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 kpoole@ucsd.edu

Howard Rosenthal rosentha@princeton.edu

Jeffrey Lewis jblewis@ucla.edu

James Lo jameslo@ucla.edu

Royce Carroll rcarroll@rice.edu

Source

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

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

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
result <- blackbox(Issues1980,missing=c(0,8,9),verbose=FALSE,dims=3,minscale=8)
summary(result)
[Package basicspace version 0.01 Index]