Are All Quality Dimensions of Equal Importance when Measuring the Perceived Quality of Official Statistics? Evidence from Spain
Abstract Quality has become the key concept in official statistics. There is a general consensus that we have to consider several components when assessing the quality of statistical information. Relevance, accuracy, timeliness, punctuality, comparability, coherence, accessibility and clarity are th...
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| Autor*in: |
Costa, Alex [verfasserIn] |
|---|
| Format: |
Artikel |
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| Erschienen: |
2014 |
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| Anmerkung: |
© by Alex Costa |
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| Übergeordnetes Werk: |
Enthalten in: Journal of official statistics - De Gruyter Open, 1985, 30(2014), 3 vom: 01. Sept., Seite 547-562 |
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| Übergeordnetes Werk: |
volume:30 ; year:2014 ; number:3 ; day:01 ; month:09 ; pages:547-562 |
| Links: |
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| DOI / URN: |
10.2478/jos-2014-0034 |
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OLC2138178072 |
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| 520 | |a Abstract Quality has become the key concept in official statistics. There is a general consensus that we have to consider several components when assessing the quality of statistical information. Relevance, accuracy, timeliness, punctuality, comparability, coherence, accessibility and clarity are the dimensions most frequently mentioned. In this article we use regression analysis to evaluate the contribution of these different dimensions when assessing the overall quality of statistical products. We do this using the information collected in the structured consultation with users and experts from both inside and outside the Spanish Central Administration carried out by the Working Group of the Spanish High Council on Statistics, responsible for the preliminary draft of the proposals and recommendations of this council for the Spanish Multiannual Statistical Programme 2013-2016. We find that the abovementioned dimensions have different weights in the overall assessment of perceived quality (with accuracy and reliability having the highest weight, and relevance having the lowest) and that the structure differs between both types of users. | ||
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10.2478/jos-2014-0034 doi (DE-627)OLC2138178072 (DE-B1597)jos-2014-0034-p DE-627 ger DE-627 rakwb 510 VZ 31.00 bkl Costa, Alex verfasserin aut Are All Quality Dimensions of Equal Importance when Measuring the Perceived Quality of Official Statistics? Evidence from Spain 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © by Alex Costa Abstract Quality has become the key concept in official statistics. There is a general consensus that we have to consider several components when assessing the quality of statistical information. Relevance, accuracy, timeliness, punctuality, comparability, coherence, accessibility and clarity are the dimensions most frequently mentioned. In this article we use regression analysis to evaluate the contribution of these different dimensions when assessing the overall quality of statistical products. We do this using the information collected in the structured consultation with users and experts from both inside and outside the Spanish Central Administration carried out by the Working Group of the Spanish High Council on Statistics, responsible for the preliminary draft of the proposals and recommendations of this council for the Spanish Multiannual Statistical Programme 2013-2016. We find that the abovementioned dimensions have different weights in the overall assessment of perceived quality (with accuracy and reliability having the highest weight, and relevance having the lowest) and that the structure differs between both types of users. Garcıá, Jaume aut Raymond, Josep Lluis aut Enthalten in Journal of official statistics De Gruyter Open, 1985 30(2014), 3 vom: 01. Sept., Seite 547-562 (DE-627)130422746 (DE-600)629930-1 (DE-576)015923274 0282-423X nnns volume:30 year:2014 number:3 day:01 month:09 pages:547-562 https://doi.org/10.2478/jos-2014-0034 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_2006 GBV_ILN_2085 GBV_ILN_4116 31.00 VZ AR 30 2014 3 01 09 547-562 |
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10.2478/jos-2014-0034 doi (DE-627)OLC2138178072 (DE-B1597)jos-2014-0034-p DE-627 ger DE-627 rakwb 510 VZ 31.00 bkl Costa, Alex verfasserin aut Are All Quality Dimensions of Equal Importance when Measuring the Perceived Quality of Official Statistics? Evidence from Spain 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © by Alex Costa Abstract Quality has become the key concept in official statistics. There is a general consensus that we have to consider several components when assessing the quality of statistical information. Relevance, accuracy, timeliness, punctuality, comparability, coherence, accessibility and clarity are the dimensions most frequently mentioned. In this article we use regression analysis to evaluate the contribution of these different dimensions when assessing the overall quality of statistical products. We do this using the information collected in the structured consultation with users and experts from both inside and outside the Spanish Central Administration carried out by the Working Group of the Spanish High Council on Statistics, responsible for the preliminary draft of the proposals and recommendations of this council for the Spanish Multiannual Statistical Programme 2013-2016. We find that the abovementioned dimensions have different weights in the overall assessment of perceived quality (with accuracy and reliability having the highest weight, and relevance having the lowest) and that the structure differs between both types of users. Garcıá, Jaume aut Raymond, Josep Lluis aut Enthalten in Journal of official statistics De Gruyter Open, 1985 30(2014), 3 vom: 01. Sept., Seite 547-562 (DE-627)130422746 (DE-600)629930-1 (DE-576)015923274 0282-423X nnns volume:30 year:2014 number:3 day:01 month:09 pages:547-562 https://doi.org/10.2478/jos-2014-0034 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_2006 GBV_ILN_2085 GBV_ILN_4116 31.00 VZ AR 30 2014 3 01 09 547-562 |
