Chapter Total Process Error framework: an application to economic statistical registers
In recent years, the Italian national institute of statistics (Istat), together with most National Statistical Institutes, is progressively moving from traditional production models based on the use of primary source of information - represented by direct surveys - to new production strategies based...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Online |
| 言語: | 英語 |
| 出版事項: |
Firenze University Press
2022
|
| 主題: | |
| オンライン･アクセス: | ONIX_20220601_9788855184618_566 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|
| _version_ | 1869515262815895552 |
|---|---|
| author | Varriale, Roberta Rocci, Fabiana Luzi, Orietta |
| author_browse | Luzi, Orietta Rocci, Fabiana Varriale, Roberta |
| author_facet | Varriale, Roberta Rocci, Fabiana Luzi, Orietta |
| author_sort | Varriale, Roberta |
| collection | Directory of Open Access Books |
| description | In recent years, the Italian national institute of statistics (Istat), together with most National Statistical Institutes, is progressively moving from traditional production models based on the use of primary source of information - represented by direct surveys - to new production strategies based on the combined use of different primary and secondary sources of information. As result, new multisource statistical processes have been built, that guarantee a major improvement of both amount and quality of information about several phenomena of public interest. In this context, the Total Process Error (TPE) framework has been recently proposed in literature for assessing the quality of multisource processes. The TPE framework represents an evolution of the Zhang’s two-phase life-cycle approach and it additionally includes an operational tool to connect the steps of the multisource production process to the phases of the quality evaluation framework. TPE framework can be used both to support a multisource process design and to monitor an entire production process, in order to provide key elements to assess the quality of both the processes and their statistical outputs. In the present work, we describe as a case study in the new context of Istat production of official statistics the use of the TPE framework to support the process design of the Register for Public Administrations. |
| format | Online |
| id | doab-20.500.12854ir-83795 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Firenze University Press |
| publisherStr | Firenze University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-837952022-06-02T04:38:11Z Chapter Total Process Error framework: an application to economic statistical registers Varriale, Roberta Rocci, Fabiana Luzi, Orietta quality assessment total error multisource processes statistical registers In recent years, the Italian national institute of statistics (Istat), together with most National Statistical Institutes, is progressively moving from traditional production models based on the use of primary source of information - represented by direct surveys - to new production strategies based on the combined use of different primary and secondary sources of information. As result, new multisource statistical processes have been built, that guarantee a major improvement of both amount and quality of information about several phenomena of public interest. In this context, the Total Process Error (TPE) framework has been recently proposed in literature for assessing the quality of multisource processes. The TPE framework represents an evolution of the Zhang’s two-phase life-cycle approach and it additionally includes an operational tool to connect the steps of the multisource production process to the phases of the quality evaluation framework. TPE framework can be used both to support a multisource process design and to monitor an entire production process, in order to provide key elements to assess the quality of both the processes and their statistical outputs. In the present work, we describe as a case study in the new context of Istat production of official statistics the use of the TPE framework to support the process design of the Register for Public Administrations. 2022-06-02T04:38:10Z 2022-06-02T04:38:10Z 2022-06-01T12:21:13Z 2021 chapter ONIX_20220601_9788855184618_566 2704-5846 https://library.oapen.org/handle/20.500.12657/56381 9788855184618 https://directory.doabooks.org/handle/20.500.12854/83795 eng Proceedings e report open access image/jpeg Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/56381/1/26246.pdf Firenze University Press 10.36253/978-88-5518-461-8.28 10.36253/978-88-5518-461-8.28 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9788855184618 5 Florence open access |
| spellingShingle | quality assessment total error multisource processes statistical registers Varriale, Roberta Rocci, Fabiana Luzi, Orietta Chapter Total Process Error framework: an application to economic statistical registers |
| title | Chapter Total Process Error framework: an application to economic statistical registers |
| title_full | Chapter Total Process Error framework: an application to economic statistical registers |
| title_fullStr | Chapter Total Process Error framework: an application to economic statistical registers |
| title_full_unstemmed | Chapter Total Process Error framework: an application to economic statistical registers |
| title_short | Chapter Total Process Error framework: an application to economic statistical registers |
| title_sort | chapter total process error framework an application to economic statistical registers |
| topic | quality assessment total error multisource processes statistical registers |
| topic_facet | quality assessment total error multisource processes statistical registers |
| url | ONIX_20220601_9788855184618_566 |
| work_keys_str_mv | AT varrialeroberta chaptertotalprocesserrorframeworkanapplicationtoeconomicstatisticalregisters AT roccifabiana chaptertotalprocesserrorframeworkanapplicationtoeconomicstatisticalregisters AT luziorietta chaptertotalprocesserrorframeworkanapplicationtoeconomicstatisticalregisters |