dc.contributor.advisor | 王鍾和<br>吳齊殷 | zh_TW |
dc.contributor.advisor | Wang, Chuag Ho<br>Wu, Chyi In | en_US |
dc.contributor.author (作者) | 張明宜 | zh_TW |
dc.contributor.author (作者) | Chang, Ming Yi | en_US |
dc.creator (作者) | 張明宜 | zh_TW |
dc.creator (作者) | Chang, Ming Yi | en_US |
dc.date (日期) | 2007 | en_US |
dc.date.accessioned | 19-九月-2009 12:42:04 (UTC+8) | - |
dc.date.available | 19-九月-2009 12:42:04 (UTC+8) | - |
dc.date.issued (上傳時間) | 19-九月-2009 12:42:04 (UTC+8) | - |
dc.identifier (其他 識別碼) | G0901525103 | en_US |
dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/37208 | - |
dc.description (描述) | 博士 | zh_TW |
dc.description (描述) | 國立政治大學 | zh_TW |
dc.description (描述) | 教育研究所 | zh_TW |
dc.description (描述) | 90152510 | zh_TW |
dc.description (描述) | 96 | zh_TW |
dc.description.abstract (摘要) | This research highlights the importance of considering the degree students’ integration into school classes when estimating school effects. Combining and using two different datasets collected before and after education reform in Taiwan, the study compares school effects under two different education systems in order to answer the question about the efficiency of education reform.I estimate multilevel growth models to assess how school environments affect changes in students’ initial and change rate of their academic performance across junior high school years. Besides, two-part random-effects models are also introduced into the analyses to testify how school environment influence adolescent performance in their high school enrollments. My results support and extend Blau’s structural theory, revealed that school contexts and school networks directly and indirectly influences students’ performance in their school classes and in their high school enrollments, suggesting students’ outcome are conditioning by the local structure, the school environments. However, through making more friends inside and outside school classes, students still have their own power to modify the environmental impacts on themselves.With respect to the comparisons of school effects on individuals’ performance under two different education systems in Taiwan, the decreasing peer influences and the decreasing significance of school networks indicate that the school effects gradually decline after the administration of education reform. One should note that simply a little change on education system might alter students, parents, and teachers’ behaviors. The decreasing peer effects and the decreasing school effects on students’ academic performance suggesting that students might change their behaviors on interacting with their friends and change their behaviors at schools in order to jostle higher education after education reform. The increasing cram schooling and the increasing significance of family SES support the inference that students modify their behaviors to come up against the education reform in Taiwan.These findings suggest the need for more panel datasets collected from the newly cohorts after education reform was administrated for a period and the need for more studies of education reform and school effects, to have more understanding about the mechanisms of school efficiency. | en_US |
dc.description.tableofcontents | CHAPTER 1 INTRODUCTION 1BACKGROUND OF THE STUDY 1RESEARCH PURPOSES 12RESEARCH QUESTIONS 14CHAPTER 2 LITERATURE REVIEW 16SCHOOL EFFECTS 16THEORETICAL BACKGROUND 20INDIVIDUAL’S INTEGRATION INTO SCHOOL SYSTEM 22CONTEXTS AS SOCIAL STRUCTURES 25NETWORKS AS SOCIAL STRUCTURES 28COMPARISONS OF TWO EDUCATION SYSTEM 33CHAPTER 3 RESEARCH METHODS 39RESEARCH FRAMEWORK AND HYPOTHESES 39RESEARCH SUBJECTS 42Research Design of Taipei Youth Project 42Research Design of Taiwan Youth Project 43Social Network Data 46RESEARCH INSTRUMENTS 47ANALYTIC STRATEGIES 51Students’ Academic Performance in Junior High School 51Students’ High