https://github.com/steph-yang/ncee
Building statistical model tracing demographic changing of China's National College Entrance Examination (NCEE) and predict its future trajectories.
https://github.com/steph-yang/ncee
china higher-education ncee
Last synced: 5 months ago
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Building statistical model tracing demographic changing of China's National College Entrance Examination (NCEE) and predict its future trajectories.
- Host: GitHub
- URL: https://github.com/steph-yang/ncee
- Owner: steph-yang
- Created: 2019-01-15T16:55:06.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-01-29T13:13:18.000Z (over 6 years ago)
- Last Synced: 2025-04-30T18:59:34.312Z (5 months ago)
- Topics: china, higher-education, ncee
- Language: TeX
- Homepage:
- Size: 13.5 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# NCEE
***Dataset***
*national data.csv* includes national NCEE registration data, national junior-high school enrollment data (JHS), newborn data (not used for analysis, just curious), and NCEE admission rate from 1987 to 2018. The dataset is arranged in the order of year of events.
*NCEE.csv* includes NCEE registration data by province from 1999 to 2018 (most provinces only have data from 2007 and that is the starting year for analysis). The dataset is arranged in the order of year of events.
*NCEE_JHS.csv* includes JHS enrollment data by province from 1999 to 2017; the data come from National Statistics Yearbook. Notice: the data are overall JHS enrollment, which means it needs to be divided by 3 for cohort data. The dataset is arranged in the order of year of events.
*NCEE_reg.csv*, same as NCEE.csv, may be deleted later.
*Shanghai 2017.csv*, *Shanghai 2018.csv*, *Zhejiang 2014.csv*, *Zhejiang 2017.csv* and *Zhejiang 2018.csv* are score and count data for NCEEs of respective year and province. Notice that Zhejiang adopted staged admission strategy before 2017 and data of 2014 are not normally distributed (somewhat weird though, still useful).
***Code File***
*NCEE.Rmd*: for Q1: five-year (2019~2023) NCEE registration number prediction and visualization (by region and national total).
*Shanghai 2018. Rmd*: for Q2: comparison between old and reformed NCEE scores of Shanghai and Zhejiang in recent years; visualization fo score distribution.
***PDF File***
Knitted Pdf