Improving the statistical power of economic experiments using adaptive designs

Gespeichert in:

Autor*in:	Jobjörnsson, Sebastian [verfasserIn] Schaak, Henning - 1989- [verfasserIn] Mußhoff, Oliver [verfasserIn] Friede, Tim - 1971- [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Adaptive design Experimental design Family-wise error rate Multiple testing Simulation study

Übergeordnetes Werk:	Enthalten in: Experimental economics - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1998, 26(2023), 2 vom: Apr., Seite 357-382
Übergeordnetes Werk:	volume:26 ; year:2023 ; number:2 ; month:04 ; pages:357-382

Links:	Link aufrufen Link aufrufen

DOI / URN:	10.1007/s10683-022-09773-8

Katalog-ID:	1844791343

Internformat


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Indexfelder

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publishDate	2023
allfields	10.1007/s10683-022-09773-8 doi (DE-627)1844791343 (DE-599)KXP1844791343 (DE-He213)s10683-022-09773-8-e DE-627 ger DE-627 rda eng Jobjörnsson, Sebastian verfasserin aut Improving the statistical power of economic experiments using adaptive designs Sebastian Jobjörnsson, Henning Schaak, Oliver Musshoff, Tim Friede 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Adaptive design (dpeaa)DE-206 Experimental design (dpeaa)DE-206 Family-wise error rate (dpeaa)DE-206 Multiple testing (dpeaa)DE-206 Simulation study (dpeaa)DE-206 Schaak, Henning 1989- verfasserin (DE-588)120340560X (DE-627)1688495134 aut Mußhoff, Oliver verfasserin (DE-588)134081153 (DE-627)560095686 (DE-576)186838042 aut Friede, Tim 1971- verfasserin (DE-588)123130999 (DE-627)082365156 (DE-576)183804082 aut Enthalten in Experimental economics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1998 26(2023), 2 vom: Apr., Seite 357-382 Online-Ressource (DE-627)320528286 (DE-600)2015444-6 (DE-576)105357243 1573-6938 nnns volume:26 year:2023 number:2 month:04 pages:357-382 https://link.springer.com/content/pdf/10.1007/s10683-022-09773-8.pdf?pdf=button Verlag kostenfrei https://doi.org/10.1007/s10683-022-09773-8 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 26 2023 2 4 357-382 26 01 0206 431919294X x1z 08-05-23 2403 01 DE-LFER 4331336751 00 --%%-- --%%-- n --%%-- l01 12-06-23 2403 01 DE-LFER https://doi.org/10.1007/s10683-022-09773-8 2403 01 DE-LFER https://link.springer.com/content/pdf/10.1007/s10683-022-09773-8.pdf?pdf=button 26 00 DE-206 An important issue for many economic experiments is how the experimenter can ensure sufficient power in order to reject one or more hypotheses. The paper illustrates how methods for testing multiple hypotheses simultaneously in adaptive, two-stage designs can be used to improve the power of economic experiments. We provide a concise overview of the relevant theory and illustrate the method in three different applications. These include a simulation study of a hypothetical experimental design, as well as illustrations using two data sets from previous experiments. The simulation results highlight the potential for sample size reductions, maintaining the power to reject at least one hypothesis while ensuring strong control of the overall Type I error probability.
spelling	10.1007/s10683-022-09773-8 doi (DE-627)1844791343 (DE-599)KXP1844791343 (DE-He213)s10683-022-09773-8-e DE-627 ger DE-627 rda eng Jobjörnsson, Sebastian verfasserin aut Improving the statistical power of economic experiments using adaptive designs Sebastian Jobjörnsson, Henning Schaak, Oliver Musshoff, Tim Friede 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Adaptive design (dpeaa)DE-206 Experimental design (dpeaa)DE-206 Family-wise error rate (dpeaa)DE-206 Multiple testing (dpeaa)DE-206 Simulation study (dpeaa)DE-206 Schaak, Henning 1989- verfasserin (DE-588)120340560X (DE-627)1688495134 aut Mußhoff, Oliver verfasserin (DE-588)134081153 (DE-627)560095686 (DE-576)186838042 aut Friede, Tim 1971- verfasserin (DE-588)123130999 (DE-627)082365156 (DE-576)183804082 aut Enthalten in Experimental economics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1998 26(2023), 2 vom: Apr., Seite 357-382 Online-Ressource (DE-627)320528286 (DE-600)2015444-6 (DE-576)105357243 