Categorical Data Analysis

Categoric Data Analysis aims to give students to producing new knowledge introduction to nonparametric statistics; Able to produce solutions in an effort to solve educational research and evaluation problems through an interdisciplinary, or multidisciplinary and transdisciplinary approach which refers to nonparametric tests for two populations and hypothesis testing or more samples; Producing benefits to improve the quality of education and educational evaluation with an interdisciplinary, multidisciplinary and transdisciplinary approach which refers to the chi-square test; Generating benefits to improve the quality of education and education evaluation through an interdisciplinary, or multidisciplinary and transdisciplinary approach that refers to ranking, introductory analysis for categorical responses, and contingency tables; Able to manage, lead development research and disseminate and publish research results that are useful to society and science in the field of educational research and evaluation, in the area of nonparametric and word analysis research with SAS and Minitab and are able to get national and international recognition.