Overcoming Overdispersion on Direct Mathematics Learning Model Using the Quasi Poisson Regression
- DOI
- 10.2991/assehr.k.210508.102How to use a DOI?
- Keywords
- Overdispersion, quasi-Poisson regression, Direct Math learning, Calculus subject
- Abstract
The study aims to overcome the overdispersion in the final exam score of Calculus subject. The occurrence of a gap in the score is inseparable from the influence of internal factors and external factors. The internal factors are factors that originate within students themselves. In contrast, external factors are factors that exist outside of students that can affect students’ success or failure, such as learning environment, the physical environment where the exam takes place, infrastructure and facility that are owned and used by students, and their condition during the exam. The connection of these factors to the gap in final exam scores can be approached with Poisson regression analysis because Poisson Regression assumes a Poisson distribution of response variables with equidispersion. It is necessary to conduct a research to find out the factors that cause the diversity of the final score in order to overcome, that is by implementing direct learning. The results obtained show that with the application of direct mathematics learning, there is no overdispersion, while the low score of the final exam results in an increase, resulting in the variance of final exam results to be smaller than the average score.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Powell Gian Hartono AU - Georgina Maria Tinungki AU - Jakaria Jakaria AU - Agus Budi Hartono AU - Patrick Gunawan Hartono AU - Richy Wijaya PY - 2021 DA - 2021/05/11 TI - Overcoming Overdispersion on Direct Mathematics Learning Model Using the Quasi Poisson Regression BT - Proceedings of the 1st International Conference on Mathematics and Mathematics Education (ICMMEd 2020) PB - Atlantis Press SP - 442 EP - 449 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210508.102 DO - 10.2991/assehr.k.210508.102 ID - Hartono2021 ER -