1573-6938 nnns volume:26 year:2023 number:2 month:04 pages:357-382 https://link.springer.com/content/pdf/10.1007/s10683-022-09773-8.pdf?pdf=button Verlag kostenfrei https://doi.org/10.1007/s10683-022-09773-8 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 26 2023 2 4 357-382 26 01 0206 431919294X x1z 08-05-23 2403 01 DE-LFER 4331336751 00 --%%-- --%%-- n --%%-- l01 12-06-23 2403 01 DE-LFER https://doi.org/10.1007/s10683-022-09773-8 2403 01 DE-LFER https://link.springer.com/content/pdf/10.1007/s10683-022-09773-8.pdf?pdf=button 26 00 DE-206 An important issue for many economic experiments is how the experimenter can ensure sufficient power in order to reject one or more hypotheses. The paper illustrates how methods for testing multiple hypotheses simultaneously in adaptive, two-stage designs can be used to improve the power of economic experiments. We provide a concise overview of the relevant theory and illustrate the method in three different applications. These include a simulation study of a hypothetical experimental design, as well as illustrations using two data sets from previous experiments. The simulation results highlight the potential for sample size reductions, maintaining the power to reject at least one hypothesis while ensuring strong control of the overall Type I error probability.
allfields_unstemmed	10.1007/s10683-022-09773-8 doi (DE-627)1844791343 (DE-599)KXP1844791343 (DE-He213)s10683-022-09773-8-e DE-627 ger DE-627 rda eng Jobjörnsson, Sebastian verfasserin aut Improving the statistical power of economic experiments using adaptive designs Sebastian Jobjörnsson, Henning Schaak, Oliver Musshoff, Tim Friede 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Adaptive design (dpeaa)DE-206 Experimental design (dpeaa)DE-206 Family-wise error rate (dpeaa)DE-206 Multiple testing (dpeaa)DE-206 Simulation study (dpeaa)DE-206 Schaak, Henning 1989- verfasserin (DE-588)120340560X (DE-627)1688495134 aut Mußhoff, Oliver verfasserin (DE-588)134081153 (DE-627)560095686 (DE-576)186838042 aut Friede, Tim 1971- verfasserin (DE-588)123130999 (DE-627)082365156 (DE-576)183804082 aut Enthalten in Experimental economics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1998 26(2023), 2 vom: Apr., Seite 357-382 Online-Ressource (DE-627)320528286 (DE-600)2015444-6 (DE-576)105357243 1573-6938 nnns volume:26 year:2023 number:2 month:04 pages:357-382 https://link.springer.com/content/pdf/10.1007/s10683-022-09773-8.pdf?pdf=button Verlag kostenfrei https://doi.org/10.1007/s10683-022-09773-8 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 26 2023 2 4 357-382 26 01 0206 431919294X x1z 08-05-23 2403 01 DE-LFER 4331336751 00 --%%-- --%%-- n --%%-- l01 12-06-23 2403 01 DE-LFER https://doi.org/10.1007/s10683-022-09773-8 2403 01 DE-LFER https://link.springer.com/content/pdf/10.1007/s10683-022-09773-8.pdf?pdf=button 26 00 DE-206 An important issue for many economic experiments is how the experimenter can ensure sufficient power in order to reject one or more hypotheses. The paper illustrates how methods for testing multiple hypotheses simultaneously in adaptive, two-stage designs can be used to improve the power of economic experiments. We provide a concise overview of the relevant theory and illustrate the method in three different applications. These include a simulation study of a hypothetical experimental design, as well as illustrations using two data sets from previous experiments. The simulation results highlight the potential for sample size reductions, maintaining the power to reject at least one hypothesis while ensuring strong control of the overall Type I error probability.
