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)
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
Temporal Coverage: 2022
Spatial Coverage: Australia
Citation: ACSPRI (2023). AuSSA 2022 Codebook.
URL: https://www.acspri.org.au/sites/acspri.org.au/files/aussa2022codebook.html
Identifier:
Date published: 2023-05-19
Creator:
name | value |
---|---|
@type | Person |
givenName | Adam |
familyName | Zammit |
adam.zammit@acspri.org.au | |
affiliation | Organization , Australian Consortium for Social and Political Research Incorporated (ACSPRI) |
|
#Variables
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 of values for A1_A
28 missing values.
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 |
name | value |
---|---|
Strongly agree | 1 |
Agree | 2 |
Neither agree nor disagree | 3 |
Disagree | 4 |
Strongly disagree | 5 |
Cant choose | 8 |
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 of values for A1_B
29 missing values.
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 |
name | value |
---|---|
Strongly agree | 1 |
Agree | 2 |
Neither agree nor disagree | 3 |
Disagree | 4 |
Strongly disagree | 5 |
Cant choose | 8 |
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 of values for A1_C
32 missing values.
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 |
name | value |
---|---|
Strongly agree | 1 |
Agree | 2 |
Neither agree nor disagree | 3 |
Disagree | 4 |
Strongly disagree | 5 |
Cant choose | 8 |
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.