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Methods matter : p-gacking and causal inference in economics
Brodeur, Abel; Cook, Nikolai; Heyes, Anthony - 2018
Persistent link: https://www.econbiz.de/10011898505
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Methods matter : p-hacking and causal inference in economics
Brodeur, Abel; Cook, Nikolai; Heyes, Anthony - 2018
The economics 'credibility revolution' has promoted the identification of causal relationships using difference-in-differences (DID), instrumental variables (IV), randomized control trials (RCT) and regression discontinuity design (RDD) methods. The extent to which a reader should trust claims...
Persistent link: https://www.econbiz.de/10011906306
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Is there evidence for export-led adoption of ISO 14001? : a review of the literature using meta-regression
Liston-Heyes, Catherine; Heyes, Anthony - In: Business & society 60 (2021) 3, pp. 764-805
Persistent link: https://www.econbiz.de/10012427011
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We need to talk about mechanical turk : what 22,989 hypothesis tests tell us about p-hacking and publication bias in online experiments
Brodeur, Abel; Cook, Nikolai; Heyes, Anthony - 2022
Amazon's Mechanical Turk is a very widely-used tool in business and economics research, but how trustworthy are results from well-published studies that use it? Analyzing the universe of hypotheses tested on the platform and published in leading journals between 2010 and 2020 we find evidence of...
Persistent link: https://www.econbiz.de/10013448126
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We need to talk about Mechanical Turk : what 22,989 hypothesis tests tell us about p-hacking and publication bias in online experiments
Brodeur, Abel; Cook, Nikolai; Heyes, Anthony - 2022
Amazon's Mechanical Turk is a very widely-used tool in business and economics research, but how trustworthy are results from well-published studies that use it? Analyzing the universe of hypotheses tested on the platform and published in leading journals between 2010 and 2020 we find evidence of...
Persistent link: https://www.econbiz.de/10013357949
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Do pre-registration and pre-analysis plans reduce p-hacking and publication bias?
Brodeur, Abel; Cook, Nikolai; Hartley, Jonathan S.; … - 2022
Randomized controlled trials (RCTs) are increasingly prominent in economics, with pre-registration and pre-analysis plans (PAPs) promoted as important in ensuring the credibility of findings. We investigate whether these tools reduce the extent of p-hacking and publication bias by collecting and...
Persistent link: https://www.econbiz.de/10013343284
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We need to talk about Mechanical Turk : what 22,989 hypothesis tests tell us about publication bias and p-hacking in online experiments
Brodeur, Abel; Cook, Nikolai; Heyes, Anthony - 2022
Amazon Mechanical Turk is a very widely-used tool in business and economics research, but how trustworthy are results from well-published studies that use it? Analyzing the universe of hypotheses tested on the platform and published in leading journals between 2010 and 2020 we find evidence of...
Persistent link: https://www.econbiz.de/10013343304
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We need to talk about mechanical turk : what 22,989 hypothesis tests tell us about publication bias and p-hacking in online experiments
Brodeur, Abel; Cook, Nikolai; Heyes, Anthony - 2022
Persistent link: https://www.econbiz.de/10013348271
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We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell us about p-Hacking and Publication Bias in Online Experiments
Brodeur, Abel; Cook, Nikolai; Heyes, Anthony - 2022
Amazon's Mechanical Turk is a very widely-used tool in business and economics research, but how trustworthy are results from well-published studies that use it? Analyzing the universe of hypotheses tested on the platform and published in leading journals between 2010 and 2020 we find evidence of...
Persistent link: https://www.econbiz.de/10013348127
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Do Pre-registration and Pre-analysis Plans Reduce P-Hacking and Publication Bias?
Brodeur, Abel; Cook, Nikolai; Hartley, Jonathan S.; … - 2022
Randomized controlled trials (RCTs) are increasingly prominent in economics, with pre-registration and pre-analysis plans (PAPs) promoted as important in ensuring the credibility of findings. We investigate whether these tools reduce the extent of p-hacking and publication bias by collecting and...
Persistent link: https://www.econbiz.de/10013426325