Statistical Considerations in the Psychometric Validation of Outcome Measures

Background The evaluation of the outcomes of total knee arthroplasty requires measurement tools that are valid, reliable, and responsive to change. However, the accuracy of any outcome measurement is determined by the validity and reliability of the instrument used. To ensure this accuracy, it is im...
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Gespeichert in:

Autor*in:	Sikorskii, Alla [verfasserIn] Noble, Philip C. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2013

Schlagwörter:	Differential Item Functioning Item Response Theory True Score Item Parameter Classical Test Theory

Übergeordnetes Werk:	Enthalten in: Clinical orthopaedics and related research - Philadelphia, PA : Wolters Kluwer Health, 1963, 471(2013), 11 vom: 04. Mai, Seite 3489-3495
Übergeordnetes Werk:	volume:471 ; year:2013 ; number:11 ; day:04 ; month:05 ; pages:3489-3495

Links:	Volltext

DOI / URN:	10.1007/s11999-013-3028-1

Katalog-ID:	SPR023676027

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520			\|a Background The evaluation of the outcomes of total knee arthroplasty requires measurement tools that are valid, reliable, and responsive to change. However, the accuracy of any outcome measurement is determined by the validity and reliability of the instrument used. To ensure this accuracy, it is imperative that each instrument used in orthopaedics is free of biases leading to inaccurate estimates of treatment effects. Where are we now? Many patient-derived outcome instruments have been developed and tested through the application of the standard assessments that form the basis of classical test theory: validity, reliability, and responsiveness. These assessments determine if the instrument reliably measures what it is intended to measure, and if it captures differences among groups of patients or changes over time. Where do we need to go? Thorough evaluation of the outcome instruments used in orthopaedics is a critical prerequisite for the continued improvement of effective patient care. Additional steps of psychometric testing that are sometimes overlooked include testing for differential item functioning (DIF) and the effects of the mode of administration of the outcome instrument. The use of suitable approaches to test for these potential sources of bias would facilitate the development of more robust outcome assessment in research and clinical practice. How do we get there? Testing for DIF, including the effects of mode of administration, may be performed using several analytical approaches. This will allow optimal application of each outcome instrument with respect to patient characteristics, time and mode of the administration, and modification, as necessary.
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allfields	10.1007/s11999-013-3028-1 doi (DE-627)SPR023676027 (SPR)s11999-013-3028-1-e DE-627 ger DE-627 rakwb eng 610 ASE 44.83 bkl Sikorskii, Alla verfasserin aut Statistical Considerations in the Psychometric Validation of Outcome Measures 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background The evaluation of the outcomes of total knee arthroplasty requires measurement tools that are valid, reliable, and responsive to change. However, the accuracy of any outcome measurement is determined by the validity and reliability of the instrument used. To ensure this accuracy, it is imperative that each instrument used in orthopaedics is free of biases leading to inaccurate estimates of treatment effects. Where are we now? Many patient-derived outcome instruments have been developed and tested through the application of the standard assessments that form the basis of classical test theory: validity, reliability, and responsiveness. These assessments determine if the instrument reliably measures what it is intended to measure, and if it captures differences among groups of patients or changes over time. Where do we need to go? Thorough evaluation of the outcome instruments used in orthopaedics is a critical prerequisite for the continued improvement of effective patient care. Additional steps of psychometric testing that are sometimes overlooked include testing for differential item functioning (DIF) and the effects of the mode of administration of the outcome instrument. The use of suitable approaches to test for these potential sources of bias would facilitate the development of more robust outcome assessment in research and clinical practice. How do we get there? Testing for DIF, including the effects of mode of administration, may be performed using several analytical approaches. This will allow optimal application of each outcome instrument with respect to patient characteristics, time and mode of the administration, and modification, as necessary. Differential Item Functioning (dpeaa)DE-He213 Item Response Theory (dpeaa)DE-He213 True Score (dpeaa)DE-He213 Item Parameter (dpeaa)DE-He213 Classical Test Theory (dpeaa)DE-He213 Noble, Philip C. verfasserin aut Enthalten in Clinical orthopaedics and related research Philadelphia, PA : Wolters Kluwer Health, 1963 471(2013), 11 vom: 04. Mai, Seite 3489-3495 (DE-627)316019062 (DE-600)2018318-5 1528-1132 nnns volume:471 year:2013 number:11 day:04 month:05 pages:3489-3495 https://dx.doi.org/10.1007/s11999-013-3028-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.83 ASE AR 471 2013 11 04 05 3489-3495
