Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format
Purpose To assess the feasibility of using a discrete choice experiment (DCE) to value health states within the QLU-C10D, a utility instrument derived from the QLQ-C30, and to assess clarity, difficulty, and respondent preference between two presentation formats. Methods We ran a DCE valuation task...
Ausführliche Beschreibung
Autor*in: |
Norman, R. [verfasserIn] Viney, R. [verfasserIn] Aaronson, N. K. [verfasserIn] Brazier, J. E. [verfasserIn] Cella, D. [verfasserIn] Costa, D. S. J. [verfasserIn] Fayers, P. M. [verfasserIn] Kemmler, G. [verfasserIn] Peacock, S. [verfasserIn] Pickard, A. S. [verfasserIn] Rowen, D. [verfasserIn] Street, D. J. [verfasserIn] Velikova, G. [verfasserIn] Young, T. A. [verfasserIn] King, M. T. [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Übergeordnetes Werk: |
Enthalten in: Quality of life research - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992, 25(2015), 3 vom: 05. Sept., Seite 637-649 |
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Übergeordnetes Werk: |
volume:25 ; year:2015 ; number:3 ; day:05 ; month:09 ; pages:637-649 |
Links: |
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DOI / URN: |
10.1007/s11136-015-1115-3 |
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Katalog-ID: |
SPR016996755 |
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245 | 1 | 0 | |a Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format |
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520 | |a Purpose To assess the feasibility of using a discrete choice experiment (DCE) to value health states within the QLU-C10D, a utility instrument derived from the QLQ-C30, and to assess clarity, difficulty, and respondent preference between two presentation formats. Methods We ran a DCE valuation task in an online panel (N = 430). Respondents answered 16 choice pairs; in half of these, differences between dimensions were highlighted, and in the remainder, common dimensions were described in text and differing attributes were tabulated. To simplify the cognitive task, only four of the QLU-C10D’s ten dimensions differed per choice set. We assessed difficulty and clarity of the valuation task with Likert-type scales, and respondents were asked which format they preferred. We analysed the DCE data by format with a conditional logit model and used Chi-squared tests to compare other responses by format. Semi-structured telephone interviews (N = 8) explored respondents’ cognitive approaches to the valuation task. Results Four hundred and forty-nine individuals were recruited, 430 completed at least one choice set, and 422/449 (94 %) completed all 16 choice sets. Interviews revealed that respondents found ten domains difficult but manageable, many adopting simplifying heuristics. Results for clarity and difficulty were identical between formats, but the “highlight” format was preferred by 68 % of respondents. Conditional logit parameter estimates were monotonic within domains, suggesting respondents were able to complete the DCE sensibly, yielding valid results. Conclusion A DCE valuation task in which only four of the QLU-C10D’s ten dimensions differed in any choice set is feasible for deriving utility weights for the QLU-C10D. | ||
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650 | 4 | |a Discrete choice experiment |7 (dpeaa)DE-He213 | |
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700 | 1 | |a Viney, R. |e verfasserin |4 aut | |
700 | 1 | |a Aaronson, N. K. |e verfasserin |4 aut | |
700 | 1 | |a Brazier, J. E. |e verfasserin |4 aut | |
700 | 1 | |a Cella, D. |e verfasserin |4 aut | |
700 | 1 | |a Costa, D. S. J. |e verfasserin |4 aut | |
700 | 1 | |a Fayers, P. M. |e verfasserin |4 aut | |
700 | 1 | |a Kemmler, G. |e verfasserin |4 aut | |
700 | 1 | |a Peacock, S. |e verfasserin |4 aut | |
700 | 1 | |a Pickard, A. S. |e verfasserin |4 aut | |
700 | 1 | |a Rowen, D. |e verfasserin |4 aut | |
700 | 1 | |a Street, D. J. |e verfasserin |4 aut | |
700 | 1 | |a Velikova, G. |e verfasserin |4 aut | |
700 | 1 | |a Young, T. A. |e verfasserin |4 aut | |
700 | 1 | |a King, M. T. |e verfasserin |4 aut | |
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10.1007/s11136-015-1115-3 doi (DE-627)SPR016996755 (SPR)s11136-015-1115-3-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Norman, R. verfasserin aut Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To assess the feasibility of using a discrete choice experiment (DCE) to value health states within the QLU-C10D, a utility instrument derived from the QLQ-C30, and to assess clarity, difficulty, and respondent preference between two presentation formats. Methods We ran a DCE valuation task in an online panel (N = 430). Respondents answered 16 choice pairs; in half of these, differences between dimensions were highlighted, and in the remainder, common dimensions were described in text and differing attributes were tabulated. To simplify the cognitive task, only four of the QLU-C10D’s ten dimensions differed per choice set. We assessed difficulty and clarity of the valuation task with