Amman Arab University's Faculty of Education Holds Workshop on Parametric and Non-Parametric Tests
As part of its continuous efforts to enhance scientific research methodology and develop students' statistical analysis skills, the Faculty of Educational and Psychological Sciences at Amman Arab University organized a scientific workshop titled "Parametric and Non-Parametric Tests." The workshop was presented by Dr. Mohammad Al-Karamneh and Dr. Feryal Al-Haj Mahmoud, with attendance from faculty members, graduate students, and researchers interested in quantitative analysis.
The workshop aimed to clarify the fundamental differences between parametric and non-parametric tests in terms of basic assumptions, usage conditions, and required data types. It covered several common tests such as the independent samples t-test and ANOVA for parametric analysis, alongside non-parametric alternatives like the Mann-Whitney U test and Kruskal-Wallis test, which are used when data don't meet strict statistical assumptions.
Dr. Al-Karamneh explained that "proper understanding of data characteristics is essential for selecting appropriate tests, as statistical analysis tools require scientific judgment rather than mechanical application." Dr. Al-Haj Mahmoud added that non-parametric tests are equally important as parametric ones and sometimes more effective in handling real-world research data.
This workshop is part of a series of academic activities by the Faculty of Educational and Psychological Sciences designed to equip students with quantitative analysis tools and develop critical thinking in data processing and interpretation.
