Statistical Analysis of Subject Selection Data in NCUEE Examination
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- Aoki Satoshi
- Kagoshima University, JST CREST
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- Otsu Tatsuo
- National Center for University Entrance Examinations, JST CREST
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- Takemura Akimichi
- University of Tokyo, JST CREST
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- Numata Yasuhide
- University of Tokyo, JST CREST
Bibliographic Information
- Other Title
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- 大学入試センター試験科目選択データの統計解析
- ダイガク ニュウシ センター シケン カモク センタク データ ノ トウケイ カイセキ
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Abstract
In this paper we present statistical analysis of data on subject selection by examinees in NCUEE (National Center for University Entrance Examinations) examination in 2006. In NCUEE examinations, exmaminees can choose subjects depending on the university and the department they are applying. As seen from the well publicized news on skipping world history classes in some high schools, the pattern of subject selection is complicated and depends on many factors, incluing geography and sex. Analysis of influences of these factors is important in discussing the university entrance examination and the education in high shools in Japan. In this paper we deal with geographic factors by incorporating effect of individual cells into hierarchical models of contingency tables. We also estimate the influence of sex on selection of science subjects by conditional likelihood method. For confirming these effects we employ Markov chain Monte Carlo methods, in addition to asymptotic approximation.
Journal
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- Ouyou toukeigaku
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Ouyou toukeigaku 39 (2_3), 71-100, 2010
Japanese Society of Applied Statistics
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Details 詳細情報について
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- CRID
- 1390282679419713024
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- NII Article ID
- 10027618146
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- NII Book ID
- AN00330942
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- ISSN
- 18838081
- 02850370
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- NDL BIB ID
- 10956392
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed