Issues1980: 1980 Issues Scakes

Description Usage Value Author(s) Source See Also Examples

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

1

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(s)

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

Source

American national Election Study. http://www.electionstudies.org/

Also availble from Keith Poole. http://voteview.com/

See Also

' 'blackbox', 'summary.blackbox'.

Examples

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

### This command conducts estimates, which we instead load using data()
# Issues1980_bb <- blackbox(Issues1980,missing=c(0,8,9),verbose=FALSE,dims=3,minscale=8)
data(Issues1980_bb)

summary(Issues1980_bb)

basicspace documentation built on Jan. 11, 2020, 9:32 a.m.