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Last updated 10:55 AM on 3/26/26
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32 Terms

1
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Random Sampling how

Obtain a complete list of all members of the target population.

2
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Random Sampling how

select a random person using a computer-based randomiser

3
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Random Sampling advantage

  • Reduces investigator bias in sample selection.

4
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Random Sampling advantage

  • Use of chance makes the sample more likely to be representative of the target population than other methods.

5
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Random Sampling disadvantage

  • Time-consuming to gain a complete list of everyone in the target population.

6
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Random Sampling Disadvantage

  • Time-consuming to gain a complete list of everyone in the target population.

7
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Systematic Sampling

Produced through time list

8
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Systematic Sampling how

A sampling frame is produced (a list of people in the target population)

9
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Systematic Sampling

The list is organised, e.g. alphabetically.

10
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Systematic Sampling

Reduces investigator bias, especially if the system is randomly chosen.

11
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Systematic Sampling

Relatively representative, e.g. unlikely to get an all-male sample.

12
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Systematic Sampling

Less representative than other methods

13
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Systematic Sampling

Time-consuming, and selected participants may not want to take part.

14
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Stratified Sampling

Identify sub-groups (strata) within the population

15
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Stratified Sampling

Work out proportions needed to make the sample representative.

16
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Stratified Sampling

Most representative method because the population is targeted around sub-groups

17
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Stratified Sampling

Avoids investigator bias.

18
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Stratified Sampling

Identified strata may not reflect all differences between people, so it is not 100% representative.

19
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Stratified Sampling

Time-consuming compared to other methods.

20
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Opportunity Sampling

Select subjects who appear suitable, willing, and available at the time.

21
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Opportunity Sampling

Ask them to take part until enough participants agree.

22
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Opportunity Sampling

Quickest and easiest method.

23
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Opportunity Sampling

Useful for researchers with fewer resources (e.g. students).

24
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Opportunity Sampling

  • Sample bias (often only from one area

25
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Opportunity Sampling

Researcher bias in who is selected.

26
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Opportunity Sampling

Some people may refuse to take part.

27
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Volunteer Sampling

The researcher places an advert (e.g. newspaper or notice board).

28
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Volunteer Sampling

The advert stays up until enough participants agree.

29
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Volunteer Sampling

Minimal time and effort from the researcher.

30
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Volunteer Sampling

Avoids investigator bias

31
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Volunteer Sampling

Unrepresentative due to volunteer bias.

32
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Volunteer sampling

Participants are often more helpful, keen, or curious, so they may perform better.

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