allfieldsGer	10.1007/s10683-022-09773-8 doi (DE-627)1844791343 (DE-599)KXP1844791343 (DE-He213)s10683-022-09773-8-e DE-627 ger DE-627 rda eng Jobjörnsson, Sebastian verfasserin aut Improving the statistical power of economic experiments using adaptive designs Sebastian Jobjörnsson, Henning Schaak, Oliver Musshoff, Tim Friede 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Adaptive design (dpeaa)DE-206 Experimental design (dpeaa)DE-206 Family-wise error rate (dpeaa)DE-206 Multiple testing (dpeaa)DE-206 Simulation study (dpeaa)DE-206 Schaak, Henning 1989- verfasserin (DE-588)120340560X (DE-627)1688495134 aut Mußhoff, Oliver verfasserin (DE-588)134081153 (DE-627)560095686 (DE-576)186838042 aut Friede, Tim 1971- verfasserin (DE-588)123130999 (DE-627)082365156 (DE-576)183804082 aut Enthalten in Experimental economics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1998 26(2023), 2 vom: Apr., Seite 357-382 Online-Ressource (DE-627)320528286 (DE-600)2015444-6 (DE-576)105357243 1573-6938 nnns volume:26 year:2023 number:2 month:04 pages:357-382 https://link.springer.com/content/pdf/10.1007/s10683-022-09773-8.pdf?pdf=button Verlag kostenfrei https://doi.org/10.1007/s10683-022-09773-8 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 26 2023 2 4 357-382 26 01 0206 431919294X x1z 08-05-23 2403 01 DE-LFER 4331336751 00 --%%-- --%%-- n --%%-- l01 12-06-23 2403 01 DE-LFER https://doi.org/10.1007/s10683-022-09773-8 2403 01 DE-LFER https://link.springer.com/content/pdf/10.1007/s10683-022-09773-8.pdf?pdf=button 26 00 DE-206 An important issue for many economic experiments is how the experimenter can ensure sufficient power in order to reject one or more hypotheses. The paper illustrates how methods for testing multiple hypotheses simultaneously in adaptive, two-stage designs can be used to improve the power of economic experiments. We provide a concise overview of the relevant theory and illustrate the method in three different applications. These include a simulation study of a hypothetical experimental design, as well as illustrations using two data sets from previous experiments. The simulation results highlight the potential for sample size reductions, maintaining the power to reject at least one hypothesis while ensuring strong control of the overall Type I error probability.
allfieldsSound	10.1007/s10683-022-09773-8 doi (DE-627)1844791343 (DE-599)KXP1844791343 (DE-He213)s10683-022-09773-8-e DE-627 ger DE-627 rda eng Jobjörnsson, Sebastian verfasserin aut Improving the statistical power of economic experiments using adaptive designs Sebastian Jobjörnsson, Henning Schaak, Oliver Musshoff, Tim Friede 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Adaptive design (dpeaa)DE-206 Experimental design (dpeaa)DE-206 Family-wise error rate (dpeaa)DE-206 Multiple testing (dpeaa)DE-206 Simulation study (dpeaa)DE-206 Schaak, Henning 1989- verfasserin (DE-588)120340560X (DE-627)1688495134 aut Mußhoff, Oliver verfasserin (DE-588)134081153 (DE-627)560095686 (DE-576)186838042 aut Friede, Tim 1971- verfasserin (DE-588)123130999 (DE-627)082365156 (DE-576)183804082 aut Enthalten in Experimental economics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1998 26(2023), 2 vom: Apr., Seite 357-382 Online-Ressource (DE-627)320528286 (DE-600)2015444-6 (DE-576)105357243 1573-6938 nnns volume:26 year:2023 number:2 month:04 pages:357-382 https://link.springer.com/content/pdf/10.1007/s10683-022-09773-8.pdf?pdf=button Verlag kostenfrei https://doi.org/10.1007/s10683-022-09773-8 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 26 2023 2 4 357-382 26 01 0206 431919294X x1z 08-05-23 2403 01 DE-LFER 4331336751 00 --%%-- --%%-- n --%%-- l01 12-06-23 2403 01 DE-LFER https://doi.org/10.1007/s10683-022-09773-8 2403 01 DE-LFER https://link.springer.com/content/pdf/10.1007/s10683-022-09773-8.pdf?pdf=button 26 00 DE-206 An important issue for many economic experiments is how the experimenter can ensure sufficient power in order to reject one or more hypotheses. The paper illustrates how methods for testing multiple hypotheses simultaneously in adaptive, two-stage designs can be used to improve the power of economic experiments. We provide a concise overview of the relevant theory and illustrate the method in three different applications. These include a simulation study of a hypothetical experimental design, as well as illustrations using two data sets from previous experiments. The simulation results highlight the potential for sample size reductions, maintaining the power to reject at least one hypothesis while ensuring strong control of the overall Type I error probability.
language	English
