Non-differential bias occurs when the chance of bias is not affected by the group the individuals belong to. Measurement error and misclassification bias are common examples of non-differential bias. An example of measurement error may be seen if the scales used in a study are not correctly calibrated, resulting in the incorrect recording of the weight of all animals sampled. As this form of bias affects both exposed and unexposed (or diseased and non-diseased, depending on the study type) similarly, it will reduce the strength of any associations present, and will increase the probability of a [[Random variation#Hypothesis testing and study power|type II error]].
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Non-differential bias occurs when the chance of bias is not affected by the group the individuals belong to. Measurement error and misclassification bias are common examples of non-differential bias. An example of measurement error may be seen if the scales used in a study are not correctly calibrated, resulting in the incorrect recording of the weight of all animals sampled. As this form of bias affects both exposed and unexposed (or diseased and non-diseased, depending on the study type) similarly, it will reduce the strength of any associations present, and will increase the probability of a [[Random error#Hypothesis testing and study power|type II error]].