1395.0 - Essential Statistical Assets for Australia, 2014

ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 12/12/2014

Page tools: Print Page Print All
Main Features + Overview of the ESA for Australia Initiative + Quality Assessment Approach + What's Next? + ESA Quality Assessments What the Results Mean Changes to the ESA for Australia List Statistic Assessment Summaries Statistic Assessment Results by Pillar and ESA Dimension Statistic Assessment Results by Quality Dimension + Quality Metrics Appendix 1 - Overview of Statistic Assessment Results Appendix 2 - Revised 2013 ESA List Appendix 3 - List of ESA Data Custodians Appendix 4 - Statistic Assessment Summaries About this Release	STATISTIC ASSESSMENT SUMMARIES The main results for the quality assessments of the essential statistics are contained in the Statistic Assessment Summaries, in Appendix 4. The statistic assessment summaries include descriptions and the traffic light results for the seven dimensions of quality. The summaries list the datasets which contribute to the essential statistic and provide a brief explanation if there were any data gaps identified. The final section outlines key areas for improvement for the statistic, for the purpose of ESA. The areas for improvement section of the summaries show that regardless of the quality assessment outcome, there still was, in most cases, possible improvement identified for the statistic. Generally the top three areas of improvement were selected, but more than three points does not necessarily signify more need for improvement, rather that there was no clear boundary between the top quality indicators with the greatest need for improvement for that statistic. This section is also relative for each statistic where the main areas for improvement within one statistic may not equate to the same magnitude of issue for another statistic. Similar to the quality assessment results, the areas for improvement section does not necessitate any action from data custodians. It is intended as a guide for investment at the statistic level. The ABS, through its statistical leadership role in advancing the NSS, will work collaboratively with relevant stakeholders including data custodians to determine appropriate ways to address the areas for improvement. The assessments have been produced for the purpose of ESA and as quality is a fit for purpose concept, the standards applied may not be relevant for every use of the data which underpins the statistics. This is especially in the case of administrative datasets where the data has two purposes: administrative and statistical. There were also quality indicators which may have been assessed as a quality issue, but cannot be improved by individual data custodians. For example, in the coherence dimension, there are quality indicators which assess the comparability of the statistic over time. Changes in population and characteristic definitions or collection procedures impact on comparability over time but are difficult aspects of the quality process to improve. For this reason, these types of quality indicators were not typically included in the areas for improvement section of the summaries. Document Selection These documents will be presented in a new window.