ex1033: IQ Score and Income

Description Usage Format Source References See Also Examples

Description

This is a subset of the National Longitudinal Study of Youth (NLSY79) data, with annual incomes in 2005 (in U.S. dollars, as Recorded in a 2006 interview); scores on the Word Knowledge, Paragraph Comprehension, Arithmetic Reasoning, and Mathematics Knowledge portions of the Armed Forces Vocational Aptitude Battery (ASVAB) of tests taken in 1981; and the percentile score of the Armed Forces Qualifying Test (AFQT), which is a linear combination of the four component tests mentioned above (but note that AFQT reported here is the percentile, which is not a linear combination of the four component scores). Which of the five test scores seem to be the most important predictors of 2005 income? Is the AFQT sufficient by itself?

Usage

1

Format

A data frame with 2,584 observations on the following 7 variables.

Subject

the subject identification number

Arith

score on the Arithmetic Reasoning test in 1981

Word

score on the Word Knowledge Test in 1981

Parag

score on the Paragraph Comprehension test in 1981

Math

score on the Mathematics Knowledge test in 1981

AFQT

percentile score on the AFQT intelligence test in 1981

Income2005

annual income in 2005

Source

Ramsey, F.L. and Schafer, D.W. (2013). The Statistical Sleuth: A Course in Methods of Data Analysis (3rd ed), Cengage Learning.

References

National Longitudinal Survey of Youth, U.S. Bureau of Labor Statistics, http://www.bls.gov/nls/home.htm (May 8, 2008).

See Also

ex0222, ex0330, ex0331, ex0524, ex0525, ex0828, ex0923, ex1223

Examples

1

Example output

'data.frame':	2584 obs. of  7 variables:
 $ Subject   : int  2 6 7 8 9 13 16 17 18 20 ...
 $ Arith     : int  8 30 14 13 21 30 17 29 30 17 ...
 $ Word      : int  15 35 27 35 28 29 30 33 35 28 ...
 $ Parag     : int  6 15 8 12 10 13 12 13 14 14 ...
 $ Math      : int  6 23 11 4 13 24 17 21 23 20 ...
 $ AFQT      : num  6.84 99.39 47.41 44.02 59.68 ...
 $ Income2005: int  5500 65000 19000 36000 65000 8000 71000 43000 120000 64000 ...

Sleuth3 documentation built on May 2, 2019, 6:41 a.m.