oversample
- noun
- /ˈoʊvərˌsæmpl/
- Specialized
- Study-specific poststratification weights included adjustments to account for the oversamples of Blacks and Hispanics and for nonresponse.
Examples
-
Of the 403 respondents in the Black oversample, 40% were male and 60% were female.
Academic text (1999) -
The sample consists of two parts: a cross-sectional sample and an oversample of Blacks and Hispanics.
Academic text (1999) -
Most of the military oversample was dropped from the survey after 1984, and the low-income white oversample was dropped after 1990.
Academic text (2017) -
The oversample of minority children to reach an appropriate number of African American and Latino children in a predominantly white state was a plus.
Academic text (2012) -
An additional oversample of 403 individuals who described their own race or ethnicity as Black or African American was also recruited.
Academic text (1999) -
The survey also included a supplemental oversample targeting the Asian subpopulation, which was designed to support more precise estimates for the Asian population of the United States.
Academic text (2006) -
We invited a random sample of 2,498 adults aged 18 years or older to participate (including oversamples of Blacks and Hispanics).
Academic text (2011) -
This yielded a total of 3,432 completed interviews, 3,159 of which were from the cross-sectional sample, with the remaining 273 from the oversample.
Academic text (1999) -
Interviews were completed with 403 (369 totally completed, 34 partially completed), yielding a response rate for the oversample of 63.1%.
Academic text (1999) -
In the recent study, researchers conducted an oversample of 500 respondents to ensure accurate representation of minority groups.
Synonyms
Selecting more people from a small group in a study to get better data about them
Surface Forms
Morphology
Etymology
Oversample comes from the parts over meaning 'more than usual' and sample meaning 'a small part or example'. So an oversample is an extra set of observations — extra examples taken to make a small group show up more clearly and to make study results more accurate.