South African Election Satisfaction Survey (ESS) 2016: All provinces

DOI

Description: Topics covered in the questionnaire are: the distance traveled to the voting station, means of transport utilised, time spent in the voting queue, perception of IEC officials' competence, and perception of the freeness and fairness of the election.

In terms of the number of voting stations, a 100% realisation rate was achieved. All 300 selected voting stations were therefore visited on Election Day. The number of voters interviewed was 13,584 from the expected 15,000 which represented 90% response rate.

The data set for dissemination contains 80 variables and 13 584 cases Abstract: The objective of the 2016 Election Satisfaction Survey (ESS) was to determine opinions and perceptions of voters on Election Day. The main intention of the survey was to determine if elections were free and fair. A further aim of the study was to assess the operational efficiency of the Electoral Commission in managing the 2016 municipal elections.

Three hundred voting stations throughout South Africa were selected using complex sample design. Around 50 randomly selected voters were interviewed at each of the 300 voting stations. The prime target population was therefore individuals aged 18+ who reside in South Africa and who were registered to vote in the 2016 Municipal Elections and voted. As voters exited these voting stations they were interviewed. The study method comprised a brief (5-minute) face-to-face interview. Since the Electoral Commission was keen to release the survey results together with the official election results (which took place 3 days after the election) the HSRC deemed electronic data collection as most appropriate for this project.

The HSRC together with the IEC developed the voter questionnaire. Questions included the distance traveled to the voting station, means of transport utilised, time spent in the voting queue, perception of IEC officials' competence, and perception of the freeness and fairness of the election.

Face-to-face interview

National Population: Adult (aged 18 years and older who were registered to vote in the 2016 municipal elections).

The database of voting stations obtained from the Electoral Commission (IEC) was merged with that of Population Census. A complex sample design was used in drawing the sample of voting stations from merged frame. The design included stratification and a multi-stage sampling procedure. The sampling of the voting station was done proportionally to the dominant race type, geo-type and the number of voting stations in a given province. This was to ensure that a nationally representative sample of voting stations was selected and the results of the survey could be properly weighted to the population of eligible voters in the country. At the actual voting stations, fieldworkers used random sampling to select voters to ensure a fair representation in terms of gender, race, age, and disability status.

In the cases of Gauteng and KwaZulu-Natal, the numbers of voting stations were sampled below proportion - given that almost half of the South African registered voters are based in these provinces. Conversely, the number of voting stations in the Northern Cape was over-sampled in order to generate sufficient interviews in that province to facilitate meaningful analysis.

The distribution of sampled voting stations per province and the number of expected voters interviewed are provided in table below

At each voting station, the interviewer was instructed to interview 50 voters during the course of the day. Interviews were divided into four time slots: 07:00 - 10:30; 10:31 - 14:00; 14:01 - 17:30 and the remainder between 17:31 and closing time (21:00). This was done to ensure a spread of interviews throughout Election Day, since it was imagined that different dynamics might be at play depending on the time of day.

Province

Voting Station Sampled

Expected sample

Western Cape

31

1,550

Eastern Cape

47

2,350

Northern Cape

20

1,000

Free State

26

1,300

KwaZulu-Natal

49

2,450

North West

28

1,400

Gauteng

39

1,950

Mpumalanga

24

1,200

Limpopo

36

1,800

Total

300

15,000

Identifier
DOI https://doi.org/10.14749/1506505657
Metadata Access https://api.datacite.org/dois/10.14749/1506505657
Provenance
Creator Roberts, Benjamin; Struwig, Jare; Human Sciences Research Council
Publisher HSRC - Human Science Research Council SA
Contributor Human Sciences Research Council
Publication Year 2018
Funding Reference Electoral Commission of South Africa
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 and the IEC will be acknowledged in all published and unpublished works based on the data according to the provided citation. The HSRC and the IEC 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 and the IEC. To offer for deposit into the HSRC Data Collection and the IEC 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.
OpenAccess true
Representation
Resource Type Dataset
Version 1.0
Discipline Social Sciences
Spatial Coverage South Africa