• The population is divided proportionately into predetermined categories.
• The subject category is deliberately selected from the population until a particular
quota is met for each category.
Two basic conditions:
• Firstly, the categories should have a distribution in the population that can be
estimated, and
• Secondly, the variable used in forming each category must be relevant to the topic
of the study.
For example, in a study of the buying patterns of young executives working in the government
institutions in Astana, the following categories can be identified for quota sampling:
• Gender: 2 categories – male, female
• Marital status: 3 categories – married, single, divorced
• Family social economic class: 3 categories – upper, middle, lower
• Educational qualification: 4 categories – postgraduates, undergraduates with
diplomas, high school diploma, non-high school diploma.
From the combination above, the researcher will proceed to locate subjects who fall into
each category in terms of an estimate of their occurrence in the population.
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