Example
For example, 180 samples were extracted, and the control features were 3: age, income, gender, sample allocation quota as follows:
| age | gender | income | 30 | male | < Td width = "100"> high | 36 | ||||||
| 30-40 | 50 |
| 54 | 60 | female | < P> 90 | low | 90 | ||||
|
| 40 | Total | 180 | total | 1 80 | total | 180 | < / TR>
It can be seen that this quota allocation, 3 control features are not honest, nor does it specify the relationship between each control feature. For example, 30 people were extracted from consumers aged 18-29. This 30 is a male, and the income is high, and there is no provision.
Related Contents
quotas Sampling also known as "quota sampling" means that investigators will investigate the overall samples to classify or layers, and determine samples of various (layers) units. The amount is selected in the quota. Samples of samples. Quotas and layered random sampling are both similar, and there is a great difference. Quotability and layered random sampling have similar places, all in advance, all units in the overall, feature classification, these attributes, feature we call "control characteristics." For example, consumers in the market survey, age , Income, occupation, level of education, etc. Then, the sample amount is allocated according to each control characteristics. However, it differs from the layered sampling. The layered sampling is selected in the layers in the random principle, and the quota sampling is the selected sample by the investigators subjectively in the quota.
Quotas samples
quotas Sample: Sneakheel Sampling and mutual control quota sampling.
Quotas Sampling Benefits:
Suitable for designing investigators having a certain understanding of the overall characteristics and more sample number, in fact, quota sampling belongs to the first Layer "(the sample amount of each layer is determined in advance) is" judging "(sampling individuals in each layer); sample individual is selected); the cost is not high, easy to implement, can meet the overall ratio requirements.
Mutual control quota sampling, " non-independent control quota sampling " means that on the basis of independent allocation samples according to various types of control characteristics, use cross-control schedule samples The specific amount of sampling method. Mutual control quota sampling is specified in the same amount of two or more control characteristics at the same time. For example, it can be specified that 30 people were extracted between 18-29, with high-income men and women with 3 men and women with 4 people, and 8 people with low-income men and women.