spelling	10.1007/s11999-013-3028-1 doi (DE-627)SPR023676027 (SPR)s11999-013-3028-1-e DE-627 ger DE-627 rakwb eng 610 ASE 44.83 bkl Sikorskii, Alla verfasserin aut Statistical Considerations in the Psychometric Validation of Outcome Measures 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background The evaluation of the outcomes of total knee arthroplasty requires measurement tools that are valid, reliable, and responsive to change. However, the accuracy of any outcome measurement is determined by the validity and reliability of the instrument used. To ensure this accuracy, it is imperative that each instrument used in orthopaedics is free of biases leading to inaccurate estimates of treatment effects. Where are we now? Many patient-derived outcome instruments have been developed and tested through the application of the standard assessments that form the basis of classical test theory: validity, reliability, and responsiveness. These assessments determine if the instrument reliably measures what it is intended to measure, and if it captures differences among groups of patients or changes over time. Where do we need to go? Thorough evaluation of the outcome instruments used in orthopaedics is a critical prerequisite for the continued improvement of effective patient care. Additional steps of psychometric testing that are sometimes overlooked include testing for differential item functioning (DIF) and the effects of the mode of administration of the outcome instrument. The use of suitable approaches to test for these potential sources of bias would facilitate the development of more robust outcome assessment in research and clinical practice. How do we get there? Testing for DIF, including the effects of mode of administration, may be performed using several analytical approaches. This will allow optimal application of each outcome instrument with respect to patient characteristics, time and mode of the administration, and modification, as necessary. Differential Item Functioning (dpeaa)DE-He213 Item Response Theory (dpeaa)DE-He213 True Score (dpeaa)DE-He213 Item Parameter (dpeaa)DE-He213 Classical Test Theory (dpeaa)DE-He213 Noble, Philip C. verfasserin aut Enthalten in Clinical orthopaedics and related research Philadelphia, PA : Wolters Kluwer Health, 1963 471(2013), 11 vom: 04. Mai, Seite 3489-3495 (DE-627)316019062 (DE-600)2018318-5 1528-1132 nnns volume:471 year:2013 number:11 day:04 month:05 pages:3489-3495 https://dx.doi.org/10.1007/s11999-013-3028-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.83 ASE AR 471 2013 11 04 05 3489-3495
allfields_unstemmed	10.1007/s11999-013-3028-1 doi (DE-627)SPR023676027 (SPR)s11999-013-3028-1-e DE-627 ger DE-627 rakwb eng 610 ASE 44.83 bkl Sikorskii, Alla verfasserin aut Statistical Considerations in the Psychometric Validation of Outcome Measures 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background The evaluation of the outcomes of total knee arthroplasty requires measurement tools that are valid, reliable, and responsive to change. However, the accuracy of any outcome measurement is determined by the validity and reliability of the instrument used. To ensure this accuracy, it is imperative that each instrument used in orthopaedics is free of biases leading to inaccurate estimates of treatment effects. Where are we now? Many patient-derived outcome instruments have been developed and tested through the application of the standard assessments that form the basis of classical test theory: validity, reliability, and responsiveness. These assessments determine if the instrument reliably measures what it is intended to measure, and if it captures differences among groups of patients or changes over time. Where do we need to go? Thorough evaluation of the outcome instruments used in orthopaedics is a critical prerequisite for the continued improvement of effective patient care. Additional steps of psychometric testing that are sometimes overlooked include testing for differential item functioning (DIF) and the effects of the mode of administration of the outcome instrument. The use of suitable approaches to test for these potential sources of bias would facilitate the development of more robust outcome assessment in research and clinical practice. How do we get there? Testing for DIF, including the effects of mode of administration, may be performed using several analytical approaches. This will allow optimal application of each outcome instrument with respect to patient characteristics, time and mode of the administration, and modification, as necessary. Differential Item Functioning (dpeaa)DE-He213 Item Response Theory (dpeaa)DE-He213 True Score (dpeaa)DE-He213 Item Parameter (dpeaa)DE-He213 Classical Test Theory (dpeaa)DE-He213 Noble, Philip C. verfasserin aut Enthalten in Clinical orthopaedics and related research Philadelphia, PA : Wolters Kluwer Health, 1963 471(2013), 11 vom: 04. Mai, Seite 3489-3495 (DE-627)316019062 (DE-600)2018318-5 1528-1132 nnns volume:471 year:2013 number:11 day:04 month:05 pages:3489-3495 https://dx.doi.org/10.1007/s11999-013-3028-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.83 ASE AR 471 2013 11 04 05 3489-3495
