Learn R Programming

basicspace (version 0.25)

Issues1980: 1980 Issues Scakes

Description

Issue scales from the 1980 National Election Study. The numbers 0, 8, and 9 are considered to be missing values, except for the two abortion scales, where '7' is also a missing value. Hence, it must be recoded as in the example shown below before scaling. The data is used as an example for blackbox().

Usage

data(LC1980)

Arguments

Value

The data is formatted as an numeric matrix with the following elements.

Issues

matrix, containing reported self-placements along various stimuli on a 7 point Liberal-Conservative scales (with the exception of abortion scales, which are 4 point):

libcon1

Liberal-conservative self-placement on 7 point scale.

defense

Defense spending self-placement on 7 point scale.

govserv

Government service on 7 point scale.

inflation

Importance of inflation self-placement on 7 point scale.

abortion1

Attitude on abortion 4 point scale.

taxcut

Support for tax cut on 7 point scale.

libcon2

Liberal-conservative self-placement on 7 point scale.

govhelpmin

Government aid on 7 point scale.

russia

Attitude towards Russia on 7 point scale.

womenrole

Role of women on 7 point scale.

govjobs

Placement of Democrats on 7 point scale.

equalrights

Support for equal rights on 7 point scale.

busing

Opinion on busing on 7 point scale.

abortion2

Another attitude on abortion on 4 point scale.

Author

Keith Poole ktpoole@uga.edu

Howard Rosenthal hr31@nyu.edu

Jeffrey Lewis jblewis@ucla.edu

James Lo lojames@usc.edu

Royce Carroll rcarroll@rice.edu

Christopher Hare cdhare@ucdavis.edu

References

David A. Armstrong II, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, and Howard Rosenthal. 2021. Analyzing Spatial Models of Choice and Judgment. 2nd ed. Statistics in the Social and Behavioral Sciences Series. Boca Raton, FL: Chapman & Hall/CRC. doi: 10.1201/9781315197609

Keith T. Poole, Jeffrey B. Lewis, Howard Rosenthal, James Lo, and Royce Carroll. 2016. ``Recovering a Basic Space from Issue Scales in R.'' Journal of Statistical Software 69(7): 1-21. doi:10.18637/jss.v069.i07

Keith T. Poole. 1998. ``Recovering a Basic Space From a Set of Issue Scales.'' American Journal of Political Science 42(3): 954-993. doi: 10.2307/2991737

See Also

'blackbox', 'summary.blackbox'.

Examples

Run this code
  ### Loads issue scales from the 1980 ANES.
  data(Issues1980)
  Issues1980[Issues1980[,"abortion1"]==7,"abortion1"] <- 8	#missing recode
  Issues1980[Issues1980[,"abortion2"]==7,"abortion2"] <- 8	#missing recode

  # \donttest{ 
  Issues1980_bb <- blackbox(Issues1980, missing=c(0,8,9), verbose=FALSE, 
    dims=3, minscale=8)
  # }
  ### 'Issues1980_bb' can be retrieved quickly with: 
  data(Issues1980_bb)

  summary(Issues1980_bb)

Run the code above in your browser using DataLab