Statistics How To

Target Population: Definition, Examples

Statistics Definitions >

target population sampling

Your target population is the group you want to know more about.

Target population is an informal term used mostly in epidemiology. It’s general defined to mean a group or set of elements that you want to know more information about.

Most of the time, “target population” and “population” are synonymous. However, adding the word target emphasizes that sometimes we miss the mark in sampling, and don’t always hit the mark: samples can be unrepresentative of the population that you originally intended to sample. For example, you might want to survey all the hospitalized adults in the United States (the target population), but budget constraints limit your survey to hospital patients just four cities in the U.S. The sampled population and targeted population in this scenario are likely to be quite different.

Target Population Units

In some areas like regression analysis in epidemiology, it’s especially important to identify the target population. While data analysis in the sciences always includes the correct units (e.g. was time measured in seconds, decades, or light years?), specific information about the population is left out. For example, let’s say you’re target population is people living in the United States: are you including just citizens? Resident aliens? Refugees? If you run a regression involving people without specifying exactly who the target population is, it leads to “hopeless ambiguity” (Rothman et. al, 2008)

References

Gail, M. & Benichou, J. (2000). Encyclopedia of Epidemiologic Methods. John Wiley and Sons.
Rothman, et al. (Eds.) (2008). Modern Epidemiology. Lippincott Williams & Wilkins.

------------------------------------------------------------------------------

Need help with a homework or test question? With Chegg Study, you can get step-by-step solutions to your questions from an expert in the field. Your first 30 minutes with a Chegg tutor is free!

Statistical concepts explained visually - Includes many concepts such as sample size, hypothesis tests, or logistic regression, explained by Stephanie Glen, founder of StatisticsHowTo.

Comments? Need to post a correction? Please post a comment on our Facebook page.

Check out our updated Privacy policy and Cookie Policy