Home⇛Journal of Interdisciplinary Perspectives⇛vol. 2 no. 11 (2024)

Quantitative Evaluation of the Inferential Statistics Integration Skills in Practical Research of Grade 12 Students: As a Basis for a Remediation Program

Jan Angelo G. Morata | John Paolo H. Poblete

Discipline: Education

 

Abstract:

This study evaluated students' perceived versus actual integration skills in statistics on seven central topics of the course concerning so-called 'inferential statistics,' namely: t-tests (independent and dependent), Analysis of Variance (ANOVA), Chi-square tests, Pearson Product Moment correlation coefficient, Spearman rank correlation coefficient and regression analysis. Descriptive statistics indicated that students perceived their skills as developing (mean = 1.62), but their actual performance was lower, categorized as beginning (mean = 1.38). Students performed weakest on Chi-square tests (mean = 1.10) and ANOVA (mean = 1.30). However, correlation analysis showed that most topics had no significant relationship between perceived performance and actual performance (p = 0.045), except for the Pearson Product Moment correlation coefficient, which had a moderate positive correlation (ρ = 0.260). Despite this, the actual performances for all topics were still low. Thus, the findings show a gap between perceived and actual skills. These results indicate that a comprehensive remediation program will include all seven inferential statistics topics utilized in this study. The course of study in this regard should be designed to enhance conceptual understanding, practical competency, and the student's capacity for appropriate selfassessment. A structured approach that matches focused workshops with practical work and individual support will help ensure that students develop both the theoretical and practical competence they need to do the statistical analysis, and that is through targeted instructional workshops and interactive statistical software training as the remediation program.



References:

  1. Bete, A. O. (2020). Students' knowledge and process skills in learning grade-8 chemistry. Journal of Research, Policy & Practice of Teachers and Teacher Education, 10(1), 1–16. https://doi.org/10.37134/JRPPTTE.VOL10.1.1.2020
  2. Blömeke, S., Kaiser, G., König, J., & Jentsch, A. (2020). Profiles of mathematics teachers’ competence and their relation to instructional quality. ZDM, 52(2), 329–342. https://doi.org/10.1007/s11858-020-01128-y
  3. Celiz, J. P., Sagge Jr., R. G., & Bacio Jr., S. P. (2023). Statistics for teachers' action research (STAR) module: A developmental study. International Journal of Innovative Science and Research, 5(11), 5427 – 5434. https://tinyurl.com/4nyvmj7y
  4. Doabler, C. T., Clarke, B., Kosty, D., Sutherland, M., Turtura, J. E., Firestone, A. R., Kimmel, G. L., Brott, P., Brafford, T. L., Fien, N. J. N., Smolkowski, K., & Jungjohann, K. (2022). Promoting understanding of measurement and statistical investigation among second-grade students with mathematics difficulties. Journal of Educational Psychology, 114(3), 560–575. https://doi.org/10.1037/edu0000711  
  5. Hasim, S. M., Rosli, R., & Halim, L. (2024). A quantitative case study of secondary school students’ level of statistical thinking. Eurasia Journal of Mathematics, Science and Technology Education, 20(2), 1-12. https://doi.org/10.29333/ejmste/14358
  6. Lacson, E., & Dejos, E. (2022). Research skills scale for senior high school students: Development and validation. Psychology and Education: Psychology and Education: A Multidisciplinary Journal, 2(4), 329-334. https://doi.org/10.5281/zenodo.6727946
  7. Li, X., Li, Q., & Wang, Q. (2023). Analysis of College Students’ Misconceptions of Quantitative Research in Social Sciences in China: Implications for Teaching. Journal of Education and Educational Research, 2(3), 28-31. https://doi.org/10.54097/jeer.v2i3.7140
  8. Llanillo, L. C., Pauya, C. D., Villaflor, J. R. S., & Ruaya, F. B. (2023). Modular learning platform implementation and cognitive skills development of senior high school students. Sumerianz Journal of Education, Linguistics and Literature, 6(4), 86-92. https://doi.org/10.47752/sjell.64.86.92
  9. Magno, C. & Piosang, T. (2016). Assessment Schemes in the Senior High School in the Philippine Basic Education. Educational Measurement and Evaluation Review, 7(1), 66-87. https://ejournals.ph/article.php?id=11223
  10. Masic, I., Jankovic, S. M., & Begic, E. (2019). PhD students, and the most frequent mistakes are made during data interpretation by statistical analysis software. Studies in Health Technology and Informatics, 261, 12-17. https://doi.org/10.3233/SHTI190028
  11. Putri, C. K., Juandi, D., Kurniawan, S., & Sukri, S. (2023). High school students’ errors in solving statistical literacy test similar to minimum competency assessment. Edumatica: Jurnal Pendidikan Matematika, 13(2), 179-190. https://doi.org/10.22437/edumatica.v13i02.26153
  12. Reston, E., Krishnan, S., & Idris, N. (2014). Statistics education research in Malaysia and the Philippines: A comparative analysis. Statistics Education Research Journal, 13(2), 218–231. https://doi.org/10.52041/serj.v13i2.292
  13. Retutas, M. J., & Rubio, M. T. (2021). Multivariate analysis on performance in statistics, self-efficacy and attitudes of senior high school students. JRAMathEdu (Journal of Research and Advances in Mathematics Education), 6(4), 352–367. https://doi.org/10.23917/jramathedu.v6i4.14368
  14. Sonza, A. P. (2024). Introduction to the study of statistics in high school through research. Proceedings of the Multi-Science International Conference on Seven Pillars (pp. 662–671). https://doi.org/10.56238/sevenvmulti2024-096
  15. Sulistyani, N. (2019). Error analysis in solving inferential statistics problems for psychology students. Journal of Physics: Conference Series, 1180, 012006. https://doi.org/10.1088/1742-6596/1180/1/012006   
  16. Tsaniyah, R. (2020). Statistical thinking profile of field independent and field dependent senior high school students in problem-solving. MATHEdunesa, 9(1), 185–193. https://doi.org/10.26740/MATHEDUNESA.V9N1.P185-193  
  17. Verzosa-Quinto, E. M., & Mabansag, A. B. (2023). Error analysis in solving word problems among Grade-8 students. International Journal of Current Science Research and Review, 6(10), 6585-6599. https://doi.org/10.47191/ijcsrr/v6-i10-10  

Tools


Copyright © 2024  KITE Digital Educational Solutions |  Exclusively distributed by CE-Logic