A fuzzy set theory based computational model to represent the quality of inter-rater agreement
Abstract In this paper we present a method to evaluate the quality of a rater’s judgement, which can integrate and enrich the use of inter-rater agreement as a reliability measure. Our proposal is an integrative one and evaluates the quality of a rater’s performance through an analysis of the profil...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ciavolino, Enrico [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media Dordrecht 2013 |
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| Übergeordnetes Werk: |
Enthalten in: Quality & quantity - Springer Netherlands, 1967, 48(2013), 4 vom: 06. Juli, Seite 2225-2240 |
|---|---|
| Übergeordnetes Werk: |
volume:48 ; year:2013 ; number:4 ; day:06 ; month:07 ; pages:2225-2240 |
| Links: |
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| DOI / URN: |
10.1007/s11135-013-9888-3 |
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OLC2063495432 |
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| 520 | |a Abstract In this paper we present a method to evaluate the quality of a rater’s judgement, which can integrate and enrich the use of inter-rater agreement as a reliability measure. Our proposal is an integrative one and evaluates the quality of a rater’s performance through an analysis of the profile of that individual rater’s performance. We discuss its rationale on the basis of the interpretation of inter-rater agreement, highlighting some critical issues. For this purpose, we adopt a computational model based on fuzzy set theory, demonstrating its main characteristics with an exemplary case study. | ||
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10.1007/s11135-013-9888-3 doi (DE-627)OLC2063495432 (DE-He213)s11135-013-9888-3-p DE-627 ger DE-627 rakwb eng 050 VZ 3,4 ssgn Ciavolino, Enrico verfasserin aut A fuzzy set theory based computational model to represent the quality of inter-rater agreement 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media Dordrecht 2013 Abstract In this paper we present a method to evaluate the quality of a rater’s judgement, which can integrate and enrich the use of inter-rater agreement as a reliability measure. Our proposal is an integrative one and evaluates the quality of a rater’s performance through an analysis of the profile of that individual rater’s performance. We discuss its rationale on the basis of the interpretation of inter-rater agreement, highlighting some critical issues. For this purpose, we adopt a computational model based on fuzzy set theory, demonstrating its main characteristics with an exemplary case study. Inter-rater agreement Fuzzy set theory based models Performance measurement Quality measurement Salvatore, Sergio aut Calcagnì, Antonio aut Enthalten in Quality & quantity Springer Netherlands, 1967 48(2013), 4 vom: 06. Juli, Seite 2225-2240 (DE-627)129084328 (DE-600)4140-3 (DE-576)014417715 0033-5177 nnns volume:48 year:2013 number:4 day:06 month:07 pages:2225-2240 https://doi.org/10.1007/s11135-013-9888-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-SOW GBV_ILN_11 GBV_ILN_65 GBV_ILN_2012 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4325 GBV_ILN_4700 AR 48 2013 4 06 07 2225-2240 |
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10.1007/s11135-013-9888-3 doi (DE-627)OLC2063495432 (DE-He213)s11135-013-9888-3-p DE-627 ger DE-627 rakwb eng 050 VZ 3,4 ssgn Ciavolino, Enrico verfasserin aut A fuzzy set theory based computational model to represent the quality of inter-rater agreement 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media Dordrecht 2013 Abstract In this paper we present a method to evaluate the quality of a rater’s judgement, which can integrate and enrich the use of inter-rater agreement as a reliability measure. Our proposal is an integrative one and evaluates the quality of a rater’s performance through an analysis of the profile of that individual rater’s performance. We discuss its rationale on the basis of the interpretation of inter-rater agreement, highlighting some critical issues. For this purpose, we adopt a computational model based on fuzzy set theory, demonstrating its main characteristics with an exemplary case study. Inter-rater agreement Fuzzy set theory based models Performance measurement Quality measurement Salvatore, Sergio aut Calcagnì, Antonio aut Enthalten in Quality & quantity Springer Netherlands, 1967 48(2013), 4 vom: 06. Juli, Seite 2225-2240 (DE-627)129084328 (DE-600)4140-3 (DE-576)014417715 0033-5177 nnns volume:48 year:2013 number:4 day:06 month:07 pages:2225-2240 https://doi.org/10.1007/s11135-013-9888-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-SOW GBV_ILN_11 GBV_ILN_65 GBV_ILN_2012 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4325 GBV_ILN_4700 AR 48 2013 4 06 07 2225-2240 |
