Development of a Quota Sample for a Survey - Research Paper Example

A sample size means a number of elements to be included in a study (McDonald, 2002). In this case, a survey to determine attitudes on a new training and development program is to be conducted in the university targeting the alumni. Shuttleworth (2008) suggests that a survey research design is an indispensable tool when assessing opinions and trends. Since the proposed quota survey will ascertain the perceptions of the alumni, it becomes the most appropriate method of study.

Age categories relied on recent alumni of the university. The larger percentage of 31-35 was necessary to share the experiences of those who have been in the job market based on the old training program. Other categories would include; income levels based on employment or unemployment. The last category would be educational levels assessed based on secondary, tertiary, or college levels. Alumni Quota sample for alumni on new training on the development program.

Development of a Sampling Process for the Kuwaiti Bank
Kuwaiti bank survey aims to evaluate how banking habits differ among different ethnic groups. The researcher utilizes the systematic sampling technique in which a sample is chosen by selecting a random starting point and then picking every 5th household. The sample interval is determined from the universe that totals 200000 people.
Nassipur (2004) argues that when a sample is too small, the generalizability of the findings becomes difficult. When it is too small it becomes meaningless when analyzed. Besides, when the resources and time are limited a smaller sample becomes justified. The desired sample is 1500. The sample interval shall be 133. That means every 133th household has a likelihood of selection. The population resides in a geographically ordered area where tribes live alongside each other. The sample shall be distributed according to population size per region. A triangulation of sampling quota and systematic techniques will be utilized as follows. The orderly nature of geographical distribution will increase representativeness.