AI Article Synopsis
- Some researchers acknowledge the existence of cage effects in experiments, while others either overlook or remain unaware of them, yet they can significantly impact results.
- The text defines cage effects and illustrates their influence using a completely randomized design (CRD) in animal research.
- It highlights the issue of inflated statistical significance when cage effects are not considered and offers guidance on proper analysis to improve statistical power in CRDs.
Article Abstract
Cage effects: some researchers worry about them, some don't, and some aren't even aware of them. When statistical analyses do account for cage effects, there is real reason to worry. Regardless of researchers' worries or lack thereof, all researchers should be aware of cage effects can affect the results. The "how" depends, in part, on the experimental design. Here, I (a) define cage effects; (b) illustrate a completely randomized design (CRD) often used in animal experiments; (c) explain how statistical significance is artificially inflated when cage effects are ignored and (d) give guidance on proper analyses and on how to increase statistical power in CRDs.
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| http://dx.doi.org/10.1177/00236772241276785 | DOI Listing |
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