Reproducibility in the absence of selective reporting: An illustration from large-scale brain asymmetry research.
Reproducibility in the absence of selective reporting: An illustration from large-scale brain asymmetry research.
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DOI:
10.1002/hbm.25154
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发表时间:
2022-01
影响因子:
4.8
通讯作者:
Francks C
中科院分区:
文献类型:
--
作者:
Kong XZ;ENIGMA Laterality Working Group;Francks C
The problem of poor reproducibility of scientific findings has received much attention over recent years, in a variety of fields including psychology and neuroscience. The problem has been partly attributed to publication bias and unwanted practices such as p‐hacking. Low statistical power in individual studies is also understood to be an important factor. In a recent multisite collaborative study, we mapped brain anatomical left–right asymmetries for regional measures of surface area and cortical thickness, in 99 MRI datasets from around the world, for a total of over 17,000 participants. In the present study, we revisited these hemispheric effects from the perspective of reproducibility. Within each dataset, we considered that an effect had been reproduced when it matched the meta‐analytic effect from the 98 other datasets, in terms of effect direction and significance threshold. In this sense, the results within each dataset were viewed as coming from separate studies in an “ideal publishing environment,” that is, free from selective reporting and p hacking. We found an average reproducibility rate of 63.2% (SD = 22.9%, min = 22.2%, max = 97.0%). As expected, reproducibility was higher for larger effects and in larger datasets. Reproducibility was not obviously related to the age of participants, scanner field strength, FreeSurfer software version, cortical regional measurement reliability, or regional size. These findings constitute an empirical illustration of reproducibility in the absence of publication bias or p hacking, when assessing realistic biological effects in heterogeneous neuroscience data, and given typically‐used sample sizes. Region‐wise effect sizes and reproducibility rates of hemispheric asymmetry effects. In general, effects with higher effect sizes showed higher reproducibility, given the same conditions (e.g., sample size and data heterogeneity).
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DOI:
10.1126/science.aab2374
发表时间:
2015-06-26
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Nosek BA;Alter G;Banks GC;Borsboom D;Bowman SD;Breckler SJ;Buck S;Chambers CD;Chin G;Christensen G;Contestabile M;Dafoe A;Eich E;Freese J;Glennerster R;Goroff D;Green DP;Hesse B;Humphreys M;Ishiyama J;Karlan D;Kraut A;Lupia A;Mabry P;Madon TA;Malhotra N;Mayo-Wilson E;McNutt M;Miguel E;Paluck EL;Simonsohn U;Soderberg C;Spellman BA;Turitto J;VandenBos G;Vazire S;Wagenmakers EJ;Wilson R;Yarkoni T
通讯作者:
Yarkoni T
影响因子:
4.8
作者:
Iscan Z;Jin TB;Kendrick A;Szeglin B;Lu H;Trivedi M;Fava M;McGrath PJ;Weissman M;Kurian BT;Adams P;Weyandt S;Toups M;Carmody T;McInnis M;Cusin C;Cooper C;Oquendo MA;Parsey RV;DeLorenzo C
通讯作者:
DeLorenzo C
影响因子:
3.5
作者:
Pauli R;Bowring A;Reynolds R;Chen G;Nichols TE;Maumet C
通讯作者:
Maumet C
影响因子:
1.8
作者:
Klein, Richard A.;Ratliff, Kate A.;Nosek, Brian A.
通讯作者:
Nosek, Brian A.
影响因子:
15.8
作者:
Ioannidis, JPA
通讯作者:
Ioannidis, JPA