allfieldsGer	10.1007/s11999-013-3028-1 doi (DE-627)SPR023676027 (SPR)s11999-013-3028-1-e DE-627 ger DE-627 rakwb eng 610 ASE 44.83 bkl Sikorskii, Alla verfasserin aut Statistical Considerations in the Psychometric Validation of Outcome Measures 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background The evaluation of the outcomes of total knee arthroplasty requires measurement tools that are valid, reliable, and responsive to change. However, the accuracy of any outcome measurement is determined by the validity and reliability of the instrument used. To ensure this accuracy, it is imperative that each instrument used in orthopaedics is free of biases leading to inaccurate estimates of treatment effects. Where are we now? Many patient-derived outcome instruments have been developed and tested through the application of the standard assessments that form the basis of classical test theory: validity, reliability, and responsiveness. These assessments determine if the instrument reliably measures what it is intended to measure, and if it captures differences among groups of patients or changes over time. Where do we need to go? Thorough evaluation of the outcome instruments used in orthopaedics is a critical prerequisite for the continued improvement of effective patient care. Additional steps of psychometric testing that are sometimes overlooked include testing for differential item functioning (DIF) and the effects of the mode of administration of the outcome instrument. The use of suitable approaches to test for these potential sources of bias would facilitate the development of more robust outcome assessment in research and clinical practice. How do we get there? Testing for DIF, including the effects of mode of administration, may be performed using several analytical approaches. This will allow optimal application of each outcome instrument with respect to patient characteristics, time and mode of the administration, and modification, as necessary. Differential Item Functioning (dpeaa)DE-He213 Item Response Theory (dpeaa)DE-He213 True Score (dpeaa)DE-He213 Item Parameter (dpeaa)DE-He213 Classical Test Theory (dpeaa)DE-He213 Noble, Philip C. verfasserin aut Enthalten in Clinical orthopaedics and related research Philadelphia, PA : Wolters Kluwer Health, 1963 471(2013), 11 vom: 04. Mai, Seite 3489-3495 (DE-627)316019062 (DE-600)2018318-5 1528-1132 nnns volume:471 year:2013 number:11 day:04 month:05 pages:3489-3495 https://dx.doi.org/10.1007/s11999-013-3028-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.83 ASE AR 471 2013 11 04 05 3489-3495
allfieldsSound	10.1007/s11999-013-3028-1 doi (DE-627)SPR023676027 (SPR)s11999-013-3028-1-e DE-627 ger DE-627 rakwb eng 610 ASE 44.83 bkl Sikorskii, Alla verfasserin aut Statistical Considerations in the Psychometric Validation of Outcome Measures 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background The evaluation of the outcomes of total knee arthroplasty requires measurement tools that are valid, reliable, and responsive to change. However, the accuracy of any outcome measurement is determined by the validity and reliability of the instrument used. To ensure this accuracy, it is imperative that each instrument used in orthopaedics is free of biases leading to inaccurate estimates of treatment effects. Where are we now? Many patient-derived outcome instruments have been developed and tested through the application of the standard assessments that form the basis of classical test theory: validity, reliability, and responsiveness. These assessments determine if the instrument reliably measures what it is intended to measure, and if it captures differences among groups of patients or changes over time. Where do we need to go? Thorough evaluation of the outcome instruments used in orthopaedics is a critical prerequisite for the continued improvement of effective patient care. Additional steps of psychometric testing that are sometimes overlooked include testing for differential item functioning (DIF) and the effects of the mode of administration of the outcome instrument. The use of suitable approaches to test for these potential sources of bias would facilitate the development of more robust outcome assessment in research and clinical practice. How do we get there? Testing for DIF, including the effects of mode of administration, may be performed using several analytical approaches. This will allow optimal application of each outcome instrument with respect to patient characteristics, time and mode of the administration, and modification, as necessary. Differential Item Functioning (dpeaa)DE-He213 Item Response Theory (dpeaa)DE-He213 True Score (dpeaa)DE-He213 Item Parameter (dpeaa)DE-He213 Classical Test Theory (dpeaa)DE-He213 Noble, Philip C. verfasserin aut Enthalten in Clinical orthopaedics and related research Philadelphia, PA : Wolters Kluwer Health, 1963 471(2013), 11 vom: 04. Mai, Seite 3489-3495 (DE-627)316019062 (DE-600)2018318-5 1528-1132 nnns volume:471 year:2013 number:11 day:04 month:05 pages:3489-3495 https://dx.doi.org/10.1007/s11999-013-3028-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.83 ASE AR 471 2013 11 04 05 3489-3495
