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University of GroningenLarge Sample Size Fallacy in Trials About Antipsychotics for Neuropsychiatric Symptoms in Dementia Hudson, Tessa A; Idea, System U; Janus, Sarah I M; Luijendijk, Hendrik J Published

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What is large sample size fallacy?

The large sample size fallacy is the false belief that a large sample size guarantees accurate and reliable results.

Who is required to file large sample size fallacy?

Researchers and analysts who conduct studies or experiments with the use of large sample sizes are required to be aware of and avoid the large sample size fallacy.

How to fill out large sample size fallacy?

To avoid the large sample size fallacy, researchers should critically analyze their data and results to ensure they are not overestimating the accuracy of their findings.

What is the purpose of large sample size fallacy?

The purpose of understanding and avoiding the large sample size fallacy is to ensure that research findings are truly reliable and valid.

What information must be reported on large sample size fallacy?

Researchers must report the sample size used in their studies, as well as any potential biases or limitations in their sample selection process.

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