R Dataset / Package sem / CNES
On this R-data statistics page, you will find information about the CNES data set which pertains to Variables from the 1997 Canadian National Election Study. The CNES data set is found in the sem R package. You can load the CNES data set in R by issuing the following command at the console data("CNES"). This will load the data into a variable called CNES. If R says the CNES data set is not found, you can try installing the package by issuing this command install.packages("sem") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the CNES R data set. The size of this file is about 70,103 bytes.
Variables from the 1997 Canadian National Election Study
Description
These variables are from the mailback questionnaire to the 1997 Canadian National Election Study, and are intended to tap attitude towards “traditional values.”
Usage
CNES
Format
A data frame with 1529 observations on the following 4 variables.
MBSA2
-
an ordered factor with levels
StronglyDisagree
,Disagree
,Agree
, andStronglyAgree
, in response to the statement, “We should be more tolerant of people who choose to live according to their own standards, even if they are very different from our own.” MBSA7
-
an ordered factor with levels
StronglyDisagree
,Disagree
,Agree
, andStronglyAgree
, in response to the statement, “Newer lifestyles are contributing to the breakdown of our society.” MBSA8
-
an ordered factor with levels
StronglyDisagree
,Disagree
,Agree
, andStronglyAgree
, in response to the statement, “The world is always changing and we should adapt our view of moral behaviour to these changes.” MBSA9
-
an ordered factor with levels
StronglyDisagree
,Disagree
,Agree
, andStronglyAgree
, in response to the statement, “This country would have many fewer problems if there were more emphasis on traditional family values.”
Source
York University Institute for Social Research.
Dataset imported from https://www.r-project.org.