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De Los Reyes and Kazdin [ 1] showed how the mathematical properties of the three measures of informant discrepancies can lead to different conclusions, depending on the differences between variances of informants' ratings or the correlation between them.
After analysing the samples, they not only disagreed with one another but also came to different conclusions depending on whether they had information about the case, or whether they had nothing to go on but the genetic data.
Itiel Dror, a psychologist at University College London, found that forensic fingerprint examiners could come to different conclusions depending on what they knew about the case.
It makes me wonder if anything is definitive if you can present two similar sets of data and draw wildly different conclusions, depending on your emphasis.
Individuals have preconceived notions developed from their experiences and knowledge they have acquired from the world around them. Conclusions individuals infer from scientific concepts vary because each person's experiences with scientific phenomena are different resulting in different conclusions depending on whether this person is or is not a scientist (e.g., Baum et al. [2005]).
Although there is some agreement on the statement above, the empirical evidence is still not robust, as different studies come to different conclusions, depending on the host countries being studied, the composition of immigrants, but most importantly, the statistical strategies and data each researcher uses to handle the research question.
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Statistical analyses often involve several subjective decisions about which data to include and which tests to use, producing potentially different results and conclusions depending on the decisions taken. 1 2 3 4 5 6 7 Methods of analysis that are chosen or altered after preliminary examination of the data can introduce bias if a subset of favourable results is then reported in the publication.
However, such conclusions depend on the definition of substorm onset.
CONCLUSION: Depending on definitions used, overall and provider-specific blood pressure control rates can vary considerably.
Does the choice of one or the other conclusion depend on how digital literacy is defined?
The study suggest that crystallization is possiblewith the condition of (conclusion depends on assay results).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com