South African Social Attitudes Survey (SASAS) 2012: Questionnaire 3 - All provinces


Description: Topics covered in the questionnaire are: family and changing gender roles (ISSP module); perception of poverty and inequality; necessities for children; family cohesion; community perception and involvement; views of marriage and relationships; views on children and parenting; respondent relationship with partner; voting and party preference; respondent characteristics, household characteristics.

The data set for dissemination contains 2547 cases and 535 variables.

Subsequent to the dissemination of version 1 of this data set an embargo was imposed on the data. Incorrect codes for Q16, Q62, Q154d, Q155c, Q261, Q266a, Q266c, Q266d were edited and 7 redundant variables were deleted from the data file. A new data set is disseminated as version 2.

Subsequent to the dissemination of version 2 of this data set it was discovered that an error had occurred during the merging of the weighting variable into the data file. The weight variable as well as province and geographic location (geotype) were updated with the correct information. The "Dignity, poverty and social grants" module from questionnaire three were deleted from the data set owing to owner's permission. A new data set is disseminated as version 3. Abstract: The primary objective of the South African Social Attitudes Survey (SASAS) is to design, develop and implement a conceptually and methodologically robust study of changing social attitudes and values in South Africa. In meeting this objective, the HSRC is carefully and consistently monitoring and providing insight into changes in attitudes among various socio-demographic groupings. SASAS is intended to provide a unique long-term account of the social fabric of modern South Africa, and of how its changing political and institutional structures interact over time with changing social attitudes and values.

The survey is conducted annually and the 2012 survey is the tenth wave in the series.

The core module will remain constant for subsequent annual SASAS surveys with the aim of monitoring change and continuity in a variety of socio-economic and socio-political variables. In addition, a number of themes will be accommodated in rotation. The rotating element of the survey consists of two or more topic-specific modules in each round of interviewing and is directed at measuring a range of policy and academic concerns and issues that require more detailed examination at a specific point in time than the multi-topic core module would permit.

National Population: Adults (aged 16 and older)

SASAS has been designed to yield a representative sample of 3500 adult South African citizens aged 16 and older (with no upper age limit), in households geographically spread across the country's nine provinces. The sampling frame used for the survey was based on the 2011 census and a set of small area layers (SALs). Estimates of the population numbers for various categories of the census variables were obtained per SAL. In this sampling frame special institutions (such as hospitals, military camps, old age homes, schools and university hostels), recreational areas, industrial areas and vacant SALs were excluded prior to the drawing of the sample.

Small area layers (SALs) were used as primary sampling units and the estimated number of dwelling units (taken as visiting points) in the SALs as secondary sampling units. In the first sampling stage the primary sampling units (SALs) were drawn with probability proportional to size, using the estimated number of dwelling units in an SAL as measure of size. The dwelling units as secondary sampling units were defined as "separate (non-vacant) residential stands, addresses, structures, flats, homesteads, etc." In the second sampling stage a predetermined number of individual dwelling units (or visiting points) were drawn with equal probability in each of the drawn dwelling units. Finally, in the third sampling stage a person was drawn with equal probability from all 16 year and older persons in the drawn dwelling units.

Three explicit stratification variables were used, namely province, geographic type and majority population group. As stated earlier, within each stratum, the allocated number of primary sampling units (which could differ between different strata) was drawn using proportional to size probability sampling with the estimated number of dwelling units in the primary sampling units as measure of size. In each of these drawn primary sampling units, seven dwelling units were drawn. This resulted in a sample of 3500 individuals.

A list of the 500 drawn SALs were given to geographic information specialists (GIS) and maps were then created for each of the 500 areas, indicating certain navigational beacons such as schools, roads churches etc.

Selection of individuals: For each of the SASAS samples interviewers visited each visiting point drawn in the SALs (PSU) and listed all eligible persons for inclusion in the sample, that is all persons currently aged 16 years or older and resident at the selected visiting point. The interviewer then selected one respondent using a random selection procedure based on a Kish grid.

Face-to-face interview

Metadata Access
Creator Struwig, Jare; Roberts, Benjamin; Centre for the Analysis of South African Social Policy, Human Sciences Research Council
Publisher HSRC - Human Science Research Council SA
Contributor Centre for the Analysis of South African Social Policy; Human Sciences Research Council; Department of Science and Technology; Economic and Social Research Council
Publication Year 2016
Rights Other; By accessing the data, you give assurance that The data and documentation will not be duplicated, redistributed or sold without prior approval from the rights holder. The data will be used for scientific research or educational purposes only. The data will only be used for the specified purpose. If it is used for another purpose the additional purpose will be registered. Redundant data files will be destroyed. The confidentiality of individuals/organisations in the data will be preserved at all times. No attempt will be made to obtain or derive information from the data to identify individuals/organisations. The HSRC will be acknowledged in all published and unpublished works based on the data according to the provided citation. The HSRC will be informed of any books, articles, conference papers, theses, dissertations, reports or other publications resulting from work based in whole or in part on the data and documentation. For archiving and bibliographic purposes an electronic copy of all reports and publications based on the requested data will be sent to the HSRC. To offer for deposit into the HSRC Data Collection any new data sets which have been derived from or which have been created by the combination of the data supplied with other data. The data team bears no responsibility for use of the data or for interpretations or inferences based upon such uses. Failure to comply with the End User License may result in sanctions being imposed.; Download
OpenAccess true
Contact HSRC - Human Science Research Council SA
Resource Type Dataset
Discipline Social Sciences