This page contains a summary of the data available in the AuSSA 2022 - Family and Changing Gender Roles.

To make sense of the variable names - please refer to the questionnaire

The complete data set will be avaialble to download shortly from the Australian Data Archive

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("aussa2022-codebook.sav")
codebook_data <- rio::import("aussa2022-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)$name <- "Australian Survey of Social Attitudes 2022- Family and Changing Gender Roles"
metadata(codebook_data)$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 the upcoming 2022 survey is 'Family and Changing Gender Roles'. This is the fifth time this has been the topic of the survey, having previously been the theme for the survey in 1988, 1994, 2002 and 2012."
metadata(codebook_data)$identifier <- ""
metadata(codebook_data)$datePublished <- "2023-05-19"
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 (2023). AuSSA 2022 Codebook."
metadata(codebook_data)$url <- "https://www.acspri.org.au/sites/acspri.org.au/files/aussa2022codebook.html"
metadata(codebook_data)$temporalCoverage <- "2022" 
metadata(codebook_data)$spatialCoverage <- "Australia" 
codebook(codebook_data)

Metadata

Description

Dataset name: Australian Survey of Social Attitudes 2022- Family and Changing Gender Roles

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 the upcoming 2022 survey is ‘Family and Changing Gender Roles’. This is the fifth time this has been the topic of the survey, having previously been the theme for the survey in 1988, 1994, 2002 and 2012.

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_A
A1_B
A1_C
A1_D
A1_E
A1_F
A2
A3
A4_A
A4_B
A5_A
A5_B
A5_C
A5_D
A6_A
A6_B
A6_C
A6_D
A7
A8_A
A8_B
A8_C
A8_D
A8_E
A8_F
A9
A9other
A10
A11
A12
A13
A14
A15
A16
A17
A18
A19
A20
A21
A22_A
A22_B
A22_C
A22_D
A22_E
A22_F
A23
A24_A
A24_B
A24_C
A24_D
A25
A26
A27
A28
A29
A30
A31
A32_A
A32_B
A32_C
A33
A34
A35_A
A35_B
A35_C
A35_D
A35_E
A36
A37_A
A37_B
A41
A41other
A42
B1
B2
B3
B4
B5_A
B6
B7
B8
B9
B10
B11
C1
J1
J2
J3
J5
J7
J9
J10_A
J10_B
J18ANZSCO1
J20ANZSIC1
J21
J22
J23
J24
J25
J33
J34
J35
J36
J37
J38
J39
J40
J41SACC1
J42SACC1
J43SACC1
J45
J51
J52
J53
J54
J55
J56
J57
J58
J59
J60
J63

#Variables

A1_A

To begin, we have some questions about women. To what extent do you agree or disagree? : A working mother can establish just as warm and secure a relationship with her children as a mother who does not work.

Distribution

Distribution of values for A1_A

Distribution of values for A1_A

28 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss
A1_A To begin, we have some questions about women. To what extent do you agree or disagree? : A working mother can establish just as warm and secure a relationship with her children as a mother who does not work. numeric 28 0.969697 1 2 8 2.073661 1.202947 ▇▁▂▁▁ F1.0

Value labels

Response choices
name value
Strongly agree 1
Agree 2
Neither agree nor disagree 3
Disagree 4
Strongly disagree 5
Cant choose 8

A1_B

To begin, we have some questions about women. To what extent do you agree or disagree? : A pre-school child is likely to suffer if his or her mother works.

Distribution

Distribution of values for A1_B

Distribution of values for A1_B

29 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss
A1_B To begin, we have some questions about women. To what extent do you agree or disagree? : A pre-school child is likely to suffer if his or her mother works. numeric 29 0.9686147 1 4 8 3.651397 1.221194 ▃▂▇▁▁ F1.0

Value labels

Response choices
name value
Strongly agree 1
Agree 2
Neither agree nor disagree 3
Disagree 4
Strongly disagree 5
Cant choose 8

A1_C

To begin, we have some questions about women. To what extent do you agree or disagree? : All in all, family life suffers when the woman has a full-time job.

Distribution

Distribution of values for A1_C

Distribution of values for A1_C

32 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss
A1_C To begin, we have some questions about women. To what extent do you agree or disagree? : All in all, family life suffers when the woman has a full-time job. numeric 32 0.965368 1 4 8 3.680493 1.288793 ▃▂▇▁▁ F1.0

Value labels

Response choices
name value
Strongly agree 1
Agree 2
Neither agree nor disagree 3
Disagree 4
Strongly disagree 5
Cant choose 8

A1_D

To begin, we have some questions about women. To what extent do you agree or disagree? : A job is all right, but what most women really want is a home and children.

Distribution