Sampling in quantitative research
Which of the following is not a characteristic of quota sampling?
The researcher chooses who to approach and so might bias the sample
Those who are available to be surveyed in public places are unlikely to constitute a representative sample
The random selection of units makes it possible to calculate the standard error
It is a relatively fast and cheap way of finding out about public opinions
The random selection of units makes it possible to calculate the standard error
Since ‘quota’ sampling is a type of ‘non-probability’ sampling, random selection cannot be one of its characteristics. It is somewhat less than scientific in its approach but can be very useful in providing quick indicators of response to events, which could later be tested on a probability sample. The researcher chooses respondents who are members of particular strata of society until a specified quota is reached. The quotas themselves are usually intended to reflect the size of the segment in the population as a whole.
Reference: Bryman: Social Research Methods: 5th Edition Page(s) 188-190
Reference: Bryman: Social Research Methods: 5th Edition Page(s) 188-190
The random selection of units makes it possible to calculate the standard error Since ‘quota’ sampling is a type of ‘non-probability’ sampling, random selection cannot be one of its characteristics. It is somewhat less than scientific in its approach but can be very useful in providing quick indicators of response to events, which could later be tested on a probability sample. The researcher chooses respondents who are members of particular strata of society until a specified quota is reached. The quotas themselves are usually intended to reflect the size of the segment in the population as a whole.
Reference: Bryman: Social Research Methods: 5th Edition Page(s) 188-190
Reference: Bryman: Social Research Methods: 5th Edition Page(s) 188-190
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The findings from a study of young single mothers at a university can be generalised to the population of:A. All young single mothers at that university
B. All young single mothers in that society
C. All single mothers in all universities
D. All young women in that university
A simple random sample is one in which:
A. From a random starting point, every nth unit from the sampling frame is selected
B. A non-probability strategy is used, making the results difficult to generalize
C. The researcher has a certain quota of respondents to fill for various social groups
D. Every unit of the population has an equal chance of being selected
It is helpful to use a multi-stage cluster sample when:
A. The population is widely dispersed geographically
B. You have limited time and money available for travelling
C. You want to use a probability sample in order to generalise the results
D. All of the above
Snowball sampling can help the researcher to:
A. Access deviant or hidden populations
B. Theorise inductively in a qualitative study
C. Overcome the problem of not having an accessible sampling frame
D. All of the above
Which of the following is not a type of non-probability sampling?
A. Snowball sampling
B. Stratified random sampling
C. Quota sampling
D. Convenience sampling
A sampling frame is:
A. A summary of the various stages involved in designing a survey
B. An outline view of all the main clusters of units in a sample
C. A list of all the units in the population from which a sample will be selected
D. A wooden frame used to display tables of random numbers
What effect does increasing the sample size have upon the sampling error?
A. It reduces the sampling error
B. It increases the sampling error
C. It has no effect on the sampling error
D. None of the above
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