Likert-type scales, and respondents were asked which format they preferred. We analysed the DCE data by format with a conditional logit model and used Chi-squared tests to compare other responses by format. Semi-structured telephone interviews (N = 8) explored respondents’ cognitive approaches to the valuation task. Results Four hundred and forty-nine individuals were recruited, 430 completed at least one choice set, and 422/449 (94 %) completed all 16 choice sets. Interviews revealed that respondents found ten domains difficult but manageable, many adopting simplifying heuristics. Results for clarity and difficulty were identical between formats, but the “highlight” format was preferred by 68 % of respondents. Conditional logit parameter estimates were monotonic within domains, suggesting respondents were able to complete the DCE sensibly, yielding valid results. Conclusion A DCE valuation task in which only four of the QLU-C10D’s ten dimensions differed in any choice set is feasible for deriving utility weights for the QLU-C10D. Quality of life (dpeaa)DE-He213 Utility (dpeaa)DE-He213 QLQ-C30 (dpeaa)DE-He213 Discrete choice experiment (dpeaa)DE-He213 Cancer (dpeaa)DE-He213 Viney, R. verfasserin aut Aaronson, N. K. verfasserin aut Brazier, J. E. verfasserin aut Cella, D. verfasserin aut Costa, D. S. J. verfasserin aut Fayers, P. M. verfasserin aut Kemmler, G. verfasserin aut Peacock, S. verfasserin aut Pickard, A. S. verfasserin aut Rowen, D. verfasserin aut Street, D. J. verfasserin aut Velikova, G. verfasserin aut Young, T. A. verfasserin aut King, M. T. verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 25(2015), 3 vom: 05. Sept., Seite 637-649 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:25 year:2015 number:3 day:05 month:09 pages:637-649 https://dx.doi.org/10.1007/s11136-015-1115-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 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_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 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_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 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_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 25 2015 3 05 09 637-649 |
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10.1007/s11136-015-1115-3 doi (DE-627)SPR016996755 (SPR)s11136-015-1115-3-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Norman, R. verfasserin aut Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To assess the feasibility of using a discrete choice experiment (DCE) to value health states within the QLU-C10D, a utility instrument derived from the QLQ-C30, and to assess clarity, difficulty, and respondent preference between two presentation formats. Methods We ran a DCE valuation task in an online panel (N = 430). Respondents answered 16 choice pairs; in half of these, differences between dimensions were highlighted, and in the remainder, common dimensions were described in text and differing attributes were tabulated. To simplify the cognitive task, only four of the QLU-C10D’s ten dimensions differed per choice set. We assessed difficulty and clarity of the valuation task with Likert-type scales, and respondents were asked which format they preferred. We analysed the DCE data by format with a conditional logit model and used Chi-squared tests to compare other responses by format. Semi-structured telephone interviews (N = 8) explored respondents’ cognitive approaches to the valuation task. Results Four hundred and forty-nine individuals were recruited, 430 completed at least one choice set, and 422/449 (94 %) completed all 16 choice sets. Interviews revealed that respondents found ten domains difficult but manageable, many adopting simplifying heuristics. Results for clarity and difficulty were identical between formats, but the “highlight” format was preferred by 68 % of respondents. Conditional logit parameter estimates were monotonic within domains, suggesting respondents were able to complete the DCE sensibly, yielding valid results. Conclusion A DCE valuation task in which only four of the QLU-C10D’s ten dimensions differed in any choice set is feasible for deriving utility weights for the QLU-C10D. Quality of life (dpeaa)DE-He213 Utility (dpeaa)DE-He213 QLQ-C30 (dpeaa)DE-He213 Discrete choice experiment (dpeaa)DE-He213 Cancer (dpeaa)DE-He213 Viney, R. verfasserin aut Aaronson, N. K. verfasserin aut Brazier, J. E. verfasserin aut Cella, D. verfasserin aut Costa, D. S. J. verfasserin aut Fayers, P. M. verfasserin aut Kemmler, G. verfasserin aut Peacock, S. verfasserin aut Pickard, A. S. verfasserin aut Rowen, D. verfasserin aut Street, D. J. verfasserin aut Velikova, G. verfasserin aut Young, T. A. verfasserin aut King, M. T. verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 25(2015), 3 vom: 05. Sept., Seite 637-649 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:25 year:2015 number:3 day:05 month:09 pages:637-649 https://dx.doi.org/10.1007/s11136-015-1115-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 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_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 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_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 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_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 25 2015 3 05 09 637-649 |
