMP), 2017-05-31) Yahya, W. B.; Kolade, E. I.; Garba, M. K.; Usman, A.
    The statistical power of the likelihood ratio (LR) test for testing the parameter (λ) of the exponential distribution under different parameter considerations and sample sizes was investigated. Results from Monte Carlo studies showed that the power of the test is highly sensitive to the size of λ_0∈λ under H0 and λ_1∈λ under H1 from the parameter space λ being tested. As the values of both λ_0 and λ_1 progressively increase, more samples would be required before a small shift between them could be detected with appreciable power, even with equal effect sizes |λ_0-λ_1 | over various sizes of λ_0 and λ_1. However, the sample size required to attain a reasonable power by the test reduces as the value of the parameter ratio λ_0/λ_1 decreases with λ_0<λ_1. Further results indicated that fewer samples would be required by the test to achieve appreciable power as the chosen size α level increases. Empirical illustrations are provided to validate the results from Monte Carlo experiments.