Stata tool in the analysis of quantitative data in Peruvian graduate students

Authors

DOI:

https://doi.org/10.31637/epsir-2024-802

Keywords:

learning, analysis, quantitative, data, statistics, impact, software, university

Abstract

Introduction: This article analyzes the impact of Stata software on quantitative data analysis, an experience among postgraduate university students. Methodology: The type of investigation was experimental, applied a quantitative approach with an experimental design, the sample was non-probabilistic, with 28 students for the experimental group and the same number for the control group, validated and reliable instruments were applied with the dosing method spearman brown myths. Results: The analysis demonstrates the comparison of means by groups in both moments of Pre-test and Post-test so that the means were higher and more significant for the experimental group (15,86) in comparison with the control group (12,50), the contrast of The test with U. Mann Whitney was estimated at a 95% confidence level and a 5% significance level that allowed us to infer the positive impact of the Stata application. Discussions: The findings found in the study were very significant, improving the theoretical and practical level in the field of scientific research among students when analyzing statistics with the software. Conclusions: It is concluded that the impact of the Stata statistical software only positively influences the analysis of quantitative data.

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Author Biographies

Lolo Caballero Cifuentes, National University of Education Enrique Guzmán y Valle

D. in Educational Sciences, with a Master's Degree in Learning Problems, Bachelor's Degree in Mathematics and Computer Science from the Enrique Guzmán y Valle University, with a Diploma in Statistics Applied to Scientific Research. With more than 18 years of experience as a university teacher at undergraduate and graduate levels in public and private institutions. My line of research is oriented to Information and Communication Technologies, mathematics, statistics and education; I carry out research projects with competitive funds and participate as a teacher in various diploma courses in statistics applied to scientific research. I teach subjects at the Graduate School at the Doctoral and Master's levels: Statistics Applied to Scientific Research.

Richard Santiago Quivio Cuno, National University of Education Enrique Guzmán y Valle

Doctor in Educational Sciences. Master in University Teaching. Bachelor's Degree in Mathematics and Computer Science. He is a Full Professor at the Academic Professional School of Mathematics and Computer Science, attached to the Academic Department of Mathematics and Computer Science of the Universidad Nacional de Educación Enrique Guzmán y Valle, as well as a teacher at the Graduate School in the subjects of Statistics applied to Research and Scientific Research (Thesis I, II, III) in the Master's and Doctorate sections. He has experience in the academic field of Education in Mathematics, Computer Science, Statistics and Research, acting mainly in the following research areas: Learning strategies in Mathematics, Computer architecture and educational software development, statistical processes applied to research.

Sandra Yaquelin Gutiérrez Guadalupe, National University of Education Enrique Guzmán y Valle

Bachelor in Educational Sciences (UNE EGyV-2006), Bachelor in Mathematics and Computer Science Education (UNE EGyV-2006); Master in Educational Sciences, with mention in Technological Education (UNE EGyV-2008) and Doctorate in Educational Sciences (UNE EGyV-2011). Currently, he is a Full Professor at the Academic Professional School of Mathematics and Computer Science, attached to the Academic Department of Mathematics and Computer Science of the National University of Education Enrique Guzmán y Valle, as well as a teacher at the Graduate School in the chair of Statistics applied to Research in the Master's section.

Mario Jaime Andia, National University of Education Enrique Guzmán y Valle

Full-time Assistant Professor of the Faculty of Sciences in the specialty of Mathematics and Computer Science at the Universidad Nacional de Educación Enrique Guzmán y Valle. Doctor in Educational Sciences and Master in the mention of University Teaching by the Universidad Cesar Vallejo. Lecturer in several Computer Science courses in public and private Universities.

Jesús Alegre Huerta, National University of Education Enrique Guzmán y Valle

Full-time Assistant Professor of the Faculty of Sciences in the specialty of Mathematics and Computer Science at the Universidad Nacional de Educación Enrique Guzmán y Valle. Master's degree in Mathematics Education from the Universidad Nacional de Educación Enrique Guzmán y Valle. Lecturer in several Informatics courses in public and private Universities.

Juan Carlos Huamán Hurtado, National University of Education Enrique Guzmán y Valle

Bachelor in Educational Sciences, Bachelor's Degree in Physical Mathematics Education; Master's Degree in Educational Sciences, with mention in University Teaching and Doctorate in Educational Sciences. Currently, he is a Full Professor at the Academic Professional School of Mathematics and Computer Science, attached to the Academic Department of Mathematics and Computer Science of the Universidad Nacional de Educación Enrique Guzmán y Valle, as well as a teacher at the Graduate School of Statistics applied to Research and Computer Science in the Master's section.

Luz Sito Justiniano, National University of Education Enrique Guzmán y Valle

Principal Teacher at UNE, attached to the Faculty of Early Education, I have been training Early Education teachers for 38 years, time of service in university teaching, I worked as a contracted teacher and in 1985 appointed to date, 24 years ago principal teacher at UNE. I have a degree in Psychology, Early Childhood Education and Primary Education; PhD in Education, Psychology and in Government and Public Policy, advocate for early childhood, children and their families, women and the elderly; for my training in education, psychology, social management and public policy.

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Published

2024-09-19

How to Cite

Caballero Cifuentes, L., Quivio Cuno, R. S., Gutiérrez Guadalupe, S. Y., Jaime Andia, M., Alegre Huerta, J., Huamán Hurtado, J. C., & Sito Justiniano, L. (2024). Stata tool in the analysis of quantitative data in Peruvian graduate students. European Public & Social Innovation Review, 9, 1–19. https://doi.org/10.31637/epsir-2024-802

Issue

Vol. 9 (2024)

Section

Education

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Copyright (c) 2024 Lolo Caballero Cifuentes, Richard Santiago Quivio Cuno, Sandra Yaquelin Gutiérrez Guadalupe, Mario Jaime Andia, Jesús Alegre Huerta, Juan Carlos Huamán Hurtado, Luz Sito Justiniano

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