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Occurs when studies with statistically significant results are more likely to be published than studies with...

Occurs when studies with statistically significant results are more likely to be published than studies with results close to the null.

-confounding

-validity

-generalization

-publication bias

-selection bias

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Answer #1

-Confounding : "Mixing of effects".That is an additional factor is mixed up with the factor under study.

-Validity : If an instrument measures what we want to measure,then that instrument is valid.

Eg:Thermometer is valid for measuring temperature but not sphigmomanometer.

-Generalization : It is a form of abstraction.Common features of specific example is formulated as a general statement.

-Publication bias : Occurs when studies with statistically significant results are more likely to be published than studies with results close to the null.

-Selection bias : Error in the selection process mainly due to improper randomization.so,the sample taken will not be a representative of population.

Answer : Publication bias

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