Sampling in quantitative research
A sampling frame is:
A summary of the various stages involved in designing a survey
An outline view of all the main clusters of units in a sample
A list of all the units in the population from which a sample will be selected
A wooden frame used to display tables of random numbers
A list of all the units in the population from which a sample will be selected
A frame is a surround for something, like a frame for a photograph or a university degree, which we hang on our walls. A sampling frame ‘surrounds’ the population we want to study in our research. We won’t usually have the time or the money to ask questions of each member of the population, so we will interview or survey only a limited number of people. How do we know that the people we interview are truly representative of the entire population? Usually we don’t know for sure but we have a better chance if we select people at random from particular sections of the population, so that we can, at least, say our sample represents all sections of the population as they showed up in our overall ‘picture’, our sampling frame.
Reference: Bryman: Social Research Methods: 5th Edition Page(s) 174
Reference: Bryman: Social Research Methods: 5th Edition Page(s) 174
A list of all the units in the population from which a sample will be selected A frame is a surround for something, like a frame for a photograph or a university degree, which we hang on our walls. A sampling frame ‘surrounds’ the population we want to study in our research. We won’t usually have the time or the money to ask questions of each member of the population, so we will interview or survey only a limited number of people. How do we know that the people we interview are truly representative of the entire population? Usually we don’t know for sure but we have a better chance if we select people at random from particular sections of the population, so that we can, at least, say our sample represents all sections of the population as they showed up in our overall ‘picture’, our sampling frame.
Reference: Bryman: Social Research Methods: 5th Edition Page(s) 174
Reference: Bryman: Social Research Methods: 5th Edition Page(s) 174
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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
Which of the following is not a characteristic of quota sampling?
A. The researcher chooses who to approach and so might bias the sample
B. Those who are available to be surveyed in public places are unlikely to constitute a representative sample
C. The random selection of units makes it possible to calculate the standard error
D. It is a relatively fast and cheap way of finding out about public opinions
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
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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