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10.2478/jos-2014-0034 doi (DE-627)OLC2138178072 (DE-B1597)jos-2014-0034-p DE-627 ger DE-627 rakwb 510 VZ 31.00 bkl Costa, Alex verfasserin aut Are All Quality Dimensions of Equal Importance when Measuring the Perceived Quality of Official Statistics? Evidence from Spain 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © by Alex Costa Abstract Quality has become the key concept in official statistics. There is a general consensus that we have to consider several components when assessing the quality of statistical information. Relevance, accuracy, timeliness, punctuality, comparability, coherence, accessibility and clarity are the dimensions most frequently mentioned. In this article we use regression analysis to evaluate the contribution of these different dimensions when assessing the overall quality of statistical products. We do this using the information collected in the structured consultation with users and experts from both inside and outside the Spanish Central Administration carried out by the Working Group of the Spanish High Council on Statistics, responsible for the preliminary draft of the proposals and recommendations of this council for the Spanish Multiannual Statistical Programme 2013-2016. We find that the abovementioned dimensions have different weights in the overall assessment of perceived quality (with accuracy and reliability having the highest weight, and relevance having the lowest) and that the structure differs between both types of users. Garcıá, Jaume aut Raymond, Josep Lluis aut Enthalten in Journal of official statistics De Gruyter Open, 1985 30(2014), 3 vom: 01. Sept., Seite 547-562 (DE-627)130422746 (DE-600)629930-1 (DE-576)015923274 0282-423X nnns volume:30 year:2014 number:3 day:01 month:09 pages:547-562 https://doi.org/10.2478/jos-2014-0034 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_2006 GBV_ILN_2085 GBV_ILN_4116 31.00 VZ AR 30 2014 3 01 09 547-562 |
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10.2478/jos-2014-0034 doi (DE-627)OLC2138178072 (DE-B1597)jos-2014-0034-p DE-627 ger DE-627 rakwb 510 VZ 31.00 bkl Costa, Alex verfasserin aut Are All Quality Dimensions of Equal Importance when Measuring the Perceived Quality of Official Statistics? Evidence from Spain 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © by Alex Costa Abstract Quality has become the key concept in official statistics. There is a general consensus that we have to consider several components when assessing the quality of statistical information. Relevance, accuracy, timeliness, punctuality, comparability, coherence, accessibility and clarity are the dimensions most frequently mentioned. In this article we use regression analysis to evaluate the contribution of these different dimensions when assessing the overall quality of statistical products. We do this using the information collected in the structured consultation with users and experts from both inside and outside the Spanish Central Administration carried out by the Working Group of the Spanish High Council on Statistics, responsible for the preliminary draft of the proposals and recommendations of this council for the Spanish Multiannual Statistical Programme 2013-2016. We find that the abovementioned dimensions have different weights in the overall assessment of perceived quality (with accuracy and reliability having the highest weight, and relevance having the lowest) and that the structure differs between both types of users. Garcıá, Jaume aut Raymond, Josep Lluis aut Enthalten in Journal of official statistics De Gruyter Open, 1985 30(2014), 3 vom: 01. Sept., Seite 547-562 (DE-627)130422746 (DE-600)629930-1 (DE-576)015923274 0282-423X nnns volume:30 year:2014 number:3 day:01 month:09 pages:547-562 https://doi.org/10.2478/jos-2014-0034 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_2006 GBV_ILN_2085 GBV_ILN_4116 31.00 VZ AR 30 2014 3 01 09 547-562 |
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10.2478/jos-2014-0034 doi (DE-627)OLC2138178072 (DE-B1597)jos-2014-0034-p DE-627 ger DE-627 rakwb 510 VZ 31.00 bkl Costa, Alex verfasserin aut Are All Quality Dimensions of Equal Importance when Measuring the Perceived Quality of Official Statistics? Evidence from Spain 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © by Alex Costa Abstract Quality has become the key concept in official statistics. There is a general consensus that we have to consider several components when assessing the quality of statistical information. Relevance, accuracy, timeliness, punctuality, comparability, coherence, accessibility and clarity are the dimensions most frequently mentioned. In this article we use regression analysis to evaluate the contribution of these different dimensions when assessing the overall quality of statistical products. We do this using the information collected in the structured consultation with users and experts from both inside and outside the Spanish Central Administration carried out by the Working Group of the Spanish High Council on Statistics, responsible for the preliminary draft of the proposals and recommendations of this council for the Spanish Multiannual Statistical Programme 2013-2016. We find that the abovementioned dimensions have different weights in the overall assessment of perceived quality (with accuracy and reliability having the highest weight, and relevance having the lowest) and that the structure differs between both types of users. Garcıá, Jaume aut Raymond, Josep Lluis aut Enthalten in Journal of official statistics De Gruyter Open, 1985 30(2014), 3 vom: 01. Sept., Seite 547-562 (DE-627)130422746 (DE-600)629930-1 (DE-576)015923274 0282-423X nnns volume:30 year:2014 number:3 day:01 month:09 pages:547-562 https://doi.org/10.2478/jos-2014-0034 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_2006 GBV_ILN_2085 GBV_ILN_4116 31.00 VZ AR 30 2014 3 01 09 547-562 |
