The probability of conceptual replication and the variability of effect size
We present a model, related to an earlier model of Miller and Schwarz (2011), which shows that the probability of conceptual replication depends on the standard deviation of the true effect size, SD(δ), among other parameters. Computational analyses show that the dependency is more pronounced for sm...
Ausführliche Beschreibung
Autor*in: |
Matt Ward [verfasserIn] Simon Kemp [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Übergeordnetes Werk: |
In: Methods in Psychology - Elsevier, 2021, 1(2019), Seite 100002- |
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Übergeordnetes Werk: |
volume:1 ; year:2019 ; pages:100002- |
Links: |
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DOI / URN: |
10.1016/j.metip.2019.100002 |
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Katalog-ID: |
DOAJ069063699 |
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520 | |a We present a model, related to an earlier model of Miller and Schwarz (2011), which shows that the probability of conceptual replication depends on the standard deviation of the true effect size, SD(δ), among other parameters. Computational analyses show that the dependency is more pronounced for smaller sample sizes. A sample of 50 meta-analyses is also investigated to obtain estimates of SD(δ), which turn out to be often in the range 0.2–0.5. Putting these two sets of results together indicates that the probability of conceptual replication is likely to vary for the range of SD(δ) often found in psychology, especially for smaller samples. The results can also be used to obtain approximate estimates of how the probability of replication is changed for typical SD(δ)in psychology. | ||
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10.1016/j.metip.2019.100002 doi (DE-627)DOAJ069063699 (DE-599)DOAJ1c2482a3363f487283c1cdff1c9f802d DE-627 ger DE-627 rakwb eng BF1-990 Matt Ward verfasserin aut The probability of conceptual replication and the variability of effect size 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We present a model, related to an earlier model of Miller and Schwarz (2011), which shows that the probability of conceptual replication depends on the standard deviation of the true effect size, SD(δ), among other parameters. Computational analyses show that the dependency is more pronounced for smaller sample sizes. A sample of 50 meta-analyses is also investigated to obtain estimates of SD(δ), which turn out to be often in the range 0.2–0.5. Putting these two sets of results together indicates that the probability of conceptual replication is likely to vary for the range of SD(δ) often found in psychology, especially for smaller samples. The results can also be used to obtain approximate estimates of how the probability of replication is changed for typical SD(δ)in psychology. Replication probability Effect size Variability of effect size Psychology Simon Kemp verfasserin aut In Methods in Psychology Elsevier, 2021 1(2019), Seite 100002- (DE-627)1689632550 25902601 nnns volume:1 year:2019 pages:100002- https://doi.org/10.1016/j.metip.2019.100002 kostenfrei https://doaj.org/article/1c2482a3363f487283c1cdff1c9f802d kostenfrei http://www.sciencedirect.com/science/article/pii/S2590260119300025 kostenfrei https://doaj.org/toc/2590-2601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 1 2019 100002- |
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10.1016/j.metip.2019.100002 doi (DE-627)DOAJ069063699 (DE-599)DOAJ1c2482a3363f487283c1cdff1c9f802d DE-627 ger DE-627 rakwb eng BF1-990 Matt Ward verfasserin aut The probability of conceptual replication and the variability of effect size 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We present a model, related to an earlier model of Miller and Schwarz (2011), which shows that the probability of conceptual replication depends on the standard deviation of the true effect size, SD(δ), among other parameters. Computational analyses show that the dependency is more pronounced for smaller sample sizes. A sample of 50 meta-analyses is also investigated to obtain estimates of SD(δ), which turn out to be often in the range 0.2–0.5. Putting these two sets of results together indicates that the probability of conceptual replication is likely to vary for the range of SD(δ) often found in psychology, especially for smaller samples. The results can also be used to obtain approximate estimates of how the probability of replication is changed for typical SD(δ)in psychology. Replication probability Effect size Variability of effect size Psychology Simon Kemp verfasserin aut In Methods in Psychology Elsevier, 2021 1(2019), Seite 100002- (DE-627)1689632550 25902601 nnns volume:1 year:2019 pages:100002- https://doi.org/10.1016/j.metip.2019.100002 kostenfrei https://doaj.org/article/1c2482a3363f487283c1cdff1c9f802d kostenfrei http://www.sciencedirect.com/science/article/pii/S2590260119300025 kostenfrei https://doaj.org/toc/2590-2601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 1 2019 100002- |
