A Study of the Correlation and the Prediction of the Scores of the BC Test – An Example of a Junior High School in Taipei County taken

Autor: Chun-Chang Lin, 林俊昌
Rok vydání: 2008
Druh dokumentu: 學位論文 ; thesis
Popis: 96
Title of Thesis: A Study of the Correlation and the Prediction of the Scores of the BC Test – An Example of a Junior High School in Taipei County taken Name of Institute: Graduate Institute of Applied Statistics, College of Management, Fu Jen Catholic University Name of Student: Lin, Chun-Chang Advisor: Dr. Liu, Jeng-Fu Total Pages: 83 Key words: the BC (Basic Competence) test, Analysis of Variance, the Correlate Analysis, Multiple Regression Abstract: This study aimed to investigate the correlative variables of the scores of the Junior High Basic Competence (BC) test, and then took advantage of the correlative variables to predict the math score and the total score of the BC test. By means of the application of the Descriptive Statistics, the Chi-square Test, the Analysis of Variance, the Correlate Analysis, and the Multiple Regression, the research, composed of 1004 third-year subjects of a junior high school in Taipei County, explored the correlative variables of the BC test, used to predict the math score and the total score of the BC test. The findings were as follows. In the first BC test, there was a significant difference between the total scores and the subjects’ genders, the teachers’ seniority, or their parents’ education. Besides, the total scores were also highly correlated with the three previous aspects and their academic scores at school. Moreover, there was a significant difference between their math scores of the first BC test and not only the subjects’ genders but their parents’ education. Besides, their math scores were also highly correlated with the two preceding aspects and their academic math scores. The model of the Multiple Regression of their total scores could take advantage of the subjects’ genders, their teachers’ seniority, their parents’ education, and their academic scores to explain the variables, with enough explanation of the total scores of the BC test. Furthermore, the model of the Multiple Regression of their math scores could take advantage of the subjects’ genders, their parents’ education, their academic scores, and whether their teachers were married or not to explain the variables, with enough explanation of the math scores of the BC test. For those subjects having taken two BC tests, their scores of the first BC test were comparatively and apparently better than the scores of the subjects having taken only one BC test. Except Social Studies, the scores of the other four subjects in the second BC test were better than those in the first BC test. The total scores of the two BC tests were the most highly correlative, and the English scores were the second. There was a significant difference between the averages of Chinese, English, math, Social Studies, and the total scores of the two BC tests. However, there was no significant difference between the averages of Science and writing. In conclusion, the total scores of the BC tests were highly correlated with their academic scores. Those having better academic scores definitely got better total scores of the BC tests. It is recommended that students should attend to their cultivation of basic learning abilities, which the BC tests can reveal; besides, students should avail themselves of the opportunity of the two BC tests.
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