Flashcards
Sampling in quantitative research
Cards in this deck (10)
- 1A sampling frame is:A list of all the units in the population from which a sample will be selected
- 2A simple random sample is one in which:Every unit of the population has an equal chance of being selected
- 3It is helpful to use a multi-stage cluster sample when:- The population is widely dispersed geographically
- You have limited time and money available for travelling
- You want to use a probability sample in order to generalise the results - 4The standard error is a statistical measure of:The extent to which a sample mean is likely to differ from the population mean
- 5What effect does increasing the sample size have upon the sampling error?It reduces the sampling error
- 6Which of the following is not a type of non-probability sampling?Stratified random sampling
- 7Snowball sampling can help the researcher to:- Access deviant or hidden populations
- Theorise inductively in a qualitative study
- Overcome the problem of not having an accessible sampling frame - 8Which of the following is not a characteristic of quota sampling?The random selection of units makes it possible to calculate the standard error
- 9The findings from a study of young single mothers at a university can be generalised to the population of:All young single mothers at that university
- 10The term 'data processing error' refers to:Faulty techniques of coding and managing data
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- Social Policy (Social Research Methods) Flashcards on Sampling in quantitative research, created by Hillary Gyebi-Ababio on 29/03/2018.
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- Hillary Gyebi-Ababio
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