This page contains a summary of the data available in the AuSSA 2014 - Citizenship.

To make sense of the variable names - please refer to the questionnaire which is available to download from the ADA

The complete data set is also available to download from the ADA

knitr::opts_chunk$set(
  warning = TRUE, # show warnings during codebook generation
  message = TRUE, # show messages during codebook generation
  error = TRUE, # do not interrupt codebook generation in case of errors,
                # usually better for debugging
  echo = TRUE  # show R code
)
ggplot2::theme_set(ggplot2::theme_bw())
library(codebook)
# to import an SPSS file from the same folder uncomment and edit the line below

library(haven)
library(sjlabelled)

codebook_data <- read_spss("aussa2014-codebook.sav")

#Recode can't choose to be sequential
for (col in colnames(codebook_data)) {
   if (!is.null(get_labels(codebook_data[[col]],attr.only=TRUE))) {
       labs <- get_labels(codebook_data[[col]],attr.only=TRUE)
       vals <- get_values(codebook_data[[col]])
       locator <- grep('choose',labs,ignore.case=TRUE)
       if (length(locator) != 0) {
           codebook_data[[col]] <- remove_labels(codebook_data[[col]],labels = labs[locator])
           mval <- max(vals[-locator]) + 1
           codebook_data[[col]] <- add_labels(codebook_data[[col]], labels = setNames(mval,labs[locator]))
           codebook_data[[col]][codebook_data[[col]]==vals[locator]] <- mval
       }
   }
}

# for Stata
# codebook_data <- rio::import("mydata.dta")
# for CSV
# codebook_data <- rio::import("mydata.csv")


# omit the following lines, if your missing values are already properly labelled
codebook_data <- detect_missing(codebook_data,
    only_labelled = TRUE, # only labelled values are autodetected as
                                   # missing
    negative_values_are_missing = FALSE, # negative values are missing values
    ninety_nine_problems = TRUE,   # 99/999 are missing values, if they
                                   # are more than 5 MAD from the median
    )

# If you are not using formr, the codebook package needs to guess which items
# form a scale. The following line finds item aggregates with names like this:
# scale = scale_1 + scale_2R + scale_3R
# identifying these aggregates allows the codebook function to
# automatically compute reliabilities.
# However, it will not reverse items automatically.
#codebook_data <- detect_scales(codebook_data)
metadata(codebook_data)$name <- "Australian Survey of Social Attitudes 2014 - Citizenship"
metadata(codebook_data)$description <- "The Australian Survey of Social Attitudes (AuSSA) is Australia’s main source of data for the scientific study of the social attitudes, beliefs and opinions of Australians, how they change over time, and how they compare with other societies. The survey is used to help researchers better understand how Australians think and feel about their lives. It produces important information about the changing views and attitudes of Australians as we move through the 21st century. Similar surveys are run in other countries, so data from the AuSSA also allows us to compare Australia with countries all over the world. The aims of the survey are to discover: the range of Australians’ views on topics that are important to all of us; how these views differ for people in different circumstances; how they have changed over the past quarter century; and how they compare with people in other countries. AuSSA is also the Australian component of the International Social Survey Project (ISSP). The ISSP is a cross-national collaboration on surveys covering important topics. Each year, survey researchers in some 40 countries each do a national survey using the same questions. The ISSP focuses on a special topic each year, repeating that topic from time to time. The topic for 2014 is 'Citizenship'. This is the second time this has been the topic of the survey, having previously been the theme for surveys in 2004."
metadata(codebook_data)$identifier <- "doi:10.26193/C86EZG"
metadata(codebook_data)$datePublished <- "2021-10-26"
metadata(codebook_data)$creator <- list(
      "@type" = "Person",
      givenName = "Adam", familyName = "Zammit",
      email = "adam.zammit@acspri.org.au", 
      affiliation = list("@type" = "Organization",
        name = "Australian Consortium for Social and Political Research Incorporated (ACSPRI)"))
metadata(codebook_data)$citation <- "ACSPRI (2021). AuSSA 2014 Codebook."
metadata(codebook_data)$url <- "https://www.acspri.org.au/sites/acspri.org.au/files/aussa2014codebook.html"
metadata(codebook_data)$temporalCoverage <- "2014" 
metadata(codebook_data)$spatialCoverage <- "Australia" 
codebook(codebook_data)