allfields_unstemmed |
10.1007/s11136-015-1115-3 doi (DE-627)SPR016996755 (SPR)s11136-015-1115-3-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Norman, R. verfasserin aut Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To assess the feasibility of using a discrete choice experiment (DCE) to value health states within the QLU-C10D, a utility instrument derived from the QLQ-C30, and to assess clarity, difficulty, and respondent preference between two presentation formats. Methods We ran a DCE valuation task in an online panel (N = 430). Respondents answered 16 choice pairs; in half of these, differences between dimensions were highlighted, and in the remainder, common dimensions were described in text and differing attributes were tabulated. To simplify the cognitive task, only four of the QLU-C10D’s ten dimensions differed per choice set. We assessed difficulty and clarity of the valuation task with Likert-type scales, and respondents were asked which format they preferred. We analysed the DCE data by format with a conditional logit model and used Chi-squared tests to compare other responses by format. Semi-structured telephone interviews (N = 8) explored respondents’ cognitive approaches to the valuation task. Results Four hundred and forty-nine individuals were recruited, 430 completed at least one choice set, and 422/449 (94 %) completed all 16 choice sets. Interviews revealed that respondents found ten domains difficult but manageable, many adopting simplifying heuristics. Results for clarity and difficulty were identical between formats, but the “highlight” format was preferred by 68 % of respondents. Conditional logit parameter estimates were monotonic within domains, suggesting respondents were able to complete the DCE sensibly, yielding valid results. Conclusion A DCE valuation task in which only four of the QLU-C10D’s ten dimensions differed in any choice set is feasible for deriving utility weights for the QLU-C10D. Quality of life (dpeaa)DE-He213 Utility (dpeaa)DE-He213 QLQ-C30 (dpeaa)DE-He213 Discrete choice experiment (dpeaa)DE-He213 Cancer (dpeaa)DE-He213 Viney, R. verfasserin aut Aaronson, N. K. verfasserin aut Brazier, J. E. verfasserin aut Cella, D. verfasserin aut Costa, D. S. J. verfasserin aut Fayers, P. M. verfasserin aut Kemmler, G. verfasserin aut Peacock, S. verfasserin aut Pickard, A. S. verfasserin aut Rowen, D. verfasserin aut Street, D. J. verfasserin aut Velikova, G. verfasserin aut Young, T. A. verfasserin aut King, M. T. verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 25(2015), 3 vom: 05. Sept., Seite 637-649 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:25 year:2015 number:3 day:05 month:09 pages:637-649 https://dx.doi.org/10.1007/s11136-015-1115-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 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_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 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_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 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_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 25 2015 3 05 09 637-649 |
allfieldsGer |
10.1007/s11136-015-1115-3 doi (DE-627)SPR016996755 (SPR)s11136-015-1115-3-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Norman, R. verfasserin aut Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To assess the feasibility of using a discrete choice experiment (DCE) to value health states within the QLU-C10D, a utility instrument derived from the QLQ-C30, and to assess clarity, difficulty, and respondent preference between two presentation formats. Methods We ran a DCE valuation task in an online panel (N = 430). Respondents answered 16 choice pairs; in half of these, differences between dimensions were highlighted, and in the remainder, common dimensions were described in text and differing attributes were tabulated. To simplify the cognitive task, only four of the QLU-C10D’s ten dimensions differed per choice set. We assessed difficulty and clarity of the valuation task with Likert-type scales, and respondents were asked which format they preferred. We analysed the DCE data by format with a conditional logit model and used Chi-squared tests to compare other responses by format. Semi-structured telephone interviews (N = 8) explored respondents’ cognitive approaches to the valuation task. Results Four hundred and forty-nine individuals were recruited, 430 completed at least one choice set, and 422/449 (94 %) completed all 16 choice sets. Interviews revealed that respondents found ten domains difficult but manageable, many adopting simplifying heuristics. Results for clarity and difficulty were identical between formats, but the “highlight” format was preferred by 68 % of respondents. Conditional logit parameter estimates were monotonic within