dataMach4_lbl {lessR}

VariableLabels: Mach4 Data Set

Description

For the data of 351 responses to the 20-item Mach IV scale.

Usage

data(dataMach4_lbl)

Format

Variable labels, the items of the Christie and Geiss Mach IV Scale

m01: Never tell anyone the real reason you did something unless it is useful to do so
m02: The best way to handle people is to tell them what they want to hear
m03: One should take action only when sure it is morally right
m04: Most people are basically good and kind
m05: It is safest to assume that all people have a vicious streak and it will come out when they are given a chance
m06: Honesty is the best policy in all cases
m07: There is no excuse for lying to someone else
m08: Generally speaking, people won't work hard unless they're forced to do so
m09: All in all, it is better to be humble and honest than to be important and dishonest
m10: When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight
m11: Most people who get ahead in the world lead clean, moral lives
m12: Anyone who completely trusts anyone else is asking for trouble
m13: The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught
m14: Most people are brave
m15: It is wise to flatter important people
m16: It is possible to be good in all respects
m17: Barnum was wrong when he said that there's a sucker born every minute
m18: It is hard to get ahead without cutting corners here and there
m19: People suffering from incurable diseases should have the choice of being put painlessly to death
m20: Most people forget more easily the death of a parent than the loss of their property

Source

author

References

Christie, R., & Geis, F. L., (1970). Studies in Machiavellianism. New York: Academic Press.

Hunter, J. E., Gerbing, D. W., and Boster, F. J. (1982). Machiavellian beliefs and personality: The construct invalidity of the Machiavellian dimension. Journal of Personality

Examples

# Read data and variable labels (items)
d <- Read("Mach4")
l <- Read("Mach4_lbl")

# Convert to factors, i.e., categorical with value labels
d <- factors(m01:m20,
            levels=0:5,
            labels=c("Strongly Disagree", "Disagree", "Slightly Disagree",
                     "Slightly Agree", "Agree", "Strongly Agree"))