School Placement 57CHAPTER 4 RESULTS 61DESCRIPTIVE STATISTICS 61STUDENTS’ ACADEMIC PERFORMANCES IN JUNIOR HIGH SCHOOLS 66Model of Student Cohort from Old System 67Model of Student Cohort from New System 70Comparison of Two Education Systems 76STUDENTS’ HIGH SCHOOL PLACEMENT 83Model of Student Cohort from Old System 85Model of Student Cohort from New System 86Comparison of Two Education Systems 90CHAPTER 5 DISCUSSION 94SCHOOL EFFECTS ON STUDENTS’ PERFORMANCE 94THE INFLUENCES OF EDUCATION SYSTEMS 104CHAPTER 6 CONCLUSIONS AND IMPLICATIONS 108SUMMARY OF FINDINGS 108IMPLICATIONS 113LIMITATIONS 114BIBLIOGRAPHY 128APPENDICES 129APPENDIX 1. RESEARCH SCALES 129LIST OF TABLESTABLE 2.1 THE DIFFERENCE BETWEEN TWO EDUCATION SYSTEMS 37TABLE 3.1 RESPONSE RATE OF YPS 43TABLE 3.2 TYP PHASE I : RESPONSE RATE (2000-2006) 45TABLE 4.1 STUDENTS’ ACADEMIC RANKS IN JUNIOR HIGH OF ENTRANCE EXAM COHORT 62TABLE 4.2 STUDENTS’ ACADEMIC RANKS IN JUNIOR HIGH OF COMPETENCY TEST COHORT 62TABLE 4.3 INDIVIDUAL LEVEL DESCRIPTIVE ANALYSIS OF ENTRANCE EXAM COHORT 63TABLE 4.4 INDIVIDUAL LEVEL DESCRIPTIVE ANALYSIS OF SAMPLE FROM NEW EDUCATION SYSTEM 63TABLE 4.5 SCHOOL LEVEL DESCRIPTIVE ANALYSIS OF SAMPLE FROM THE OLD EDUCATION SYSTEM 64TABLE 4.6 SCHOOL LEVEL DESCRIPTIVE ANALYSIS OF SAMPLE FROM NEW EDUCATION SYSTEM 64TABLE 4.7 FIXED EFFECT OF MULTILEVEL CUMULATIVE LOGIT MODEL OF ADOLESCENT ACADEMIC PERFORMANCE IN JUNIOR HIGH SCHOOL 73TABLE 4.8 RANDOM EFFECT OF MULTILEVEL CUMULATIVE LOGIT MODEL OF STUDENT COHORT FORM ENTRANCE EXAM 76TABLE 4.9 RANDOM EFFECT OF MULTILEVEL CUMULATIVE LOGIT MODEL OF STUDENT COHORT FORM COMPETENCY TEST 76TABLE 4.10 COMPARISON OF TWO STUDENT COHORTS 77TABLE 4.11 FIXED EFFECT OF MULTILEVEL CUMULATIVE LOGIT MODEL OF ADOLESCENT ACADEMIC PERFORMANCE IN JUNIOR HIGH SCHOOL(FULL SAMPLE) 80TABLE 4.12 RANDOM EFFECT OF MULTILEVEL CUMULATIVE LOGIT MODEL OF ADOLESCENT ACADEMIC PERFORMANCE IN JUNIOR HIGH SCHOOL(FULL SAMPLE) 82TABLE 4.13 PARAMETER ESTIMATES AND MODEL COMPARISONS OF MODEL OF HIGH SCHOOL PLACEMENT 87TABLE 4.14 MODEL FITTING OF MODELING STUDENT COHORT FROM THE OLD EDUCATION SYSTEM 89TABLE 4.15 MODEL FITTING OF MODELING STUDENT COHORT FROM NEW EDUCATION SYSTEM 89TABLE 4.16 PARAMETER ESTIMATES ALL SAMPLE MODEL ON ADOLESCENT HIGH SCHOOL PLACEMENT 91TABLE 4.17 MODEL FITTING OF MODELING ALL STUDENT SAMPLE 92TABLE 5.1 SUMMARIES OF FINDINGS ABOUT INTEGRATIONS ON PERFORMANCE 95TABLE 5.2 SUMMARIES OF FINDINGS ABOUT SCHOOL CONTEXT ON PERFORMANCE 99TABLE 5.3 SUMMARIES OF FINDINGS ABOUT SCHOOL NETWORKS ON PERFORMANCE 101LIST OF FIGURESFIGURE 2.1 BLAU’S OPERATIONAL MODEL 20FIGURE 2.2 RELATION BETWEEN FRIEND NUMBERS AND WANTING TO BE SOMEONE ELSE 22FIGURE 2.3 MULTI-OPPORTUNITIES FOR SCHOOL ENTRANCE SYSTEM 34FIGURE 3.1 RESEARCH FRAMEWORK 41FIGURE 4.1 DISTRIBUTIONS OF HIGH SCHOOL PLACEMENT OF OLD COHORT 83FIGURE 4.2 DISTRIBUTIONS OF HIGH SCHOOL PLACEMENT OF NEW COHORT 84FIGURE 5.1 THE INTERACTION EFFECTS OF CLASS TYPE AND PERMEABILITY ON PERCENTILE RANKS 99 | zh_TW |
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dc.language.iso | en_US | - |
dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0901525103 | en_US |
dc.subject (關鍵詞) | 教育體制 | zh_TW |
dc.subject (關鍵詞) | 學業表現 | zh_TW |
dc.subject (關鍵詞) | 教育改革 | zh_TW |
dc.subject (關鍵詞) | 社會網絡分析 | zh_TW |
dc.subject (關鍵詞) | 多層次成長曲線模型 | zh_TW |
dc.subject (關鍵詞) | Education System | en_US |
dc.subject (關鍵詞) | School Contexts | en_US |
dc.subject (關鍵詞) | School Networks | en_US |
dc.subject (關鍵詞) | Social Network Analysis | en_US |
dc.subject (關鍵詞) | Multilevel Growth Curve Model | en_US |
dc.subject (關鍵詞) | Two-Part Random Effects Model | en_US |
dc.title (題名) | 教育體制、學習環境與學生成果之研究 | zh_TW |
dc.title (題名) | A Study on Education System, Learning Environment and Students` Academic Outcomes | en_US |
dc.type (資料類型) | thesis | en |
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