Australian Election Study, 2016 - Australian Election Study

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Australian Election Study, 2016

McAllister, Ian; Makkai, Toni; Bean, Clive; Gibson, Rachel Kay, 2017, "Australian Election Study, 2016", doi:10.4225/87/7OZCZA, ADA Dataverse, V2, UNF:6:TNnUHDn0ZNSlIM94TQphWw==

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Description

The 2016 Australian Election Study is the eleventh in a series of surveys. It replicates many questions from the previous Australian Election Studies, but also introduces new questions regarding a range of topical social issues (e.g. lowering the voting age, the NDIS and disability). Other sections cover the respondent's interest in the election campaign and politics, their past and present political affiliation, evaluation of parties and candidates, alignment with parties on various election issues, evaluation of the current economic situation, and attitudes to a range of election issues including global warming, taxation, education, unemployment, health and Medicare, refugees and asylum seekers, and population policy. Opinions on social policy issues including abortion, equal opportunities, same sex marriages, and Australia's security were also covered in the 2016 Australian Election Study. Background variables include level of education, employment status, occupation, type of employer, position at workplace, trade union membership, sex, age, own and parents' country of birth, parents' political preferences, religion, marital status, income, and where applicable, the occupation, trade union membership and political preference of the respondent's partner. The 2016 Australian Election Study is the first in the AES series to include a dual-frame sample approach using Australian Electoral Commission (AEC) electoral roll data and an address-based sample frame. Prior to 2016, the sample frame consisted only of AEC enrolled voters. The introduction of the geo-coded national address file (G-NAF) frame allows for the inclusion of Australian residents who were eligible but not enrolled to vote prior to the election and aimed to increase the representation of young Australians. Each frame represented approximately one half of completed questionnaires (50.3% to AEC and 49.6% to G-NAF). 1,200 of the 2,818 responses (43.3%) were completed online, an increase from 15% in 2013 when the hard copy questionnaire and invitation to online were sent concurrently.

Subject

Social Sciences

Keyword

Attitudes, Defence, Economic policy, Elections, Environment, Ethnic groups, Immigration, International relations, Internet, Political parties, Politicians, Politics, Republicanism, Security, Shares, Social policy, Taxation

Dataset Version: 2.1

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10 Files

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		1. 2016 Australian Election Study Online Questionnaire (FINAL).pdf Adobe PDF - 580.4 KB - Sep 22, 2017 - 781 Downloads MD5: fdfa089508a06e365c6e8f087b3f1a6c Online version of the questionnaire QuestionnaireDocumentation	Download
		1. AUSTRALIAN ELECTION STUDY 2016.pdf Adobe PDF - 697.8 KB - Sep 22, 2017 - 668 Downloads MD5: f028c425654d5e17f7276690df96686f AES Survey 2016 AEC V2 version of the questionnaire DocumentationQuestionnaire	Download
		1. AUSTRALIAN ELECTION STUDY 2016.pdf Adobe PDF - 568.9 KB - Sep 22, 2017 - 242 Downloads MD5: 069d03a94c3241b7d0432119a9144e8d AES Survey 2016 GNAF V5 version of the questionnaire DocumentationQuestionnaire	Download
		1. Australian Election Study December 2016 Technical Report.pdf Adobe PDF - 2.7 MB - Sep 22, 2017 - 642 Downloads MD5: d6dd7492dbc0628d4b7689de83236c33 Technical Report (prepared by the Data Collector) ReportDocumentation	Download
		1. Australian Election Study, 2016 - Codebook.pdf Adobe PDF - 2.5 MB - Oct 27, 2017 - 623 Downloads MD5: f66bbc18908dea6787128ce5bcbede85 Codebook including metadata and descriptive statistics CodebookDocumentation	Download
		1. Australian Election Study, 2016 - Codebook.tab Tabular Data - 216.0 KB - Sep 22, 2017 - 280 Downloads 9 Variables, 3898 Observations - UNF:6:9/h8ox3qm+15CGxKpbbNHg== Data Dictionary listing variables and variable values CodebookDocumentation	Original File Format (MS Excel (XLSX)) Tab-Delimited RData Format Variable Metadata Data Subset Data File Citation RIS EndNote XML BibTeX
		2. Australian Election Study, 2016.sas application/x-sas-syntax - 195.5 KB - Sep 22, 2017 - 272 Downloads MD5: 2248874e2f3183637c05c58d2aec57b9 SAS formats (.sas) DataSAS	Download
		2. Australian Election Study, 2016.sas7bdat SAS System - 14.7 MB - Sep 22, 2017 - 201 Downloads MD5: 4cfa0ab0a606f89617e289de9ba79d14 SAS data file (.sas7bdat) DataSAS	Download
		2. Australian Election Study, 2016.tab Tabular Data - 2.4 MB - Sep 22, 2017 - 514 Downloads 322 Variables, 2818 Observations - UNF:6:+YPyjEWpMY6aS/bfw7dpUA== Original Data Format: Stata (.dta) StataData	Original File Format (Stata Binary) Tab-Delimited RData Format Variable Metadata Data Subset Data File Citation RIS EndNote XML BibTeX
		2. Australian Election Study, 2016.tab Tabular Data - 2.4 MB - Sep 22, 2017 - 619 Downloads 322 Variables, 2818 Observations - UNF:6:21MkZbQT9rh9tWi6hMZdXw== Original Data Format: SPSS (.sav) SPSSData	Original File Format (SPSS SAV) Tab-Delimited RData Format Variable Metadata Data Subset Data File Citation RIS EndNote XML BibTeX

