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Surveys

The purpose of a survey is to collect information from an identified target population. A survey may seek to collect information from a subset of this population (a sample survey), or the entire population (a census). The Office of Economic and Statistical Research (OESR) can provide a complete, integrated survey solution, from conception through to final reporting.

Survey process diagram showing progression from conceptualising, planning and designing survey to collecting data to processing and analysing data to reporting and disseminating data, with client input/feedback at all stages

Conception

A survey is a means to an end. That end is to supply specific information about a target population. In conceiving a survey project, OESR consults with clients about their information needs, timelines and budgetary constraints, encouraging them to explore a range of 'pre-survey' scoping considerations to help them in their deliberations.

Survey design

Specialist staff in OESR can design surveys of varying complexity to suit client information needs, and can determine sample sizes required to deliver a specified accuracy of final estimates. We advise on survey design to help maximise the quantity and quality of information within the constraints of a client's budget (see Survey Methods for more information).

Questionnaire construction

Through careful questionnaire design, measurement error can be minimised and response rates increased. Criteria for good question design depend on the mode of administration.  OESR has considerable experience in formulating and asking survey questions and evaluating the quality of responses. We provide objective advice, both on how a question should be worded and, at a broader level, whether a group of questions will elicit the information required.

Data Collection

OESR has experience and expertise in all forms of data collection modes, including telephone, mail, face-to-face and on-line. OESR has its own, large computer-assisted telephone interviewing (CATI) facility. Close attention to best-practice ensures that we consistently achieve high response rates across all modes.

OESR provides Research and Survey Participation information for people who have been asked to participate in one of its research programs (including statistical surveys).

Analysis

Our methods of data analysis are consistent with the highest industry standards achieved.  OESR survey specialists use sophisticated techniques to control for structural biases and to ensure that sampling errors are accurately estimated. We can also analyse trends in repeated cross-sectional and longitudinal surveys.

Reporting

Reporting is tailored to each client’s needs. We collaborate with clients in the production of  outputs for reporting and advise on the interpretation and presentation of results.

Quality

OESR is certified to Australian Standard AS/NZS ISO 9001:2008 Quality management systems – Requirements. The registration covers the Quality Management System for survey and research services, including the design, development and provision of processes to collect, collate, interpret, analyse and disseminate high-quality primary and secondary statistical information.

OESR is committed to conducting statistical surveys in a timely, confidential and courteous manner, and it employs a dedicated team of experienced statisticians and research interviewers to deliver on this. To ensure the confidentiality of the information provided by survey respondents, the Office of the Government Statistician (which is part of OESR) conducts surveys under the authority of the Statistical Returns Act. This Act prohibits the disclosure of identifiable information relating to an individual without their consent.

Further information

OESR has extensive experience in the design and conduct of statistical surveys and is able to provide specialist consultation and advice. For more information contact statsconsulting@treasury.qld.gov.au, phone (07) 3035 6418 or read about the services in the attached flyer.

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Government Statistician Surveys flyer pdf (520 kB)

If you need help with any of the file types above, please see our help page.

Last reviewed 26 March 2013