An international analysis on the relationships among the educational, economic, and the student''s achievement indicators:The TIMSS Study

碩士 === 國立台北師範學院 === 教育政策與管理研究所 === 92 === The factor that affects the educational achievement is rather complicated. The main purpose of the research is to explore the relation among the student’s educational achievement, the enrollment ratio of education and economic factors. To analyze what the im...

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Bibliographic Details
Main Authors: Hsin Yi Cheng, 鄭心怡
Other Authors: Fan Chung-Chang
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/62126805893503940478
Description
Summary:碩士 === 國立台北師範學院 === 教育政策與管理研究所 === 92 === The factor that affects the educational achievement is rather complicated. The main purpose of the research is to explore the relation among the student’s educational achievement, the enrollment ratio of education and economic factors. To analyze what the important factor influence the student''s educational achievement, the study based on the capital theories as the foundation. The research analyzes through the Multi-Regression Analysis, LISREL, Cluster Analysis, and Discriminate Analysis to test the hypotheses. It used 8 educational and economic indicators for analysis, which is collected from OECD report(1996), World Bank Development Report (1996/1997/1998/1999/2000/2001),and IEA report. There are three indicators in the study. That’s educational indicators(e.g.: the ratio of teacher-student, the enrollment ratio of secondary education, literacy ratio), economic indicators (e.g.: per capital income, the ratio of economic growth, the GNP ratio of educational expenditure)and educational achievement indicators(TIMSS mathematics and science achievement). To investigate the possible factors of affecting the education achievement. Using the Cluster Analysis, categorized in 1995’ indicators into three groups: high — educational resource(12 countries), medium —educational resource (5 countries), low —educational resource (13 countries);categorized in 1999’ indicators into three groups: high - educational resource(10 countries), medium —educational resource ( 5 countries), low —educational resource(20 countries). In order to test the consistency on these clustering, the Discriminate Analysis is used to re-categorizes. The 100% of countries are correctly classified as the results. Taiwan falls in to medium —educational resource nation. Finally, according to the conclusion of this study, the researcher provided some related suggestions.