Sampling Flashcards

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1
Q

What is the Survey/Sampling Population?

A

All of the people.

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2
Q

What is the Sampling Frame?

A

A list of all the people in the survey population.

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3
Q

What is the Sampling Technique?

A

The way the sociologist picks their sample.

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4
Q

What is a Sample?

A

The smaller representative group of participants the sociologists will research.

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5
Q

What is a Sampling Unit?

A

One participant from the sample.

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6
Q

What is Sample Attrition?

A

The number of participants who drop out of the research.

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7
Q

What does representative mean?

A

A selection of a sample population that accurately reflects the characteristics of the population.

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8
Q

What is generalisability?

A

The degree to which you can apply the results of your study results to a broader context.

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9
Q

Random Sampling (representative):

A

People are chosen without a system from a list of names.

Evaluation = Best type of sampling (equal chance of being picked), but relies on chance that the sample is representative.

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10
Q

Systematic Random Sample (representative):

A

Names are selected from a sampling frame at regular intervals.

Evaluation = Relies on chance to be representative, a quicker technique.

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11
Q

Stratified Sampling (representative):

A

Where the researcher splits the group based on characteristics, then selecting a proportional sample from each category = ensures proportional representation of the sample population.

Evaluation = Sample more likely to reflect characteristics of survey population (more representative). BUT characteristics may not be visible just from looking at the sampling frame.

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12
Q

Quota Sampling (representative):

A

Interviewers find people to fill pre-set categories.

Evaluation = Need to know the proportions of different groups in the population in order to set initial quotas, not everyone has an equal chance of being chosen. Time-consuming, but quick and easy.

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13
Q

Cluster Sampling (representative):

A

A sample is selected and then a smaller sample is chosen from that sample.

Evaluation = more accessible but if the first sample is not representative, the next samples may be inaccurate.

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14
Q

Snowball Sampling (non-representative):

A

Researcher finds one suitable person and then that person introduces the researcher to other contacts.

Evaluation = difficult to ensure it is representative, may only get a particular type of respondent depending on who the first person knows, but easier to access difficult groups.

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15
Q

Volunteer Sampling (non-representative):

A

The research is advertised and participants put themselves forward.

Evaluation = difficult to ensure it’s representative, volunteers may have a particular reason for volunteering, but saves a lot of time.

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16
Q

Non-representative Sampling (non-representative):

A

A group is selected for a particular purpose, which is not representative because it only has the characteristics you WANT to study.

Evaluation = Excludes groups from research. However, this may be the intent of the researcher = may not realise the importance of groups they have not included. But, quick and easy.