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Star98 Educational Dataset

Description

This data is on the California education policy and outcomes (STAR program results for 1998. The data measured standardized testing by the California Department of Education that required evaluation of 2nd - 11th grade students by the the Stanford 9 test on a variety of subjects. This dataset is at the level of the unified school district and consists of 303 cases. The binary response variable represents the number of 9th graders scoring over the national median value on the mathematics exam.

The data used in this example is only a subset of the original source.

Notes

Number of Observations - 303 (counties in California).

Number of Variables - 13 and 8 interaction terms.

Definition of variables names::

    NABOVE   - Total number of students above the national median for the
               math section.
    NBELOW   - Total number of students below the national median for the
               math section.
    LOWINC   - Percentage of low income students
    PERASIAN - Percentage of Asian student
    PERBLACK - Percentage of black students
    PERHISP  - Percentage of Hispanic students
    PERMINTE - Percentage of minority teachers
    AVYRSEXP - Sum of teachers' years in educational service divided by the
            number of teachers.
    AVSALK   - Total salary budget including benefits divided by the number
               of full-time teachers (in thousands)
    PERSPENK - Per-pupil spending (in thousands)
    PTRATIO  - Pupil-teacher ratio.
    PCTAF    - Percentage of students taking UC/CSU prep courses
    PCTCHRT  - Percentage of charter schools
    PCTYRRND - Percentage of year-round schools

    The below variables are interaction terms of the variables defined
    above.

    PERMINTE_AVYRSEXP
    PEMINTE_AVSAL
    AVYRSEXP_AVSAL
    PERSPEN_PTRATIO
    PERSPEN_PCTAF
    PTRATIO_PCTAF
    PERMINTE_AVTRSEXP_AVSAL
    PERSPEN_PTRATIO_PCTAF

Source

Jeff Gill’s Generalized Linear Models: A Unified Approach

http://jgill.wustl.edu/research/books.html

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