Null result

Source: Wikipedia, the free encyclopedia.

In science, a null result is a result without the expected content: that is, the proposed result is absent.[1] It is an experimental outcome which does not show an otherwise expected effect. This does not imply a result of zero or nothing, simply a result that does not support the hypothesis.

In

significance level, i.e., the threshold set prior to testing for rejection of the null hypothesis. The significance level varies, but common choices include 0.10, 0.05, and 0.01.[2] However, a non-significant result does not necessarily mean that an effect is absent.[3][4][5][6]

As an example in physics, the results of the Michelson–Morley experiment were of this type, as it did not detect the expected velocity relative to the postulated luminiferous aether. This experiment's famous failed detection, commonly referred to as the null result, contributed to the development of special relativity. The experiment did appear to measure a non-zero "drift", but the value was far too small to account for the theoretically expected results; it is generally thought to be inside the noise level of the experiment.[7]

Publishing bias

Despite similar quality of execution and design,[8] papers with statistically significant results are three times more likely to be published than those with null results.[9] This unduly motivates researchers to manipulate their practices to ensure statistically significant results, such as by data dredging.[10]

Many factors contribute to publication bias.

non-response bias. Investigators may also assume they made a mistake, find that the null result fails to support a known finding, lose interest in the topic, or anticipate that others will be uninterested in the null results.[8]

There are several scientific journals dedicated to the publication of negative or null results, including the following:

While it is not exclusively dedicated to publishing negative results, BMC Research Notes also publishes negative results in the form of research or data notes.

See also

References

  1. S2CID 14948954
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  2. ISBN 0-534-24312-6
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  3. PMID 28736600
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  4. ISSN 0092-5853
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  5. ISSN 0092-5853
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  6. ISSN 0092-5853
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  7. ^ "Role of the Michelson-Morley experiments in making determinations about competing theories". Archived from the original on 2012-11-07. Retrieved 2003-07-17.
  8. ^
    S2CID 36570135
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  9. PMID 3442991
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  10. doi:10.31273/reinvention.v12i2.339
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  11. ^ H. Rothstein, A. J. Sutton and M. Borenstein. (2005). Publication bias in meta-analysis: prevention, assessment and adjustments. Wiley. Chichester, England; Hoboken, NJ.
  12. ISSN 0013-0133
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  13. PMID 22342262
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