Criteria for sampling design

A good sample design requires the balancing of several important criteria:

1] Goal orientation-

• It consider both the selection processand the estimation process in terms of meeting research objectives.
• The sampling design should be based on the study's goals and objectives .
• Referring to the research objectives, tailored to the survey design and fitted to the survey conditions.

2] Measurability -

• The sampling design provides the data necessary for analysis (it enables valid inferences to be made about the population from the sample).
• It consider the ability to effectively quantify the variation in the sample statistics to provide a better handle indetermining characteristics of the population at large
• The aim of measurability is to understand the probability of sample selection, and to reduce unmeasurable biasesthrough better sample design.

3] Practicality -

• Practicality means being able to adapt to whatever irregularitiesoccur during the conduct of the survey
• The instructions should be simple, clear, practical and complete to accomplish the sample design.
• The actual activities of sampling have been identified and are feasible in the actual situation

4]Economy -

• Research objectives can be met with available resources (time, money, etc.)
• It concern with the fulfillment of survey objectives with minimum cost and effort and maximum statistical efficiency.
• Hence, Poorly designed surveys will increase the boredom factor for survey respondents

These four criteria frequently conflict, and survey researchers must balance and blend them to obtain a good sample design.