26
Sep
Selection bias is a distortion in measurement introduced by the selection of groups, data, or individuals for analysis. It affects your study's internal and external legitimacies as it generates false equivalence in your data. It may lead you to perceive the non-existing interactions between variables. Selection bias can be either positive or negative, and the best way to avoid selection bias is randomization. It leads to a false estimation of the connection between variables. The common cause of selection bias is when one fails to address the characteristics of frequent subgroups within the population of interest. Thus, this may form…