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US behavioural researchers have been handed a dubious distinction — they are more likely than their colleagues in other parts of the world to exaggerate findings, according to a study published today.
The research highlights the importance of unconscious biases that might affect research integrity, says Brian Martinson, a social scientist at the HealthPartners Institute for Education and Research in Minneapolis, Minnesota, who was not involved with the study.
“The take-home here is that the ‘bad guy/good guy’ narrative — the idea that we only need to worry about the monsters out there who are making up data — is naive,” Martinson says.
The study, published in Proceedings of the National Academy of Sciences, was conducted by John Ioannidis, a physician at Stanford University in California, and Daniele Fanelli, an evolutionary biologist at the University of Edinburgh, UK. The pair examined 82 meta-analyses in genetics and psychiatry that collectively combined results from 1,174 individual studies. The researchers compared meta-analyses of studies based on non-behavioural parameters, such as physiological measurements, to those based on behavioural parameters, such as progression...
The research highlights the importance of unconscious biases that might affect research integrity, says Brian Martinson, a social scientist at the HealthPartners Institute for Education and Research in Minneapolis, Minnesota, who was not involved with the study.
“The take-home here is that the ‘bad guy/good guy’ narrative — the idea that we only need to worry about the monsters out there who are making up data — is naive,” Martinson says.
The study, published in Proceedings of the National Academy of Sciences, was conducted by John Ioannidis, a physician at Stanford University in California, and Daniele Fanelli, an evolutionary biologist at the University of Edinburgh, UK. The pair examined 82 meta-analyses in genetics and psychiatry that collectively combined results from 1,174 individual studies. The researchers compared meta-analyses of studies based on non-behavioural parameters, such as physiological measurements, to those based on behavioural parameters, such as progression...