This page contains a summary of the data available in the AuSSA 2018 - Religion.

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("aussa2018codebook.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)$name <- "Australian Survey of Social Attitudes 2018 - Religion"
metadata(codebook_data)$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 2018 is Religion. This is the fourth time this has been the topic of the survey, having previously been the theme for the survey in 1991, 1998 and 2008."
metadata(codebook_data)$identifier <- "doi:10.26193/IWGB1F"
metadata(codebook_data)$datePublished <- "2020-10-09"
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 2018 Codebook."
metadata(codebook_data)$url <- "https://www.acspri.org.au/sites/acspri.org.au/files/aussa2018codebook.html"
metadata(codebook_data)$temporalCoverage <- "2018" 
metadata(codebook_data)$spatialCoverage <- "Australia" 
codebook(codebook_data)

Metadata

Description

Dataset name: Australian Survey of Social Attitudes 2018 - Religion

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 2018 is Religion. This is the fourth time this has been the topic of the survey, having previously been the theme for the survey in 1991, 1998 and 2008.

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
A1
A2
A3
A4
A5
A6
A7A
A7B
A7C
A7D
A7E
A8
A9A
A9B
A9C
A10
A11
A12A
A12B
A13
A14
A15A
A15B
A15C
A15D
A15E
A16A
A16B
A16C
A16D
A16E
A16F
A17
A18
A19
A20
A21
A22
A23
A24
A25
A26
A27
A28
A29
A30
A31A
A31B
A32
A33A
A33B
A34
A35
A36A
A36B
A36C
A36D
A36E
A36F
A37
B1A
B1B
B1C
B1D
B1E
B1F
B1G
B1H
B1I
B1J
C1A
C1B
C1C
C1D
C1E
C1F
C2
C3
C4
D1
D2
D3
D4
D5
D6A
D6B
D6C
E1A
E1B
E1C
E1D
E2A
E2B
E2C
E2D
E2E
E2F
E3A
E3B
E3C
E3D
E3E
F1
F2
F5
F6
F7
F13ANZSCO1
F15ANZSIC1
F16
F17
F25
F26
F27
F28
F29
F30
F31
F32
F33
F33SACC1
F34
F34SACC1
F35
F35SACC1
F37
F39
F40
F41
F42
F43
F44
F45
F46
F47

Variables

A1

If you were to consider your life in general these days, how happy or unhappy would you say you are, on the whole… :

Distribution

Distribution of values for A1

Distribution of values for A1

27 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss
A1 If you were to consider your life in general these days, how happy or unhappy would you say you are, on the whole… : numeric 27 0.979021 1 2 5 1.794444 0.7582017 ▅▇▁▁▁ F1.0

Value labels

Response choices
name value
Very happy 1
Fairly happy 2
Not very happy 3
Not at all happy 4
Cant choose 5

A2

All things considered, how satisfied are you with your relationships with family members? :

Distribution

Distribution of values for A2

Distribution of values for A2

25 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss
A2 All things considered, how satisfied are you with your relationships with family members? : numeric 25 0.980575 1 2 8 2.320919 1.173669 ▇▃▁▁▁ F1.0

Value labels

Response choices
name value
Completely satisfied 1
Very satisfied 2
Fairly satisfied 3
Neither satisfied nor dissatisfied 4
Fairly dissatisfied 5
Very dissatisfied 6
Completely dissatisfied 7
Can�t choose 8

A3

Do you think it is wrong or not wrong if a married person has sexual relations with someone other than his or her husband or wife, is it… :

Distribution

Distribution of values for A3

Distribution of values for A3

28 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss
A3 Do you think it is wrong or not wrong if a married person has sexual relations with someone other than his or her husband or wife, is it… : numeric 28 0.978244 1 1 5 1.622716 0.9651274 ▇▃▁▁▁ F1.0

Value labels

Response choices
name value
Always wrong 1
Almost always wrong 2
Wrong only sometimes 3
Not wrong at all 4
Cant choose 5

A4

And what about sexual relations between two adults of the same sex, is it… :

Distribution