Statistical Data Analysis Structure

Statistical Data Analysis Structure aims to give students the ability to develop new knowledge, technology and or art in the field of scientific research and evaluation of education or professional practice through research to produce innovative, original and tested work that produces various statistical concepts, variables, variable measurement, measurement scale, data type, population and sample; to solve new science, technology, and/or art problems in the field of research and evaluation of education through interdisciplinary, or multidisciplinary and transdisciplinary approaches both on the concept of measures of centralization and dissemination of data; to solve new science, technology, and/or arts problems in the field of education research and evaluation through interdisciplinary, or multidisciplinary and transdisciplinary approaches both on the distribution of opportunities, analytical requirement testing techniques, average similarity testing; to solve new science, technology, and/or arts problems in the field of education research and evaluation through interdisciplinary, or multidisciplinary and transdisciplinary approaches in both one-way ANOVA, two-way ANOVA and follow-up testing, simple regression, multiple linear regression; to solve new science, technology, and/or arts problems in the field of educational research and evaluation through interdisciplinary, or multidisciplinary and transdisciplinary approaches both on correlation, path analysis, one-way education; and to manage, lead development research and deaminate and publish research results that are beneficial to society and science in the field of education research and evaluation, in the research area statistical data analysis structure and able to get national and international recognition.