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Stepping in the Same River TwiceReplication in Biological Research$
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Ayelet Shavit and Aaron M Ellison

Print publication date: 2017

Print ISBN-13: 9780300209549

Published to Yale Scholarship Online: September 2017

DOI: 10.12987/yale/9780300209549.001.0001

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Best Practices for Creating Replicable Research

Best Practices for Creating Replicable Research

(p.250) Chapter Seventeen Best Practices for Creating Replicable Research
Stepping in the Same River Twice

Aaron M. Ellison

Yale University Press

This chapter suggests a series of best practices for creating replicable research that cross disciplinary boundaries. First, the observational or experimental design should account for variation within and among sites, whether in the field or in the laboratory. Second, the acceptable levels of Type I and Type II statistical errors should be set before the project begins. Third, investigators should carefully and quantitatively review the literature and/or do a pilot study to determine the expected effect size (e.g., the expected relationship(s) between two or more variables of interest or the difference in outcome between experimental treatments and controls) and its variance. Finally, there should be a clear assessment of resources available.

Keywords:   best practices, research replication, reproducibility, experimental design, statistical errors, pilot study

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