Issues1980 {basicspace}

R Documentation

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)

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

### 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)

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