domains, suggesting respondents were able to complete the DCE sensibly, yielding valid results. Conclusion A DCE valuation task in which only four of the QLU-C10D’s ten dimensions differed in any choice set is feasible for deriving utility weights for the QLU-C10D. Quality of life (dpeaa)DE-He213 Utility (dpeaa)DE-He213 QLQ-C30 (dpeaa)DE-He213 Discrete choice experiment (dpeaa)DE-He213 Cancer (dpeaa)DE-He213 Viney, R. verfasserin aut Aaronson, N. K. verfasserin aut Brazier, J. E. verfasserin aut Cella, D. verfasserin aut Costa, D. S. J. verfasserin aut Fayers, P. M. verfasserin aut Kemmler, G. verfasserin aut Peacock, S. verfasserin aut Pickard, A. S. verfasserin aut Rowen, D. verfasserin aut Street, D. J. verfasserin aut Velikova, G. verfasserin aut Young, T. A. verfasserin aut King, M. T. verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 25(2015), 3 vom: 05. Sept., Seite 637-649 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:25 year:2015 number:3 day:05 month:09 pages:637-649 https://dx.doi.org/10.1007/s11136-015-1115-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 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_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 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_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 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_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 25 2015 3 05 09 637-649 |
allfieldsSound |
10.1007/s11136-015-1115-3 doi (DE-627)SPR016996755 (SPR)s11136-015-1115-3-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Norman, R. verfasserin aut Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To assess the feasibility of using a discrete choice experiment (DCE) to value health states within the QLU-C10D, a utility instrument derived from the QLQ-C30, and to assess clarity, difficulty, and respondent preference between two presentation formats. Methods We ran a DCE valuation task in an online panel (N = 430). Respondents answered 16 choice pairs; in half of these, differences between dimensions were highlighted, and in the remainder, common dimensions were described in text and differing attributes were tabulated. To simplify the cognitive task, only four of the QLU-C10D’s ten dimensions differed per choice set. We assessed difficulty and clarity of the valuation task with Likert-type scales, and respondents were asked which format they preferred. We analysed the DCE data by format with a conditional logit model and used Chi-squared tests to compare other responses by format. Semi-structured telephone interviews (N = 8) explored respondents’ cognitive approaches to the valuation task. Results Four hundred and forty-nine individuals were recruited, 430 completed at least one choice set, and 422/449 (94 %) completed all 16 choice sets. Interviews revealed that respondents found ten domains difficult but manageable, many adopting simplifying heuristics. Results for clarity and difficulty were identical between formats, but the “highlight” format was preferred by 68 % of respondents. Conditional logit parameter estimates were monotonic within domains, suggesting respondents were able to complete the DCE sensibly, yielding valid results. Conclusion A DCE valuation task in which only four of the QLU-C10D’s ten dimensions differed in any choice set is feasible for deriving utility weights for the QLU-C10D. Quality of life (dpeaa)DE-He213 Utility (dpeaa)DE-He213 QLQ-C30 (dpeaa)DE-He213 Discrete choice experiment (dpeaa)DE-He213 Cancer (dpeaa)DE-He213 Viney, R. verfasserin aut Aaronson, N. K. verfasserin aut Brazier, J. E. verfasserin aut Cella, D. verfasserin aut Costa, D. S. J. verfasserin aut Fayers, P. M. verfasserin aut Kemmler, G. verfasserin aut Peacock, S. verfasserin aut Pickard, A. S. verfasserin aut Rowen, D. verfasserin aut Street, D. J. verfasserin aut Velikova, G. verfasserin aut Young, T. A. verfasserin aut King, M. T. verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 25(2015), 3 vom: 05. Sept., Seite 637-649 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:25 year:2015 number:3 day:05 month:09 pages:637-649 https://dx.doi.org/10.1007/s11136-015-1115-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 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_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 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_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 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_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 25 2015 3 05 09 637-649 |
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Norman, R. @@aut@@ Viney, R. @@aut@@ Aaronson, N. K. @@aut@@ Brazier, J. E. @@aut@@ Cella, D. @@aut@@ Costa, D. S. J. @@aut@@ Fayers, P. M. @@aut@@ Kemmler, G. @@aut@@ Peacock, S. @@aut@@ Pickard, A. S. @@aut@@ Rowen, D. @@aut@@ Street, D. J. @@aut@@ Velikova, G. @@aut@@ Young, T. A. @@aut@@ King, M. T. @@aut@@ |
