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Sampling Bias: Types, Examples & How to Avoid It

simplypsychology.org · 2,041 words · saved by 1 readers

Julia Simkus is a graduate of Princeton University with a Bachelor of Arts in Psychology. She is currently studying for a Master's Degree in Counseling for Mental Health and Wellness in September 2023. Julia's research has been published in peer reviewed journals. Learn about our Editorial Process Saul Mcleod, PhD Editor-in-Chief for Simply Psychology BSc (Hons) Psychology, MRes, PhD, University of Manchester Saul Mcleod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology. Learn about our Editorial Process Olivia Guy-Evans, MSc Associate Editor for Simply Psychology BSc (Hons) Psychology, MSc Psychology of Education Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors. Learn about our Editorial Process On This Page: Sampling bias occurs when a sample does n

Sampling bias occurs when a sample does not accurately represent the population being studied. This can happen when there are systematic errors in the sampling process, leading to over-representation or under-representation of certain groups within the sample. Sampling bias results in biased samples of a population where all individuals were not equally likely to have been selected and thus do not accurately represent the entire group. Sampling bias compromises the external validity of findings by failing to accurately represent the population, restricting the generalization of results only to

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