QUOTA SAMPLING

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* A sampling method of gathering representative data from a group as opposed to random sampling, quota sampling requires that representative individuals are chosen out of a specified sub-group.

* Is intented to over come the most obvious flaw of availability sampling, that the sample will just consist of whoever or whatever is available, without any concern for its similarity to the population of interest.

QUOTA SAMPLING

LOBOS, LUISITA CESZ AYANA B.

ABM 11-KINDNESS

Statistic & Probability

Sir. Edwin Ortiz

1) Identify several categories of people or units that reflect aspects of diversity in population you believe to be important. e.g., gender or age.

2) Decide how many units to get for each category. i.e., what the "qiota" will be.

3) Select units by any method

Steps:

Advantages

Possibility to reflect the descriptive comments about the sample

Cost effectiveness and time effectiveness

Effective when it is unfeasible or impractical to conduct probability sampling.

Does not require sampling frame and strict use of random sampling techniques

Easy to carry out than stratified sampling.

Advantages & Disadvantages

**Disadvantages**

Unknown proportion i.e. lack of representation of the entire population.

Lower level of generalization of research findings compared to probability sampling.

Difficulties in estimating sampling variability and identifying possible bias

Since sample are not chosen by randomselection, hard to determine possible sampling error.

Selection of sample upon accessibility, prone to bias time consuming and costly.