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10.1016/j.metip.2019.100002 doi (DE-627)DOAJ069063699 (DE-599)DOAJ1c2482a3363f487283c1cdff1c9f802d DE-627 ger DE-627 rakwb eng BF1-990 Matt Ward verfasserin aut The probability of conceptual replication and the variability of effect size 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We present a model, related to an earlier model of Miller and Schwarz (2011), which shows that the probability of conceptual replication depends on the standard deviation of the true effect size, SD(δ), among other parameters. Computational analyses show that the dependency is more pronounced for smaller sample sizes. A sample of 50 meta-analyses is also investigated to obtain estimates of SD(δ), which turn out to be often in the range 0.2–0.5. Putting these two sets of results together indicates that the probability of conceptual replication is likely to vary for the range of SD(δ) often found in psychology, especially for smaller samples. The results can also be used to obtain approximate estimates of how the probability of replication is changed for typical SD(δ)in psychology. Replication probability Effect size Variability of effect size Psychology Simon Kemp verfasserin aut In Methods in Psychology Elsevier, 2021 1(2019), Seite 100002- (DE-627)1689632550 25902601 nnns volume:1 year:2019 pages:100002- https://doi.org/10.1016/j.metip.2019.100002 kostenfrei https://doaj.org/article/1c2482a3363f487283c1cdff1c9f802d kostenfrei http://www.sciencedirect.com/science/article/pii/S2590260119300025 kostenfrei https://doaj.org/toc/2590-2601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 1 2019 100002- |
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The probability of conceptual replication and the variability of effect size |
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The probability of conceptual replication and the variability of effect size |
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The probability of conceptual replication and the variability of effect size |
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We present a model, related to an earlier model of Miller and Schwarz (2011), which shows that the probability of conceptual replication depends on the standard deviation of the true effect size, SD(δ), among other parameters. Computational analyses show that the dependency is more pronounced for smaller sample sizes. A sample of 50 meta-analyses is also investigated to obtain estimates of SD(δ), which turn out to be often in the range 0.2–0.5. Putting these two sets of results together indicates that the probability of conceptual replication is likely to vary for the range of SD(δ) often found in psychology, especially for smaller samples. The results can also be used to obtain approximate estimates of how the probability of replication is changed for typical SD(δ)in psychology. |
abstractGer |
We present a model, related to an earlier model of Miller and Schwarz (2011), which shows that the probability of conceptual replication depends on the standard deviation of the true effect size, SD(δ), among other parameters. Computational analyses show that the dependency is more pronounced for smaller sample sizes. A sample of 50 meta-analyses is also investigated to obtain estimates of SD(δ), which turn out to be often in the range 0.2–0.5. Putting these two sets of results together indicates that the probability of conceptual replication is likely to vary for the range of SD(δ) often found in psychology, especially for smaller samples. The results can also be used to obtain approximate estimates of how the probability of replication is changed for typical SD(δ)in psychology. |
abstract_unstemmed |
We present a model, related to an earlier model of Miller and Schwarz (2011), which shows that the probability of conceptual replication depends on the standard deviation of the true effect size, SD(δ), among other parameters. Computational analyses show that the dependency is more pronounced for smaller sample sizes. A sample of 50 meta-analyses is also investigated to obtain estimates of SD(δ), which turn out to be often in the range 0.2–0.5. Putting these two sets of results together indicates that the probability of conceptual replication is likely to vary for the range of SD(δ) often found in psychology, especially for smaller samples. The results can also be used to obtain approximate estimates of how the probability of replication is changed for typical SD(δ)in psychology. |
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The probability of conceptual replication and the variability of effect size |
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