Description Usage Format Source References Examples
Random sample of size 1000 from the US National Education Longitudinal Study (NELS) data containing the mathematics, science and reading scores, together with covariates, of 8th graders in 1988.
1 | data("NELS88")
|
data.frame
containing the identification
number of the school to which the student belongs (ID
),
the standardized score of the student on a
mathematics achievement test (Math
; rescaled by an Item
Response Theory (IRT) method where a higher score indicates greater
proficiency in mathematics), the standardized
score of the student on a science achievement test (Science
),
the standardized score of the student on a reading achievement test
(Reading
), a factor indicating whether the student is a member
of an ethnic minority group (Minority
), a numeric measure of
the socio-economic status of the student and family (SES
), a
factor indicating whether the student is female (Female
), a
factor indicating whether the school is publicly funded
(Public
), the size of the student's school (Size
),
a factor indicating whether the school is located in an urban environment
(Urban
) and a factor indicating whether the school is located in a
rural environment (Rural
).
https://sites.google.com/a/wisc.edu/jed-frees/multivariate-regression-using-copulas
https://nces.ed.gov/surveys/nels88/
1 2 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.