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In academic and government survey research, probability sampling is a standard procedure.
These various ways of probability sampling have two things in common:
A probability sample is one in which all members of the population have a known and equal chance of being selected.
Probability sampling is now the accepted method of scientific sampling.
Many surveys are not based on a probability samples, but rather by finding a suitable collection of respondents to complete the survey.
He and colleagues at Michigan carried out a probability sample of fewer than 1,000 American households.
Twelve-step groups, like AA, are not conducive to probability sampling of members.
It measures democratic values and behaviors in the Americas using national probability samples of voting-age adults.
Adjusted jackknife for imputation under unequal probability sampling without replacement.
To this end, they examined survey data on national and local issues from probability samples of 16 Minnesota communities gathered between 1969 and 1975.
A survey based on a probability sample can in theory produce statistical measurements of the target population that are:
Further developments, such as unequal probability sampling, arose.
A national probability sample of households.
Conceptually, simple random sampling is the simplest of the probability sampling techniques.
The People Meter sample uses a multistage, area probability sample.
The fact that her data are not probability samples raises concerns about whether the sample data can be generalized to relevant populations.
The panel is based on a true probability sample of households drawn from the population register by Statistics Netherlands.
Both surveys utilize multistage probability sampling procedures, enabling the generation of nationally representative estimates.
A jackknife variance estimator for unequal probability sampling.
Surveys that are not based on probability sampling have greater difficulty measuring their bias or sampling error.
Because the survey presented the opinions of a select group of scientists, the technique of probability sampling was not used.
Performing nonprobability sampling can be considerably less expensive than doing probability sampling.
But a small group of American statisticians was beginning to use probability sampling, in which interviewees are chosen by a random process outside the interviewer's control.
The value of the probability sampling methods that Professor Kish worked out was shown in the 1948 presidential election.
The estimates may differ from true values, because they are based on a probability sample of crashes and not a census of all crashes.