language	English
source	Enthalten in Clinical orthopaedics and related research 471(2013), 11 vom: 04. Mai, Seite 3489-3495 volume:471 year:2013 number:11 day:04 month:05 pages:3489-3495
sourceStr	Enthalten in Clinical orthopaedics and related research 471(2013), 11 vom: 04. Mai, Seite 3489-3495 volume:471 year:2013 number:11 day:04 month:05 pages:3489-3495
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Differential Item Functioning Item Response Theory True Score Item Parameter Classical Test Theory
dewey-raw	610
isfreeaccess_bool	false
container_title	Clinical orthopaedics and related research
authorswithroles_txt_mv	Sikorskii, Alla @@aut@@ Noble, Philip C. @@aut@@
publishDateDaySort_date	2013-05-04T00:00:00Z
hierarchy_top_id	316019062
dewey-sort	3610
id	SPR023676027
language_de	englisch
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author	Sikorskii, Alla
spellingShingle	Sikorskii, Alla ddc 610 bkl 44.83 misc Differential Item Functioning misc Item Response Theory misc True Score misc Item Parameter misc Classical Test Theory Statistical Considerations in the Psychometric Validation of Outcome Measures
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topic_title	610 ASE 44.83 bkl Statistical Considerations in the Psychometric Validation of Outcome Measures Differential Item Functioning (dpeaa)DE-He213 Item Response Theory (dpeaa)DE-He213 True Score (dpeaa)DE-He213 Item Parameter (dpeaa)DE-He213 Classical Test Theory (dpeaa)DE-He213
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title	Statistical Considerations in the Psychometric Validation of Outcome Measures
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title_full	Statistical Considerations in the Psychometric Validation of Outcome Measures
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title_sort	statistical considerations in the psychometric validation of outcome measures
title_auth	Statistical Considerations in the Psychometric Validation of Outcome Measures
abstract	Background The evaluation of the outcomes of total knee arthroplasty requires measurement tools that are valid, reliable, and responsive to change. However, the accuracy of any outcome measurement is determined by the validity and reliability of the instrument used. To ensure this accuracy, it is imperative that each instrument used in orthopaedics is free of biases leading to inaccurate estimates of treatment effects. Where are we now? Many patient-derived outcome instruments have been developed and tested through the application of the standard assessments that form the basis of classical test theory: validity, reliability, and responsiveness. These assessments determine if the instrument reliably measures what it is intended to measure, and if it captures differences among groups of patients or changes over time. Where do we need to go? Thorough evaluation of the outcome instruments used in orthopaedics is a critical prerequisite for the continued improvement of effective patient care. Additional steps of psychometric testing that are sometimes overlooked include testing for differential item functioning (DIF) and the effects of the mode of administration of the outcome instrument. The use of suitable approaches to test for these potential sources of bias would facilitate the development of more robust outcome assessment in research and clinical practice. How do we get there? Testing for DIF, including the effects of mode of administration, may be performed using several analytical approaches. This will allow optimal application of each outcome instrument with respect to patient characteristics, time and mode of the administration, and modification, as necessary.
abstractGer	Background The evaluation of the outcomes of total knee arthroplasty requires measurement tools that are valid, reliable, and responsive to change. However, the accuracy of any outcome measurement is determined by the validity and reliability of the instrument used. To ensure this accuracy, it is imperative that each instrument used in orthopaedics is free of biases leading to inaccurate estimates of treatment effects. Where are we now? Many patient-derived outcome instruments have been developed and tested through the application of the standard assessments that form the basis of classical test theory: validity, reliability, and responsiveness. These assessments determine if the instrument reliably measures what it is intended to measure, and if it captures differences among groups of patients or changes over time. Where do we need to go? Thorough evaluation of the outcome instruments used in orthopaedics is a critical prerequisite for the continued improvement of effective patient care. Additional steps of psychometric testing that are sometimes overlooked include testing for differential item functioning (DIF) and the effects of the mode of administration of the outcome instrument. The use of suitable approaches to test for these potential sources of bias would facilitate the development of more robust outcome assessment in research and clinical practice. How do we get there? Testing for DIF, including the effects of mode of administration, may be performed using several analytical approaches. This will allow optimal application of each outcome instrument with respect to patient characteristics, time and mode of the administration, and modification, as necessary.