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Methods We ran a DCE valuation task in an online panel (N = 430). Respondents answered 16 choice pairs; in half of these, differences between dimensions were highlighted, and in the remainder, common dimensions were described in text and differing attributes were tabulated. To simplify the cognitive task, only four of the QLU-C10D’s ten dimensions differed per choice set. We assessed difficulty and clarity of the valuation task with Likert-type scales, and respondents were asked which format they preferred. We analysed the DCE data by format with a conditional logit model and used Chi-squared tests to compare other responses by format. Semi-structured telephone interviews (N = 8) explored respondents’ cognitive approaches to the valuation task. Results Four hundred and forty-nine individuals were recruited, 430 completed at least one choice set, and 422/449 (94 %) completed all 16 choice sets. 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author |
Norman, R. |
spellingShingle |
Norman, R. ddc 100 bkl 44.52 misc Quality of life misc Utility misc QLQ-C30 misc Discrete choice experiment misc Cancer Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format |
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100 ASE 44.52 bkl Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format Quality of life (dpeaa)DE-He213 Utility (dpeaa)DE-He213 QLQ-C30 (dpeaa)DE-He213 Discrete choice experiment (dpeaa)DE-He213 Cancer (dpeaa)DE-He213 |
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ddc 100 bkl 44.52 misc Quality of life misc Utility misc QLQ-C30 misc Discrete choice experiment misc Cancer |
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Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format |
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Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format |
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Quality of life research |
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Norman, R. Viney, R. Aaronson, N. K. Brazier, J. E. Cella, D. Costa, D. S. J. Fayers, P. M. Kemmler, G. Peacock, S. Pickard, A. S. Rowen, D. Street, D. J. Velikova, G. Young, T. A. King, M. T. |
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100 ASE 44.52 bkl |
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Elektronische Aufsätze |
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Norman, R. |
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10.1007/s11136-015-1115-3 |
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100 |
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using a discrete choice experiment to value the qlu-c10d: feasibility and sensitivity to presentation format |
title_auth |
Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format |
abstract |
Purpose To assess the feasibility of using a discrete choice experiment (DCE) to value health states within the QLU-C10D, a utility instrument derived from the QLQ-C30, and to assess clarity, difficulty, and respondent preference between two presentation formats. Methods We ran a DCE valuation task in an online panel (N = 430). Respondents answered 16 choice pairs; in half of these, differences between dimensions were highlighted, and in the remainder, common dimensions were described in text and differing attributes were tabulated. To simplify the cognitive task, only four of the QLU-C10D’s ten dimensions differed per choice set. We assessed difficulty and clarity of the valuation task with Likert-type scales, and respondents were asked which format they preferred. We analysed the DCE data by format with a conditional logit model and used Chi-squared tests to compare other responses by format. Semi-structured telephone interviews (N = 8) explored respondents’ cognitive approaches to the valuation task. Results Four hundred and forty-nine individuals were recruited, 430 completed at least one choice set, and 422/449 (94 %) completed all 16 choice sets. Interviews revealed that respondents found ten domains difficult but manageable, many adopting simplifying heuristics. Results for clarity and difficulty were identical between formats, but the “highlight” format was preferred by 68 % of respondents. Conditional logit parameter estimates were monotonic within domains, suggesting respondents were able to complete the DCE sensibly, yielding valid results. Conclusion A DCE valuation task in which only four of the QLU-C10D’s ten dimensions differed in any choice set is feasible for deriving utility weights for the QLU-C10D. |
abstractGer |