Citation Metadata

Dataset Persistent ID

doi:10.4225/87/7OZCZA

Publication Date

2017-09-22

Title

Australian Election Study, 2016

Alternative URL

http://www.australianelectionstudy.org/voter_studies.html

Other ID

Australian Data Archive: 01365

Author

McAllister, Ian (Australian National University)
Makkai, Toni (Australian National University) - ORCID: 0000-0003-2446-5737
Bean, Clive (Queensland University of Technology) - ORCID: 0000-0002-9413-272X
Gibson, Rachel Kay (University of Manchester) - ORCID: 0000-0002-4573-613X

Contact

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Australian Data Archive (Australian National University)

Description

Subject

Social Sciences

Keyword

Attitudes (APAIS) http://www.nla.gov.au/apais/thesaurus/
Defence (APAIS) http://www.nla.gov.au/apais/thesaurus/
Economic policy (APAIS) http://www.nla.gov.au/apais/thesaurus/
Elections (APAIS) http://www.nla.gov.au/apais/thesaurus/
Environment (APAIS) http://www.nla.gov.au/apais/thesaurus/
Ethnic groups (APAIS) http://www.nla.gov.au/apais/thesaurus/
Immigration (APAIS) http://www.nla.gov.au/apais/thesaurus/
International relations (APAIS) http://www.nla.gov.au/apais/thesaurus/
Internet (APAIS) http://www.nla.gov.au/apais/thesaurus/
Political parties (APAIS) http://www.nla.gov.au/apais/thesaurus/
Politicians (APAIS) http://www.nla.gov.au/apais/thesaurus/
Politics (APAIS) http://www.nla.gov.au/apais/thesaurus/
Republicanism (APAIS) http://www.nla.gov.au/apais/thesaurus/
Security (APAIS) http://www.nla.gov.au/apais/thesaurus/
Shares (APAIS) http://www.nla.gov.au/apais/thesaurus/
Social policy (APAIS) http://www.nla.gov.au/apais/thesaurus/
Taxation (APAIS) http://www.nla.gov.au/apais/thesaurus/

Topic Classification

Australian Studies
Social Science
Politics and Elections
Australian Election Study

Language

English

Producer

McAllister, Ian (Australian National University) (ANU) http://www.anu.edu.au/

Production Place

Canberra, Australia

Contributor

Data Collector : The Social Research Centre

Grant Information

Australian Research Council: DP160101501

Distributor

Australian Data Archive (Australian National University) (ADA) http://www.ada.edu.au/

Distribution Date

2016-12-20

Depositor

McAllister, Ian

Deposit Date

2016-11-29

Time Period Covered

Start: 2016-06-30 ; End: 2016-11-06

Date of Collection

Start: 2016-06-30 ; End: 2016-11-06

Kind of Data

Survey data

Series

Australian Election Study: The Australian Election Studies (AES) have been running as a series of surveys beginning in 1987 that have been timed to coincide with Australian Federal elections. The series also builds on the Australian National Political Attitudes Surveys run in 1967, 1969 and 1979. The Australian Election Study survey is funded by the Australian Research Council and has been directed by Professor Ian McAllister, Dr Juliet Pietsch (both from the Australian National University), Professor Clive Bean (Queensland University of Technology) and Professor Rachel Gibson (University of Manchester).
The AES aim to provide a long-term perspective on stability and change in the political attitudes and behaviour of the Australian electorate, and investigate the changing social bases of Australian politics as the economy and society modernise and change character. In addition to these long-term goals they examine the political issues prevalent in the election and assess their importance for the election result.

Software

SPSS, Version: 24.0
Stata, Version: 12.0
SAS, Version: 9.4

Related Datasets

Australian Election Studies

Social Science and Humanities Metadata

Unit of Analysis

Individual

Universe

Australian adults aged 18 years or over eligible to vote in Australian elections

Time Method

Repeated cross-sectional study

Data Collector

The Social Research Centre (SRC)

Frequency

Every three years

Sampling Procedure

Multi-stage stratified random sample.
The first sample frame for the voters’ survey was sourced from the Australian Electoral Roll provided by the Australian Electoral Commission (AEC). The sample was provided by the AEC for a one time use only for the purpose of conducting this survey. A stratified random sampling procedure was used to draw the AEC Voters sample. The sample was stratified by state in proportion to AEC enrolled voter counts (18 years and over).
The second sampling frame used was the Geocoded National Address File (G-NAF). G-NAF is maintained by the Public Sector Mapping Authority and is the authoritative national address index for Australia. The sample was selected from the G-NAF database using a stratified sample design in accordance with the distribution of the Australian residential population aged 18 years and over across 15 geographic strata.

