Binary outcomes utilizing varied strategies in familiarizing science concepts
Glen L. Villonez
Additional contact information
Glen L. Villonez: Teacher II, F. Bangoy National High School- DepEd, Davao City
Computational Methods in Social Sciences (CMSS), 2017, vol. 5, issue 2, 05-09
This research endeavor aimed to find out the probability of obtaining a proficient performance in familiarizing science concepts using varied strategies. Also, it was directed on determining significant difference on the performance of students in science when exposed to varied strategies. One hundred eighty students from F. Bangoy National High School were chosen as respondents of the study. Descriptive- predictiveand quasi- experimental design were employed in the study. The statistical tools used were mean and standard deviation, frequency and percentage, logistic regression, univariate analysis and Eta- squared.The results revealed that Puzcellized method was the best intervention among the three strategies. Majority of the students were at the below proficiency level. Varied strategies do not significantly predict performance of students in science. There was significant difference in the performance of students in familiarizing science concepts when exposed to varied strategies. And the effect of varied strategies to the performance of students in familiarizing science concepts was large.
Keywords: Phillips curve; inflation; unemployment; Romanian economy. (search for similar items in EconPapers)
References: View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
http://cmss.univnt.ro/wp-content/uploads/vol/split ... _issue_2_art.001.pdf First version, 2017 (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ntu:ntcmss:vol5-iss2-17-05
Access Statistics for this article
Computational Methods in Social Sciences (CMSS) is currently edited by Bogdan Oancea
More articles in Computational Methods in Social Sciences (CMSS) from "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences Contact information at EDIRC.
Bibliographic data for series maintained by Stefan Ciucu ().