Chapter 8Understanding Research Methods, Populations and Sampling

The methodological framework for the research project contains:
1. An account of all of the ways and means by which the research was actually carried out.
2. The key concepts in the research project.
3. The literature review.
4. The analysed data.
The population of the research, the sample selected from the population and the data gathering methods are all fundamental aspects of:
1. The conceptual framework.
2. The theoretical framework.
3. The methodological framework.
4. The analytical framework.
The researcher makes a decision on whether to work with the entire population or:
1. Universe.
2. A sample of that population.
3. The methodology.
4. Survey methods.
If the population of the study is very:
1. Small, the researcher may decide to work with a sample taken from that population.
2. Narrow, the researcher may decide to work with a sample taken from that population.
3. Broad, the researcher may decide to work with a sample taken from that population.
4. Big, the researcher may decide to work with a sample taken from that population.
If it suits the requirements of the research the researcher may decide:
1. To work with a sample taken from the population.
2. To work with a universe taken from the population.
3. To work with a pyramid taken from the population.
4. To work with a galaxy taken from the population.
If there is not enough time to conduct the research with the entire population of the study, the research will work with:
1. A sample taken from the population.
2. A universe taken from the population.
3. A pyramid taken from the population.
4. A galaxy taken from the population.
The concept of representation relates to:
1. The degree to which a universe taken from a population can be said to be representative of that population.
2. The degree to which a pyramid taken from a population can be said to be representative of that population.
3. The degree to which a galaxy taken from a population can be said to be representative of that population.
4. The degree to which a sample taken from a population can be said to be representative of that population.
The basic rule of probability sampling is:
1. That each member of the population has an equal probability of being selected for inclusion in the universe.
2. That each member of the population has an equal probability of being selected for inclusion in the pyramid.
3. That each member of the population has an equal probability of being selected for inclusion in the galaxy.
4. That each member of the population has an equal probability of being selected for inclusion in the sample.
Simple random sampling, stratified sampling, systematic sampling and cluster sampling are all examples of:
1. Snowball sampling.
2. Non probability sampling.
3. Probability sampling.
4. Judgemental sampling.
In non probability sampling, the sample is selected to represent the population but:
1. It cannot be said to be representative of the population, in any statistical sense.
2. It cannot be said to be stratified sampling, in any statistical sense.
3. It cannot be said to be cluster sampling, in any statistical sense.
4. It cannot be said to be simple random sampling, in any statistical sense.
Purposive sampling, quota sampling, convenience sampling and snowball sampling are all examples of:
1. Probability sampling.
2. Cluster sampling.
3. Systematic sampling.
4. Non probability sampling.
Saturation point is reached when:
1. The researcher feels that s/he has done enough.
2. The research supervisor feels that the researcher has done enough.
3. The researcher, though continuing to explore the phenomenon with participants in the research, no longer gathers any new data.
4. The participants in the research feel that the researcher has done enough.
There are particular and substantial ethical issues in engaging in research with:
1. Big populations.
2. Small populations.
3. Broad populations.
4. Vulnerable populations.
Data collection methods are:
1. Synonymous with research populations.
2. Synonymous with probability sampling.
3. Synonymous with non probability sampling.
4. The means by which researchers gather the data required for the research project.
When the researcher knows what data is required for the research project and how best to gather that data:
1. The researcher gathers the data.
2. The researcher analyses the data.
3. The researcher can design the means to gather the data.
4. The researcher manages the data.