Purpose To assess the feasibility of using a discrete choice experiment (DCE) to value health states within the QLU-C10D, a utility instrument derived from the QLQ-C30, and to assess clarity, difficulty, and respondent preference between two presentation formats. Methods We ran a DCE valuation task in an online panel (N = 430). Respondents answered 16 choice pairs; in half of these, differences between dimensions were highlighted, and in the remainder, common dimensions were described in text and differing attributes were tabulated. To simplify the cognitive task, only four of the QLU-C10D’s ten dimensions differed per choice set. We assessed difficulty and clarity of the valuation task with Likert-type scales, and respondents were asked which format they preferred. We analysed the DCE data by format with a conditional logit model and used Chi-squared tests to compare other responses by format. Semi-structured telephone interviews (N = 8) explored respondents’ cognitive approaches to the valuation task. Results Four hundred and forty-nine individuals were recruited, 430 completed at least one choice set, and 422/449 (94 %) completed all 16 choice sets. Interviews revealed that respondents found ten domains difficult but manageable, many adopting simplifying heuristics. Results for clarity and difficulty were identical between formats, but the “highlight” format was preferred by 68 % of respondents. Conditional logit parameter estimates were monotonic within domains, suggesting respondents were able to complete the DCE sensibly, yielding valid results. Conclusion A DCE valuation task in which only four of the QLU-C10D’s ten dimensions differed in any choice set is feasible for deriving utility weights for the QLU-C10D. |
abstract_unstemmed |
Purpose To assess the feasibility of using a discrete choice experiment (DCE) to value health states within the QLU-C10D, a utility instrument derived from the QLQ-C30, and to assess clarity, difficulty, and respondent preference between two presentation formats. Methods We ran a DCE valuation task in an online panel (N = 430). Respondents answered 16 choice pairs; in half of these, differences between dimensions were highlighted, and in the remainder, common dimensions were described in text and differing attributes were tabulated. To simplify the cognitive task, only four of the QLU-C10D’s ten dimensions differed per choice set. We assessed difficulty and clarity of the valuation task with Likert-type scales, and respondents were asked which format they preferred. We analysed the DCE data by format with a conditional logit model and used Chi-squared tests to compare other responses by format. Semi-structured telephone interviews (N = 8) explored respondents’ cognitive approaches to the valuation task. Results Four hundred and forty-nine individuals were recruited, 430 completed at least one choice set, and 422/449 (94 %) completed all 16 choice sets. Interviews revealed that respondents found ten domains difficult but manageable, many adopting simplifying heuristics. Results for clarity and difficulty were identical between formats, but the “highlight” format was preferred by 68 % of respondents. Conditional logit parameter estimates were monotonic within domains, suggesting respondents were able to complete the DCE sensibly, yielding valid results. Conclusion A DCE valuation task in which only four of the QLU-C10D’s ten dimensions differed in any choice set is feasible for deriving utility weights for the QLU-C10D. |
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3 |
title_short |
Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format |
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https://dx.doi.org/10.1007/s11136-015-1115-3 |
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Viney, R. Aaronson, N. K. Brazier, J. E. Cella, D. Costa, D. S. J. Fayers, P. M. Kemmler, G. Peacock, S. Pickard, A. S. Rowen, D. Street, D. J. Velikova, G. Young, T. A. King, M. T. |
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Viney, R. Aaronson, N. K. Brazier, J. E. Cella, D. Costa, D. S. J. Fayers, P. M. Kemmler, G. Peacock, S. Pickard, A. S. Rowen, D. Street, D. J. Velikova, G. Young, T. A. King, M. T. |
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10.1007/s11136-015-1115-3 |
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2024-07-04T01:47:49.930Z |
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Methods We ran a DCE valuation task in an online panel (N = 430). Respondents answered 16 choice pairs; in half of these, differences between dimensions were highlighted, and in the remainder, common dimensions were described in text and differing attributes were tabulated. To simplify the cognitive task, only four of the QLU-C10D’s ten dimensions differed per choice set. We assessed difficulty and clarity of the valuation task with Likert-type scales, and respondents were asked which format they preferred. We analysed the DCE data by format with a conditional logit model and used Chi-squared tests to compare other responses by format. Semi-structured telephone interviews (N = 8) explored respondents’ cognitive approaches to the valuation task. Results Four hundred and forty-nine individuals were recruited, 430 completed at least one choice set, and 422/449 (94 %) completed all 16 choice sets. Interviews revealed that respondents found ten domains difficult but manageable, many adopting simplifying heuristics. Results for clarity and difficulty were identical between formats, but the “highlight” format was preferred by 68 % of respondents. Conditional logit parameter estimates were monotonic within domains, suggesting respondents were able to complete the DCE sensibly, yielding valid results. 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score |
7.399131 |