Collection Mode

Web-based self-completion, Postal survey

Type of Research Instrument

Structured

Actions to Minimize Losses

One week after the initial letter mailing (30th June 2016) with an invitation to complete online, a reminder / thank you card was sent to all respondents (7th July). Two weeks later (21st July), a questionnaire booklet was mailed to all respondents, excluding those that had completed online or opted out of the survey (n=11,791). A final scheduled reminder letter was sent to all non-respondents (n=10,126) on the 11th August, two weeks prior to the prize draw close date (25th August). Due to declining response rates, additional reminder activities were planned. The optimal approach to reminder activities was selected for each sample type (AEC and G-NAF) to maximise response. For the G-NAF sample, telephone follow-up / reminder calls were carried out with matched sample (n=2,321) between 1st Sept and 14th Sept. This was followed by final reminder letter to all remaining C-NAF non-respondents on 30th November (n=4,581). For the AEC sample, an additional questionnaire mail out was conducted on 5th October to non-respondents (n=3,501). A survey helpline, including an 1800 number and email address was printed on all survey materials to give sample members the opportunity to seek clarification or ask for assistance regarding any survey matters. This included, but was not limited to, helping establishing survey bona fides, encouraging response and recording opt-outs to the survey.

Weighting

Three separate weights were applied to the data to account for the dual-frame sampling approach:
1.) A combined weight. The AEC sample and the G-NAF sample (excluding 107 non-enrolled persons) weighted to AEC parameters (sex, age and state, based on AEC enrolment data for the 2016 election, and party vote based on AEC final election vote tallies).
2.) An AEC weight. The AEC file weighted to AEC parameters (sex, age and state, based on AEC enrolment data for the 2016 election, and party vote based on AEC final election vote tallies), with the G-NAF weight set to zero.
3.) A G-NAF weight. The G-NAF sample weighted to population parameters (sex, age and state) with the AEC weight set to zero.

Cleaning Operations

The data were checked by the archive for missing variable and value labels, out of range values and wild codes, logical inconsistencies, and confidentiality.

Response Rate

Of a total mailing of 12,497, there were 2,818 completed returns - with 1,598 mail returns and 1,220 online returns - giving a raw response rate of 28.4% for the AEC sample and 18.6% for the G-NAF sample. Adjusted response rates were calculated by removing the “Out of Scope” sample (deceased, incapable, return to sender, not an Australian citizen; AEC n=254 and G-NAF n=1,012). The adjusted response rate for the AEC sample was 29.9% and for G-NAF was 21.6%.

Notes

Geographic Unit: State

Terms and Conditions of Use

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Terms and Conditions of Use

Conditions of Use
I acknowledge that:

1. Use of the material is restricted to use for analytical purposes and that this means that I can only use the material to produce information of an analytical nature.

Examples of such uses are: (a) the manipulation of data to produce means, correlations or other descriptive summary measures; (b) the estimation of population characteristics from sample data; (c) the use of data as input to mathematical models and for other types of analyses (e.g. factor analysis); and (d) to provide graphical and pictorial representation of characteristics of the population or sub-sets of the population.

2. The material is not to be used for any non-analytical purposes, or for commercial or financial gain, without the express written permission of the Australian Data Archive.
Examples of non-analytical purposes are: (a) transmitting or allowing access to the data in part or whole to any other person / Department / Organisation not a party to this undertaking; and (b) attempting to match unit record data in whole or in part with any other information for the purposes of attempting to identify individuals.

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4. Use of the material is solely at my risk and I indemnify the Australian Data Archive and its host institution, The Australian National University.

5. The Australian Data Archive and its host institution, The Australian National University, shall not be held liable for any breach of this undertaking.

6. The Australian Data Archive and its host institution, The Australian National University, shall not be held responsible for the accuracy and completeness of the material supplied.

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All manuscripts based in whole or in part on these data should: (i) identify the data and original investigators by using the recommended bibliographic reference to the data file; (ii) acknowledge the Australian Data Archive and, where the data are made available through the Australian Data Archive by another archive, acknowledge that archive; (iii) declare that those who carried out the original analysis and collection of the data bear no responsibility for the further analysis or interpretation of them.

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In order to assemble essential information about archival resources and to facilitate the exchange of information about users’ research activities, individuals are required to email ADA (ada@anu.edu.au) with the bibliographic details and, where available, online links to any published work (including journal articles, books or book chapters, conference presentations, theses or any other publications or outputs) based wholly or in part on the material.

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