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All Journal International Journal on Emerging Mathematics Education Eksakta : Berkala Ilmiah Bidang MIPA
Kashefi, Hamidreza
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Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering

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Multilevel Modeling on Underdispersion Data Sormin, Corry; Rarasati, Niken; Gusmanely Z; Kashefi, Hamidreza
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 03 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol23-iss03/297

Abstract

Binomial negative regression is able to handle poisson regression problem with underdispersion assumption. When the data has hierarchy and level that need to be calculated, regression is no longer appropriate to solve this problem, therefore binomial negative regression is used. To solve multilevel binomial negative regression modeling, several steps need to be fulfill: poisson assumption test and underdispersion assumption test, parameter estimation with expectation-maximization algorithm, variance components estimation, feasibility test with likelihood ratio test, significance parameter test with wald test and determining the best model. This research modeled the numbers of neonatal death in district as cluster 1 and small public health center as cluster 2, in the correlation with the number of visit on trimester 1 and 3, number of pregnant mother who have Tetanus Diphtheria vaccination, assumed number of neonatal babies with complication disease, numbers of babies who got Hepatitis B vaccination less than 24 hour, numbers of babies who got BCG vaccination and also number of visit neonatal 1 and 3.  The result shows that number of neonatal death is only affected by number of babies who had Hepatitis B vaccination less than 24 hour
Generalization Strategies in the Problem Solving of Derivative and Integral Hashemi, Nourooz; Kashefi, Hamidreza; Abu, Mohd Salleh
International Journal on Emerging Mathematics Education IJEME, Vol. 3 No. 1, March 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijeme.v3i1.11425

Abstract

This study proposes a learning strategy of derivatives and integrals (LSDI) based on specialized forms of generalization strategies to improve undergraduate students’ problem solving ofderivative and integral. The main goal of this study is to evaluate the effects of LSDI on students’ problem solvingofderivative and integral. The samples of this study were 63 undergraduate students who took Calculus at Islamic Azad University of Gachsaran, Iran. The students were divided into two classes based on their marks in the pre- test of derivative and integral. The results indicated that there was a significant difference between the achievements of students in experimental and control groupsafter treatment. Thus, the findings reveal that using generalization strategies improves students’ achievements in solving problems of derivative and integral.
Co-Authors Abu, Mohd Salleh Gusmanely Z Hashemi, Nourooz rarasati, niken Sormin, Corry