Predictive Modeling and Analysis for Scores on the General Scholastic Ability Test-A Case Study of a Senior High School in Tainan City

碩士 === 國立中興大學 === 應用數學系所 === 101 === Students have two ways to enter their purpose college which are “Admission by selection” and “Entrance examination”, since the Multi-route Promotion Program (MRPP) for College-bound Seniors has been implemented. The way in“Admission by selection” is divide into t...

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Main Authors: Xiuling Chen, 陳秀霖
Other Authors: 許英麟
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/qncb9e
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spelling ndltd-TW-101NCHU55070832019-05-15T21:02:50Z http://ndltd.ncl.edu.tw/handle/qncb9e Predictive Modeling and Analysis for Scores on the General Scholastic Ability Test-A Case Study of a Senior High School in Tainan City 大學學力測驗成績預測建模與分析-以台南市某高中為例 Xiuling Chen 陳秀霖 碩士 國立中興大學 應用數學系所 101 Students have two ways to enter their purpose college which are “Admission by selection” and “Entrance examination”, since the Multi-route Promotion Program (MRPP) for College-bound Seniors has been implemented. The way in“Admission by selection” is divide into two parts -Starry recommended and Individual applications. Both of them use the grades of Scholastic Ability Test for appraising through comparison.However,for the impact of low birth rate and the change of policies , many colledge adjust higher ration of students from “Admission by selection”. Waiting Department Required Test in july is quite a long time , most students lose their patience , and they want to decide their ideal college as soon as possible,hence the grades of Scholastic Ability Test becomes more and more important. The study shows that the variables are the data students graduated in 2012 and 2013 years, which are the grades of Scholastic Ability Test, the grades of simulated tests, scores on the Basic Competence Test, GEPT for all primary,average scores in second year at high school, groups,sex,this school or other schools.I analyze the data by using software Excel 2010 and R i3862.15.2, correlation, simple linear regression, multiple linear regression,one-way anova,and gradually fine the best fitted line to predict. The conclusions are as follows: (1)The Predictive model is : ModelA: The Predictive Scores =-6.397+0.258× simulated test 1+0.375× simulated test 2+0.235× simulated test3+0.051×scores on the Basic Competence Test ModelB: The Predictive Scores =-8.807+0.179× simulated test 1+0.286× simulated test 2+0.229× simulated test3+-1.14×groups+0.070×scores on the Basic Competence Test+0.068×average scores in second year at high school (2)The scores on the Basic Competence Test, average scores in second year at high school, the grades of simulated tests influence the grades of Scholastic Ability Test. (3)The scores on the Basic Competence Test influence average scores in second year at high school and the grades of simulated tests. (4)Simulated tests have correlation . (5)Average scores in second year at high school influence the grades of simulated tests. (6)GEPT for all basic level has an influence on English scores in second year at high school,English grades of Scholastic Ability Test and the grades of Scholastic Ability Test. (7)Sex does not influence the grades of Scholastic Ability Test. (8)Graduated from this school or other schools does not influence the grades of simulated tests. 許英麟 2013 學位論文 ; thesis 52 zh-TW
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description 碩士 === 國立中興大學 === 應用數學系所 === 101 === Students have two ways to enter their purpose college which are “Admission by selection” and “Entrance examination”, since the Multi-route Promotion Program (MRPP) for College-bound Seniors has been implemented. The way in“Admission by selection” is divide into two parts -Starry recommended and Individual applications. Both of them use the grades of Scholastic Ability Test for appraising through comparison.However,for the impact of low birth rate and the change of policies , many colledge adjust higher ration of students from “Admission by selection”. Waiting Department Required Test in july is quite a long time , most students lose their patience , and they want to decide their ideal college as soon as possible,hence the grades of Scholastic Ability Test becomes more and more important. The study shows that the variables are the data students graduated in 2012 and 2013 years, which are the grades of Scholastic Ability Test, the grades of simulated tests, scores on the Basic Competence Test, GEPT for all primary,average scores in second year at high school, groups,sex,this school or other schools.I analyze the data by using software Excel 2010 and R i3862.15.2, correlation, simple linear regression, multiple linear regression,one-way anova,and gradually fine the best fitted line to predict. The conclusions are as follows: (1)The Predictive model is : ModelA: The Predictive Scores =-6.397+0.258× simulated test 1+0.375× simulated test 2+0.235× simulated test3+0.051×scores on the Basic Competence Test ModelB: The Predictive Scores =-8.807+0.179× simulated test 1+0.286× simulated test 2+0.229× simulated test3+-1.14×groups+0.070×scores on the Basic Competence Test+0.068×average scores in second year at high school (2)The scores on the Basic Competence Test, average scores in second year at high school, the grades of simulated tests influence the grades of Scholastic Ability Test. (3)The scores on the Basic Competence Test influence average scores in second year at high school and the grades of simulated tests. (4)Simulated tests have correlation . (5)Average scores in second year at high school influence the grades of simulated tests. (6)GEPT for all basic level has an influence on English scores in second year at high school,English grades of Scholastic Ability Test and the grades of Scholastic Ability Test. (7)Sex does not influence the grades of Scholastic Ability Test. (8)Graduated from this school or other schools does not influence the grades of simulated tests.
author2 許英麟
author_facet 許英麟
Xiuling Chen
陳秀霖
author Xiuling Chen
陳秀霖
spellingShingle Xiuling Chen
陳秀霖
Predictive Modeling and Analysis for Scores on the General Scholastic Ability Test-A Case Study of a Senior High School in Tainan City
author_sort Xiuling Chen
title Predictive Modeling and Analysis for Scores on the General Scholastic Ability Test-A Case Study of a Senior High School in Tainan City
title_short Predictive Modeling and Analysis for Scores on the General Scholastic Ability Test-A Case Study of a Senior High School in Tainan City
title_full Predictive Modeling and Analysis for Scores on the General Scholastic Ability Test-A Case Study of a Senior High School in Tainan City
title_fullStr Predictive Modeling and Analysis for Scores on the General Scholastic Ability Test-A Case Study of a Senior High School in Tainan City
title_full_unstemmed Predictive Modeling and Analysis for Scores on the General Scholastic Ability Test-A Case Study of a Senior High School in Tainan City
title_sort predictive modeling and analysis for scores on the general scholastic ability test-a case study of a senior high school in tainan city
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/qncb9e
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