The big question is, “what is the impact of selection bias in your study?” Read: Research Bias: Definition, Types + Examples What are the Effects of Selection Bias? It can also occur as a result of factors that influence the continued participation of subjects in a study. For example, if the researcher uses the wrong criteria for selecting the sample population, they might record several instances of selection bias. There are several reasons why selection bias occurs in research. This results in fundamental differences between the variables selected for the sample data and the actual target population of the systematic investigation. This “selection effect” happens when you fail to achieve proper randomization in your research sample.Ī common cause of selection bias is when the researcher fails to account for the characteristics of several subgroups within the population of interest. In other words, selection bias is a distortion in the measure of association that occurs when the participants’ pool of your systematic investigation is not representative of the target population. When we say selection bias, we refer to experimental errors that result in the misrepresentation or underrepresentation of your population of interest in research. In this article, we’ll discuss all of that to help you improve your data collection process. To grapple with the effects of selection bias, you need to understand how it works, its common effects, and the best ways to minimize it. ![]() ![]() Selection bias happens when the research sample fails to represent the population of interest, leading to variations in the research outcomes. While there are many reasons for this, the most prominent of them is selection bias. More often than not, researchers struggle with outcomes that are inconsistent with the realities of the target population.
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