หัวเรื่อง: การศึกษาเกณฑ์ปกติทางเชาวน์ปัญญาของเด็กไทย
ผู้เขียน:นางสุปาณี สนธิรัตน, รองศาสตราจารย์, Tippawan Surinya, Sirinapa Jamonman
สื่อสิ่งพิมพ์:pdf
Abstract
The purpose of this study was to explore the potential of the Culture Fair Intelligence Test Scale 3 form A as a measure of general mental ability of Thai students. Four major specific goals were as follows, 1) to establish norms of test score for Thai students : The subjects comprised or 2453 freshmen; both males and females of Chulalongkorn University and Kasetsart University with the ages ranged from 16 to 24 years: the samples were selected by simple random sampling method, 2) to assess the reliabillty and validity of the test, 3) to compare the I.Q. of Thai student from different backgrounds, 4) to compare the I.Q. of Thai students who graduated from different institutions and fields of study and, 5) to determine the best variables as the prediction for the I.Q. of those Thai students. The instruments used in this study were the CFIT scale 3 form A by R.B Cattell and Questionnaires. The CFIT was group-administered to all subjects in their regular classroom for 45 minutes as a power test. The data of the test was analyzed by using the Coefficient of Alpha. The pure factor validity of the tests score (1-4 sub-test) was assessed by using pearson product moment correlation. The norms were presented in percentile ranks, normalized T-scores, and stanine scores, t-test, F-test, stepwise multiple regression. Analyses were also used to analyze the data. The major results of the data analyses were as follows : 1) the mean scores of the I.Q. = 24.34, 2) the reliability coefficient of the CFIT was 0.75699, 3) the pure factor validity coefficients assessed by calculating correlation coefficient among four sub-tests resulted in a high degree of association between them. The correlation coefficients were 0.53 ; 0.72 ; 0.56 and 0.74. These results agreed with the hypothesis 1, 4) the comparision of the present data with the norms given in the manual of the test indicated that those Thai students was below the American norm, 5) the proved second hypothesis indicated that freshmen who had different backgrounds such as ages, residences, father’s occupation and father’s salaries made eifferent scores on CFIT which agreed with the second hypothesis, 6) the CFIT mean score of freshmen from Chulalongkorn University was higher than the CFIT mean score of the freshmen from Kasetsart University, 7) the results in performing the stepwise multiple regression indicated that of the nine predictive variables, the institutions, father’s educational backgrounds, ages, father’s salaries sexes and father’s occupation had significant predictive efficiency for CFIT score (Full). The predictor set containing father’s education, birth order, institutions, ages, fields of the study, father’s salaries, residence and sexes showed a high predictive efficiency for the third sub-test. The predictive sets contain institutions, father’s salaries father’s occupation and birth order were the most predictive efficiency for the fourth sub-test. It was concluded that nine veriables were found to be of practical values in predicting the CFIT score. This result had agreed with the third hypothesis.