Statistical Frameworks
Statistical frameworks explain how statistics are produced from start to finish, from collecting data through to publishing results. They help ensure that statistics are consistent, high quality and comparable over time and across different areas of work.
They cover:
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Clear and consistent definitions of what is being measured
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Common standards and classifications
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Governance, ethical standards and protection of confidential information
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Processes to manage and assure quality
Statistical Methodologies
Statistical methodologies describe the methods used to collect, process, analyse and publish data.
These include:
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How surveys are designed and samples are selected
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How administrative and census data are used
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How data are checked, adjusted and estimated
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How indicators and trends are produced
All methods are documented so users can understand how the statistics have been produced and how they should be used.
Statistical Guidelines
Statistical guidelines set out best practice for producing and communicating statistics responsibly. They focus on:
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Accuracy, relevance and timeliness
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Keeping personal and sensitive information secure
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Explaining assumptions, methods and limitations clearly
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Making statistics accessible to a wide range of users
Quality and Transparency
Quality checks are built into every stage of the statistical process. This includes regular review, validation and ongoing improvement. Information about methods is published openly to support transparency and maintain public confidence in the statistics.