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Abstract In this paper we present a method to evaluate the quality of a rater’s judgement, which can integrate and enrich the use of inter-rater agreement as a reliability measure. Our proposal is an integrative one and evaluates the quality of a rater’s performance through an analysis of the profile of that individual rater’s performance. We discuss its rationale on the basis of the interpretation of inter-rater agreement, highlighting some critical issues. For this purpose, we adopt a computational model based on fuzzy set theory, demonstrating its main characteristics with an exemplary case study. © Springer Science+Business Media Dordrecht 2013 |
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Abstract In this paper we present a method to evaluate the quality of a rater’s judgement, which can integrate and enrich the use of inter-rater agreement as a reliability measure. Our proposal is an integrative one and evaluates the quality of a rater’s performance through an analysis of the profile of that individual rater’s performance. We discuss its rationale on the basis of the interpretation of inter-rater agreement, highlighting some critical issues. For this purpose, we adopt a computational model based on fuzzy set theory, demonstrating its main characteristics with an exemplary case study. © Springer Science+Business Media Dordrecht 2013 |
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Abstract In this paper we present a method to evaluate the quality of a rater’s judgement, which can integrate and enrich the use of inter-rater agreement as a reliability measure. Our proposal is an integrative one and evaluates the quality of a rater’s performance through an analysis of the profile of that individual rater’s performance. We discuss its rationale on the basis of the interpretation of inter-rater agreement, highlighting some critical issues. For this purpose, we adopt a computational model based on fuzzy set theory, demonstrating its main characteristics with an exemplary case study. © Springer Science+Business Media Dordrecht 2013 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2063495432</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230504020044.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2013 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11135-013-9888-3</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2063495432</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11135-013-9888-3-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="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">050</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">3,4</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ciavolino, Enrico</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A fuzzy set theory based computational model to represent the quality of inter-rater agreement</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</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">© Springer Science+Business Media Dordrecht 2013</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In this paper we present a method to evaluate the quality of a rater’s judgement, which can integrate and enrich the use of inter-rater agreement as a reliability measure. Our proposal is an integrative one and evaluates the quality of a rater’s performance through an analysis of the profile of that individual rater’s performance. We discuss its rationale on the basis of the interpretation of inter-rater agreement, highlighting some critical issues. For this purpose, we adopt a computational model based on fuzzy set theory, demonstrating its main characteristics with an exemplary case study.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Inter-rater agreement</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fuzzy set theory based models</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Performance measurement</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Quality measurement</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Salvatore, Sergio</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Calcagnì, Antonio</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Quality & quantity</subfield><subfield code="d">Springer Netherlands, 1967</subfield><subfield code="g">48(2013), 4 vom: 06. Juli, Seite 2225-2240</subfield><subfield code="w">(DE-627)129084328</subfield><subfield code="w">(DE-600)4140-3</subfield><subfield code="w">(DE-576)014417715</subfield><subfield code="x">0033-5177</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:48</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:4</subfield><subfield code="g">day:06</subfield><subfield code="g">month:07</subfield><subfield code="g">pages:2225-2240</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11135-013-9888-3</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-SOW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4029</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">48</subfield><subfield code="j">2013</subfield><subfield code="e">4</subfield><subfield code="b">06</subfield><subfield code="c">07</subfield><subfield code="h">2225-2240</subfield></datafield></record></collection>
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