Questionnaire Evaluation with Factor Analysis: Attitude Towards Inclusive Education

Abstract

This paper focused on the Questionnaire Evaluation with Factor Analysis: Attitude towards Inclusive Education. Factor analysis is by far the most often used multivariate technique of research studies. Factor analysis, thus, seeks to resolve a large set of measured variables in terms of relatively few categories, known as factors. This technique allows the researcher to group variables into factors and the factors so derived may be treated as new variables and their value derived by summing the values of the original variables which have been grouped into the factor. The meaning and name of such new variables is subjectively determined by the researcher. Since the factors happen to be linear combinations of data, the coordinates of each observation or variable is measured to obtain what are called factor loading. Such factor loading represent the correlation between the particular variables and the factor, and are usually place in a matrix of correlations between the variable and the factor.
The data were collected using survey method. Simple random sampling technique was used in this study. The number of respondent was 249 students both boys and girls studying in Chennai schools at High school level. After a pilot study item analysis is dine for each items, 41 statements were retained out of 50 statements. The tool on a five point rating scale like strongly Agree to strongly Disagree. The statistical technique used was factor analysis. The result showed five new dimensions or factors was successfully constructed using factor analysis.