Metadata

Description

Dataset name: Australian Survey of Social Attitudes 2014 - Citizenship

The Australian Survey of Social Attitudes (AuSSA) is Australia’s main source of data for the scientific study of the social attitudes, beliefs and opinions of Australians, how they change over time, and how they compare with other societies. The survey is used to help researchers better understand how Australians think and feel about their lives. It produces important information about the changing views and attitudes of Australians as we move through the 21st century. Similar surveys are run in other countries, so data from the AuSSA also allows us to compare Australia with countries all over the world. The aims of the survey are to discover: the range of Australians’ views on topics that are important to all of us; how these views differ for people in different circumstances; how they have changed over the past quarter century; and how they compare with people in other countries. AuSSA is also the Australian component of the International Social Survey Project (ISSP). The ISSP is a cross-national collaboration on surveys covering important topics. Each year, survey researchers in some 40 countries each do a national survey using the same questions. The ISSP focuses on a special topic each year, repeating that topic from time to time. The topic for 2014 is ‘Citizenship’. This is the second time this has been the topic of the survey, having previously been the theme for surveys in 2004.

Metadata for search engines

name value
@type Person
givenName Adam
familyName Zammit
email
affiliation Organization , Australian Consortium for Social and Political Research Incorporated (ACSPRI)
x
A1A
A1B
A1C
A1D
A1E
A1F
A1G
A1H
A1I
A2
A3
A4
A5A
A5B
A5C
A5D
A5E
A5F
A5G
A5H
A6
A7
A8A
A8B
A8C
A8D
A8E
A9A
A9B
A9C
A9D
A9E
A9F
A9G
A9H
A9I
A10A
A10B
A10C
A10D
A11
A12
A13
A14
A15A
A15B
A16
A17
A18
A19
A201
A202
A203
A21
A22
A23
A24
A25A
A25B
A25C
A26A
A26B
A26C
A26D
B1
B2
B3
B4
B5
C1A
C1B
C1C
C2A
C2B
C2C
C2D
C2E
C2F
C2G
C2H
C2I
C3A
C3B
C3C
C3D
C3E
C3F
C3G
C3H
C3I
C3J
C3K
C3L
C3M
C4
C5
C6A
C6B
C6C
C6D
D1
D2
D5
D6
D7
D8
D12
D13
D14ANZSCO1
D16ANZSIC1
D17
D27
D28
D29
D30
D31
D32
D33
D34
D34SACC1
D35
D35SACC1
D36
D36SACC1
D38
D40
D41
D42
D43
D44
D45
D46
state

Variables

A1A

There are different opinions as to what it takes to be a good citizen.  As far as you are concerned personally on a scale of 1 to 7, where 1 is not at all important and 7 is very important, how important is it: : Always to vote in elections

Distribution

Distribution of values for A1A

Distribution of values for A1A

46 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss
A1A There are different opinions as to what it takes to be a good citizen.  As far as you are concerned personally on a scale of 1 to 7, where 1 is not at all important and 7 is very important, how important is it: : Always to vote in elections numeric 46 0.9679443 1 7 8 6.347732 1.332114 ▁▁▁▂▇ F1.0

Value labels

Response choices
name value
Not at all important 1 1
2 2
3 3
4 4
5 5
6 6
Very important 7 7
Cant choose 8

A1B

There are different opinions as to what it takes to be a good citizen.  As far as you are concerned personally on a scale of 1 to 7, where 1 is not at all important and 7 is very important, how important is it: : Never to try to evade taxes

Distribution

Distribution of values for A1B

Distribution of values for A1B

55 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss
A1B There are different opinions as to what it takes to be a good citizen.  As far as you are concerned personally on a scale of 1 to 7, where 1 is not at all important and 7 is very important, how important is it: : Never to try to evade taxes numeric 55 0.9616725 1 7 8 6.423188 1.104036 ▁▁▂▂▇ F1.0

Value labels

Response choices
name value
Not at all important 1 1
2 2
3 3
4 4
5 5
6 6
Very important 7 7
Cant choose 8

A1C

There are different opinions as to what it takes to be a good citizen.  As far as you are concerned personally on a scale of 1 to 7, where 1 is not at all important and 7 is very important, how important is it: : Always to obey laws and regulations

Distribution