This page contains a summary of the data available in the AuSSA 2017 - Social Networks and Social Resources.

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("aussa2017codebook.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)$name <- "Australian Survey of Social Attitudes 2017 - Social Networks and Social Resources"
metadata(codebook_data)$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 2017 is 'Social Networks and Social Resources'. This is the third time this has been the topic of the survey, having previously been the theme for the survey in 1986 and 2001"
metadata(codebook_data)$identifier <- "doi:10.26193/JZKRD8"
metadata(codebook_data)$datePublished <- "2018-09-03"
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 2017 Codebook."
metadata(codebook_data)$url <- "https://www.acspri.org.au/sites/acspri.org.au/files/aussa2017codebook.html"
metadata(codebook_data)$temporalCoverage <- "2017" 
metadata(codebook_data)$spatialCoverage <- "Australia" 
codebook(codebook_data)

Metadata

Description

Dataset name: Australian Survey of Social Attitudes 2017 - Social Networks and Social Resources

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 2017 is ‘Social Networks and Social Resources’. This is the third time this has been the topic of the survey, having previously been the theme for the survey in 1986 and 2001

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
A1J
A2A
A2B
A2C
A2D
A3
A4
A5A
A5B
A5C
A6
A7A
A7B
A7C
A7D
A7E
A8A
A8B
A8C
A8D
A8E
A9A
A9B
A9C
A10
A11
A12A
A12B
A13A
A13B
A13C
A14
A15
A16
A17
A18
A19
A20
A21
A22
A23
A24
A25
A26
A27
A28A
A28B
A29
A30
A31A
A31B
A32A
A32B
A33
A34
B1A
B1B
B1C
B1D
B1E
B1F
B1G
B1H
B1I
B1J
B2
B3
B4A
B4B
B4C
B4D
B4E
B4F
B4G
B4H
C1
C2
C3
C4
C5
C6
C7
C8
D1
E1
E2
E3
E4
E5
E6
E7
E8A
E8B
E8C
E8D
F1
F2A
F2B
F2C
F2D
F3
F4
F5
F6
F7
F8
F9
G1A
G1B
G1C
G1D
G2A
G2B
G2C
G2D
G2E
G3A
G3B
G3C
G3D
G3E
G4A
G4B
G4C
G4D
G4E
G5A
G5B
G5C
G5D
G5E
G6A
G6B
G6C
G6D
G6E
G6F
G6G
H1
H2
H5
H6
H7
H13ANZSCO1
H15ANZSIC1
H16
H17
H27
H28
H29
H30
H31
H32
H33
H34
H35
H35SACC1
H36
H36SACC1
H37
H37SACC1
H39
H40
H41
H43
H44
H45
H46
H47
H48
H49
H50
H51

Variables

A1A

Here is a list of jobs that people you know may have. These people could be family or relatives, close friends or someone else you know. By “knowing” a person, we mean that you know him/her by name and well enough to contact him/her.If you know

Distribution

Distribution of values for A1A

Distribution of values for A1A

156 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss
A1A Here is a list of jobs that people you know may have. These people could be family or relatives, close friends or someone else you know. By “knowing” a person, we mean that you know him/her by name and well enough to contact him/her.If you know numeric 156 0.881549 1 3 5 2.999139 1.125335 ▃▂▅▇▁ F1.0

Value labels

Response choices
name value
Family or relative 1
Close friend 2
Someone else I know 3
No one 4
Can’t choose 5

A1B

Here is a list of jobs that people you know may have. These people could be family or relatives, close friends or someone else you know. By “knowing” a person, we mean that you know him/her by name and well enough to contact him/her.If you know

Distribution

Distribution of values for A1B

Distribution of values for A1B

169 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss
A1B Here is a list of jobs that people you know may have. These people could be family or relatives, close friends or someone else you know. By “knowing” a person, we mean that you know him/her by name and well enough to contact him/her.If you know numeric 169 0.8716781 1 4 5 3.120209 1.102194 ▂▂▃▇▁ F1.0

Value labels

Response choices
name value
Family or relative 1
Close friend 2
Someone else I know 3
No one 4
Can’t choose 5

A1C

Here is a list of jobs that people you know may have. These people could be family or relatives, close friends or someone else you know. By “knowing” a person, we mean that you know him/her by name and well enough to contact him/her.If you know

Distribution