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Abstract Quality has become the key concept in official statistics. There is a general consensus that we have to consider several components when assessing the quality of statistical information. Relevance, accuracy, timeliness, punctuality, comparability, coherence, accessibility and clarity are the dimensions most frequently mentioned. In this article we use regression analysis to evaluate the contribution of these different dimensions when assessing the overall quality of statistical products. We do this using the information collected in the structured consultation with users and experts from both inside and outside the Spanish Central Administration carried out by the Working Group of the Spanish High Council on Statistics, responsible for the preliminary draft of the proposals and recommendations of this council for the Spanish Multiannual Statistical Programme 2013-2016. We find that the abovementioned dimensions have different weights in the overall assessment of perceived quality (with accuracy and reliability having the highest weight, and relevance having the lowest) and that the structure differs between both types of users. © by Alex Costa |
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Abstract Quality has become the key concept in official statistics. There is a general consensus that we have to consider several components when assessing the quality of statistical information. Relevance, accuracy, timeliness, punctuality, comparability, coherence, accessibility and clarity are the dimensions most frequently mentioned. In this article we use regression analysis to evaluate the contribution of these different dimensions when assessing the overall quality of statistical products. We do this using the information collected in the structured consultation with users and experts from both inside and outside the Spanish Central Administration carried out by the Working Group of the Spanish High Council on Statistics, responsible for the preliminary draft of the proposals and recommendations of this council for the Spanish Multiannual Statistical Programme 2013-2016. We find that the abovementioned dimensions have different weights in the overall assessment of perceived quality (with accuracy and reliability having the highest weight, and relevance having the lowest) and that the structure differs between both types of users. © by Alex Costa |
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Abstract Quality has become the key concept in official statistics. There is a general consensus that we have to consider several components when assessing the quality of statistical information. Relevance, accuracy, timeliness, punctuality, comparability, coherence, accessibility and clarity are the dimensions most frequently mentioned. In this article we use regression analysis to evaluate the contribution of these different dimensions when assessing the overall quality of statistical products. We do this using the information collected in the structured consultation with users and experts from both inside and outside the Spanish Central Administration carried out by the Working Group of the Spanish High Council on Statistics, responsible for the preliminary draft of the proposals and recommendations of this council for the Spanish Multiannual Statistical Programme 2013-2016. We find that the abovementioned dimensions have different weights in the overall assessment of perceived quality (with accuracy and reliability having the highest weight, and relevance having the lowest) and that the structure differs between both types of users. © by Alex Costa |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC2138178072</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230810085528.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230810s2014 xx ||||| 00| ||und c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.2478/jos-2014-0034</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2138178072</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-B1597)jos-2014-0034-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">510</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">31.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Costa, Alex</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Are All Quality Dimensions of Equal Importance when Measuring the Perceived Quality of Official Statistics? Evidence from Spain</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© by Alex Costa</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Quality has become the key concept in official statistics. There is a general consensus that we have to consider several components when assessing the quality of statistical information. Relevance, accuracy, timeliness, punctuality, comparability, coherence, accessibility and clarity are the dimensions most frequently mentioned. In this article we use regression analysis to evaluate the contribution of these different dimensions when assessing the overall quality of statistical products. We do this using the information collected in the structured consultation with users and experts from both inside and outside the Spanish Central Administration carried out by the Working Group of the Spanish High Council on Statistics, responsible for the preliminary draft of the proposals and recommendations of this council for the Spanish Multiannual Statistical Programme 2013-2016. 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