Factor Analysis Of Ordinal Data Based On Weighted Ranking And Its Application To Reduce Perception Variables To Math Lessons Of Senior High School Student

Abstract

The objectives of research are to reduce dimension of ordinal data using factor analysis based on weighted ranking correlation. In general, the correlation is used Spearman ranking correlation. This papers will discuss about application of both methods on the case of simplify of student’s perception variables on math lessons. The samples of this research are 791 students which consist of questionnaire. Factor analysis based on the weighted ranking correlation have given the results the number of factors and variables domination on factors more good than Spearman ranking correlation. The factors that influence perception of senior high school students towards Math lesson are an internal motivation of students, negative assessment of the Math lesson, teaching methods of Math teacher, habit of learning of students in Math and the support of parents, and knowledge of impact and benefits of Math. Key Words: factor analysis, weighted ranking, perception, mat