THE STUDY OF THE RESULT OF THE BIASED PRE O-NET TEST OF AT PRATHOMSUKSA 6 STUDENTS UNDER THE OFFICE OF CHAIYAPHUM EDUCATIONAL SERVICE AREA 3 BY THE DIFFERNCES OF ANALYSIS WAYS

Abstract

This research selected the prejudice analysis of Pre O-NET test. Grade 6, Schools under the Office of Chaiyaphum Primary Educational Service Area, Area 3, Academic Year 2017, with the objectives of 1)To study the analysis of the bias of the test in 2 ways, namely the method of difficulty conversion And how to use the classification power 2) To know the number of tests that are biased By using different analytical methods And to point out the prejudice of Prathom Suksa Pre O-NET tests. With the bias analysis of the test, 2 methods, namely the method of difficulty conversion and the use of classification power. The result found that In mathematics courses, there are 17 multiple choice exams made by difficulty conversion methods there are 10 items of bias that are 58.82 % and how to use discriminate method there were 15 items of bias, 88.24%. In science subjects, with 22 multiple-choice exams there are 16 items of bias, 72.73% and how to use discriminate method there are 20 items of bias, 90.91%. In Thai language courses, with 30 multiple-choice exams made by difficulty conversion methods Found that there were 22 items of bias, 73.33% , and how to use discriminate method there are 24 items of bias, 80.00%. In the English language course, there are 30 multiple choice exams made by the difficulty conversion method. Found that there were 23 items of bias, 76.67 %, and how to use discriminate method there are 24 items of bias, 80.00% From the analysis concluded that How to use the power of classification can tell the number of tests that are more biased than how to convert the difficulty.