Examples of using Probability sampling in English and their translations into Italian
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The first era of survey research was characterized by area probability sampling and face-to-face interviews.
which depart from probability sampling.
the one thing that they have in common is that they cannot easily fit in the mathematical framework of probability sampling Baker et al.
The magic of true probability sampling is to rule out problems on both measured and unmeasured characteristics(a point
Although both approaches were used in the early days of sampling, probability sampling has come to dominate,
2006) based on probability sampling and two thirds based on quota samples. .
introduced in Article 8, allowing transition periods for Germany during which it moves to full use of probability sampling for both cross-sectional and longitudinal data.
Thus, it is important to distinguish between probability sampling in theory, which has strong theoretical guarantees, and probability sampling in practice, which offers no such guarantees
When data are collected with a probability sampling method that has been perfectly executed,
Probability sampling requires that(i) all units in the population be represented in the frame used for selecting the sample;(ii) the selections are done by applying a proper randomised procedure which gives definite selection probabilities to all eligible units; and(iii) the sample as selected is successfully enumerated in the survey.
For the year 2005, Germany shall supply data of which 25% shall be based on probability sampling and 75% shall be based on quota samples, the latter to be progressively replaced by random selection so as to achieve fully representative probability sampling by 2008.
The cross-sectional and longitudinal data shall be based on nationally representative probability samples.
Sometimes or even often it is not possible to have a probability sample.
This online survey is not based on a probability sample and therefore no estimate of theoretical sampling error can be calculated.
First, as probability samples have become increasingly difficult to do in practice,
By way of exception to paragraph 1, Germany shall supply cross-sectional data based on a nationally representative probability sample for the first time for the year 2008.
In the same way that researchers weight responses from probability samples, they can also weight responses from non-probability samples. .
it is important to remember that the matched sample is not a probability sample.
This strong theoretical guarantee is why advocates of probability samples find them so attractive.
But, even now, estimates from well-conducted non-probability samples are probably better than estimates from poorly-conducted probability samples.