Minimizing Bias in Experimental Design and Execution
Investigations into the lack of reproducibility in preclinical research often identify unintended biases in experimental planning and execution. This webinar – the second in SfN's series Promoting Awareness and Knowledge to Enhance Scientific Rigor in Neuroscience – will cover random sampling, blinding, and balancing experiments to avoid sources of bias.
Webinar attendees will leave the session understanding:
- Different sources of bias and how they can influence experimental design, data collection, and reporting
- Best practices for minimizing bias in experimental procedures, including: blinding; systematic random sampling; inclusion of positive and negative controls; and methods of quality control for reliability and reproducibility
- How biases can affect rigorous implementation of the scientific method and considerations for unbiased hypothesis testing
This training module is supported by Grant Number 1R25DA041326-01 from the National Institute on Drug Abuse (NIDA). The original contents of this module are solely the responsibility of SfN and do not necessarily reflect the official views of NIDA.