source	Enthalten in Experimental economics 26(2023), 2 vom: Apr., Seite 357-382 volume:26 year:2023 number:2 month:04 pages:357-382
sourceStr	Enthalten in Experimental economics 26(2023), 2 vom: Apr., Seite 357-382 volume:26 year:2023 number:2 month:04 pages:357-382
format_phy_str_mv	Article
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institution	findex.gbv.de
selectbib_iln_str_mv	26@1z 2403@01
topic_facet	Adaptive design Experimental design Family-wise error rate Multiple testing Simulation study
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container_title	Experimental economics
authorswithroles_txt_mv	Jobjörnsson, Sebastian @@aut@@ Schaak, Henning @@aut@@ Mußhoff, Oliver @@aut@@ Friede, Tim @@aut@@
publishDateDaySort_date	2023-04-01T00:00:00Z
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author	Jobjörnsson, Sebastian
spellingShingle	Jobjörnsson, Sebastian misc Adaptive design misc Experimental design misc Family-wise error rate misc Multiple testing misc Simulation study Improving the statistical power of economic experiments using adaptive designs
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topic_title	26 00 DE-206 An important issue for many economic experiments is how the experimenter can ensure sufficient power in order to reject one or more hypotheses. The paper illustrates how methods for testing multiple hypotheses simultaneously in adaptive, two-stage designs can be used to improve the power of economic experiments. We provide a concise overview of the relevant theory and illustrate the method in three different applications. These include a simulation study of a hypothetical experimental design, as well as illustrations using two data sets from previous experiments. The simulation results highlight the potential for sample size reductions, maintaining the power to reject at least one hypothesis while ensuring strong control of the overall Type I error probability Improving the statistical power of economic experiments using adaptive designs Sebastian Jobjörnsson, Henning Schaak, Oliver Musshoff, Tim Friede Adaptive design (dpeaa)DE-206 Experimental design (dpeaa)DE-206 Family-wise error rate (dpeaa)DE-206 Multiple testing (dpeaa)DE-206 Simulation study (dpeaa)DE-206
topic	misc Adaptive design misc Experimental design misc Family-wise error rate misc Multiple testing misc Simulation study
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title	Improving the statistical power of economic experiments using adaptive designs
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title_full	Improving the statistical power of economic experiments using adaptive designs Sebastian Jobjörnsson, Henning Schaak, Oliver Musshoff, Tim Friede
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title_sort	improving the statistical power of economic experiments using adaptive designs
title_auth	Improving the statistical power of economic experiments using adaptive designs
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title_short	Improving the statistical power of economic experiments using adaptive designs
url	https://link.springer.com/content/pdf/10.1007/s10683-022-09773-8.pdf?pdf=button https://doi.org/10.1007/s10683-022-09773-8
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doi_str	10.1007/s10683-022-09773-8
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up_date	2024-07-04T20:15:59.078Z
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The paper illustrates how methods for testing multiple hypotheses simultaneously in adaptive, two-stage designs can be used to improve the power of economic experiments. We provide a concise overview of the relevant theory and illustrate the method in three different applications. These include a simulation study of a hypothetical experimental design, as well as illustrations using two data sets from previous experiments. The simulation results highlight the potential for sample size reductions, maintaining the power to reject at least one hypothesis while ensuring strong control of the overall Type I error probability.</subfield></datafield></record></collection>
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