abstract_unstemmed	Background The evaluation of the outcomes of total knee arthroplasty requires measurement tools that are valid, reliable, and responsive to change. However, the accuracy of any outcome measurement is determined by the validity and reliability of the instrument used. To ensure this accuracy, it is imperative that each instrument used in orthopaedics is free of biases leading to inaccurate estimates of treatment effects. Where are we now? Many patient-derived outcome instruments have been developed and tested through the application of the standard assessments that form the basis of classical test theory: validity, reliability, and responsiveness. These assessments determine if the instrument reliably measures what it is intended to measure, and if it captures differences among groups of patients or changes over time. Where do we need to go? Thorough evaluation of the outcome instruments used in orthopaedics is a critical prerequisite for the continued improvement of effective patient care. Additional steps of psychometric testing that are sometimes overlooked include testing for differential item functioning (DIF) and the effects of the mode of administration of the outcome instrument. The use of suitable approaches to test for these potential sources of bias would facilitate the development of more robust outcome assessment in research and clinical practice. How do we get there? Testing for DIF, including the effects of mode of administration, may be performed using several analytical approaches. This will allow optimal application of each outcome instrument with respect to patient characteristics, time and mode of the administration, and modification, as necessary.
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title_short	Statistical Considerations in the Psychometric Validation of Outcome Measures
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up_date	2024-07-03T20:34:38.384Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR023676027</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519073502.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201006s2013 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11999-013-3028-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR023676027</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11999-013-3028-1-e</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">610</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.83</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Sikorskii, Alla</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Statistical Considerations in the Psychometric Validation of Outcome Measures</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">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background The evaluation of the outcomes of total knee arthroplasty requires measurement tools that are valid, reliable, and responsive to change. However, the accuracy of any outcome measurement is determined by the validity and reliability of the instrument used. To ensure this accuracy, it is imperative that each instrument used in orthopaedics is free of biases leading to inaccurate estimates of treatment effects. Where are we now? Many patient-derived outcome instruments have been developed and tested through the application of the standard assessments that form the basis of classical test theory: validity, reliability, and responsiveness. These assessments determine if the instrument reliably measures what it is intended to measure, and if it captures differences among groups of patients or changes over time. Where do we need to go? Thorough evaluation of the outcome instruments used in orthopaedics is a critical prerequisite for the continued improvement of effective patient care. Additional steps of psychometric testing that are sometimes overlooked include testing for differential item functioning (DIF) and the effects of the mode of administration of the outcome instrument. The use of suitable approaches to test for these potential sources of bias would facilitate the development of more robust outcome assessment in research and clinical practice. How do we get there? Testing for DIF, including the effects of mode of administration, may be performed using several analytical approaches. 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Statistical Considerations in the Psychometric Validation of Outcome Measures

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