Office for Statistics Regulation

Questions from the Office for Statistics Regulation:

1-11 of 11 results
Cross-cutting interests Statistics representing society: How well or poorly do statistics represent society, and what are the impacts of this on how they are used and valued? Office for Statistics Regulation, 2023
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Cross-cutting interests Communicating statistics: How does the communication of statistics influence their use and how they are valued? What factors ought to be considered in the communication of statistics, for example the audience, uncertainty around the estimates? Office for Statistics Regulation, 2023
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Cross-cutting interests Wider evidence landscape: How are statistics valued and used in the wider evidence landscape, such as in comparison to privately produced statistics, anecdotal evidence or management information, and what influences this? What sets official statistics apart within the wider evidence landscape, how well is this understood, and how does this influence confidence in them, their use and how they are valued? Office for Statistics Regulation, 2023
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Cross-cutting interests Changing world: How have evolutions in our statistical system (such as the greater focus on administrative sources for statistics) influenced how statistics are produced, used, and valued? How may advances in wider society (such as the increasing sophistication of large language models) influence how statistics are produced, used, and valued? Office for Statistics Regulation, 2023
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Cross-cutting interests Interactions: How does the way that statistics are produced influence the value that users get from them, and how can this be addressed to maximise value? To what degree to statistics need to be directly used for them to provide value (or do people value outcomes from others using them instead)? Office for Statistics Regulation, 2023
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Valued: Develop a better understanding of the public good of statistics Statistics that serve the public good: What does it mean for statistics to serve the public good, and how might this be measured and communicated? What is unique about the way in which official statistics serve the public good compared to other sources of information? How can views from ‘the public’ be brought into this conversation, respecting that there is no single homogenous group and there will be many varied perspectives? Office for Statistics Regulation, 2023
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Used: Protect the role of statistics in public debate Misuse of statistics: What makes a statistic or data vulnerable to misuse, in what contexts is this more likely (including who is most susceptible to this and why), and how is this best addressed? What are the impacts when statistics or data are misused, how does misinformation propagate? How can public confidence in statistics or data be maintained in the face of misuse? Office for Statistics Regulation, 2023
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Used: Protect the role of statistics in public debate Use of statistics: Who is using official statistics, where do they find them, how are they being used, and what influences this? What do people look for in statistics or data being used as evidence to have confidence in using them, and how can we build this confidence? Office for Statistics Regulation, 2023
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Produced: Uphold the trustworthiness, quality and value of statistics and data used as evidence Value: Building on the work of others, how should we understand and measure the value of statistics and data used as evidence, and what influences this? Office for Statistics Regulation, 2023
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Produced: Uphold the trustworthiness, quality and value of statistics and data used as evidence Quality: How does the quality of statistics and communication of this quality influence public confidence in the statistics? How should the quality of statistics be conceived, measured, and communicated to support users in selecting statistics that are most appropriate for their needs? Office for Statistics Regulation, 2023
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Produced: Uphold the trustworthiness, quality and value of statistics and data used as evidence Trustworthiness: What influences perceived trustworthiness of statistics or data being used as evidence, and how can those across the statistical system increase it? To what degree do people trust official statistics or other data used as evidence, and how much do perceptions of trustworthiness influence this? Office for Statistics Regulation, 2023
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