Protecting against researcher bias in secondary data analysis: challenges and potential solutions.
Protecting against researcher bias in secondary data analysis: challenges and potential solutions.
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DOI:
10.1007/s10654-021-00839-0
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发表时间:
2022-01
影响因子:
13.6
通讯作者:
Munafò MR
中科院分区:
文献类型:
--
作者:
Baldwin JR;Pingault JB;Schoeler T;Sallis HM;Munafò MR
Analysis of secondary data sources (such as cohort studies, survey data, and administrative records) has the potential to provide answers to science and society’s most pressing questions. However, researcher biases can lead to questionable research practices in secondary data analysis, which can distort the evidence base. While pre-registration can help to protect against researcher biases, it presents challenges for secondary data analysis. In this article, we describe these challenges and propose novel solutions and alternative approaches. Proposed solutions include approaches to (1) address bias linked to prior knowledge of the data, (2) enable pre-registration of non-hypothesis-driven research, (3) help ensure that pre-registered analyses will be appropriate for the data, and (4) address difficulties arising from reduced analytic flexibility in pre-registration. For each solution, we provide guidance on implementation for researchers and data guardians. The adoption of these practices can help to protect against researcher bias in secondary data analysis, to improve the robustness of research based on existing data.
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影响因子:
22.4
作者:
GREENWALD, AG
通讯作者:
GREENWALD, AG
影响因子:
1.7
作者:
Bishop, Dorothy V. M.
通讯作者:
Bishop, Dorothy V. M.
DOI:
10.1177/2515245918770963
发表时间:
2018-06-01
影响因子:
13.6
作者:
Lakens, Daniel;Scheel, Anne M.;Isager, Peder M.
通讯作者:
Isager, Peder M.
DOI:
10.1207/s15327957pspr0203_4
发表时间:
1998-01-01
期刊:
Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc
影响因子:
--
作者:
Kerr, N L
通讯作者:
Kerr, N L
影响因子:
3.7
作者:
Kaplan, Robert M.;Irvin, Veronica L.
通讯作者:
Irvin, Veronica L.