WilPat: Wilson-Patterson Conservatism Scale

Description Usage Format Note Examples

Description

This dataset contains a modified version of the classical Wilson-Patterson conservatism scale. Each item has the following response categories: 0 ... disapprove, 1 ... approve, 2 ... don't know.

Usage

1
data("WilPat")

Format

The first 15 items are conservative items, the remaining ones are liberal. There are 804 persons in the sample. In addition there are the following covariates:

Country

Participant's country.

LibCons

Self-reported liberalism/conservatism.

LeftRight

Self-reported left/right identification.

Gender

Gender.

Age

Age.

Note

Thanks to Benedek Kurdi and Levente Littvay for providing this dataset.

Examples

1
2
data("WilPat")
str(WilPat)

Example output

'data.frame':	804 obs. of  51 variables:
 $ Patriotism              : num  1 1 1 1 1 1 1 1 2 1 ...
 $ Capitalism              : num  1 1 1 1 2 1 2 1 1 0 ...
 $ Privatization           : num  1 1 2 1 1 1 1 1 1 1 ...
 $ Nationalism             : num  1 1 1 1 1 1 1 1 2 1 ...
 $ FreeMarket              : num  2 1 1 1 1 1 1 0 1 1 ...
 $ LowerTaxes              : num  0 2 1 1 2 1 1 1 1 1 ...
 $ FreeTrade               : num  1 2 1 1 1 1 1 0 1 1 ...
 $ ChurchAuthority         : num  1 0 0 0 2 1 0 1 2 1 ...
 $ PrivateHealthcare       : num  1 1 1 1 2 1 2 0 1 1 ...
 $ NuclearEnergy           : num  1 1 1 1 0 1 1 0 0 1 ...
 $ PrivatePensions         : num  0 1 1 1 2 1 1 1 1 1 ...
 $ SmallGovernment         : num  0 1 0 1 0 1 1 1 1 1 ...
 $ Obedience               : num  0 1 1 1 2 1 1 1 1 0 ...
 $ GeneticallyModifiedFoods: num  1 1 1 0 2 1 1 0 0 1 ...
 $ ConsumerCulture         : num  1 1 1 0 2 1 2 1 2 1 ...
 $ SocialSecurity          : num  1 1 1 1 1 1 1 1 1 1 ...
 $ FreeEducation           : num  0 1 1 1 1 1 1 0 1 1 ...
 $ MininumWage             : num  1 1 0 1 1 1 2 0 1 1 ...
 $ MinorityRights          : num  2 2 1 1 1 1 1 1 0 1 ...
 $ StateOwnership          : num  1 1 1 0 2 1 1 1 0 1 ...
 $ MarketRegulation        : num  1 1 1 1 2 1 1 2 1 2 ...
 $ UniversalHealthcare     : num  1 1 1 1 0 1 1 1 1 1 ...
 $ UnemploymentBenefits    : num  1 1 1 0 1 0 1 0 1 0 ...
 $ LegalAbortions          : num  0 1 0 2 0 0 1 1 1 2 ...
 $ Globalization           : num  1 1 1 1 2 1 1 1 1 1 ...
 $ Socialism               : num  1 1 1 1 2 1 1 1 1 1 ...
 $ LaborUnions             : num  0 1 1 1 2 1 1 1 0 1 ...
 $ Securalism              : num  2 1 1 1 1 1 2 1 1 1 ...
 $ BirthControl            : num  1 1 1 1 1 1 1 1 1 1 ...
 $ Multiculturalism        : num  0 1 0 1 2 1 1 1 1 1 ...
 $ ProgressiveTaxation     : num  1 1 1 1 1 1 1 0 0 1 ...
 $ GayMarriage             : num  0 0 0 0 2 0 0 0 0 0 ...
 $ LegalImmigration        : num  2 1 1 1 2 1 2 0 1 1 ...
 $ LaborStrikes            : num  1 0 0 1 2 1 1 0 0 1 ...
 $ LuxuryTax               : num  1 1 1 0 1 1 1 0 0 1 ...
 $ Referenda               : num  1 1 1 1 1 0 2 2 2 1 ...
 $ EnvironmentalProtection : num  1 1 1 1 1 1 1 0 1 1 ...
 $ SexualFreedom           : num  0 0 0 1 1 1 0 1 1 0 ...
 $ CorporateTaxes          : num  2 1 1 0 2 1 1 1 0 1 ...
 $ RenewableEnergy         : num  1 1 1 1 1 1 1 0 1 1 ...
 $ GayAdoption             : num  2 0 0 1 2 0 0 0 0 0 ...
 $ WageEquality            : num  1 1 1 1 0 1 1 0 1 0 ...
 $ PollutionControl        : num  0 1 1 1 1 1 1 0 1 0 ...
 $ GenderQuotas            : num  1 0 1 0 1 0 2 0 0 1 ...
 $ AffirmativeAction       : num  0 0 0 0 2 1 2 0 2 0 ...
 $ LegalizedMarijuana      : num  2 0 0 1 2 0 2 2 0 0 ...
 $ Country                 : Factor w/ 3 levels "Hungary","India",..: 2 2 2 2 2 2 2 2 2 2 ...
 $ LibCons                 : int  4 4 1 4 2 5 3 3 5 2 ...
 $ LeftRight               : int  8 5 6 4 4 6 8 6 6 5 ...
 $ Gender                  : Factor w/ 2 levels "Female","Male": 2 2 2 1 2 1 1 2 2 2 ...
 $ Age                     : int  25 43 27 33 46 34 39 36 33 22 ...

MPsychoR documentation built on June 15, 2020, 3 p.m.

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