Sampling

0.0(0)
studied byStudied by 2 people
full-widthCall with Kai
GameKnowt Play
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
Card Sorting

1/37

encourage image

There's no tags or description

Looks like no tags are added yet.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

38 Terms

1
New cards

What is a population?

A group of people who are the focus of the researcher’s interest, from which a smaller sample is drawn.

2
New cards

What is a sample?

A group of people who take part in a research investigation.

3
New cards

Where is the sample drawn from?

A (target) population and is presumed to be representative of that population.

4
New cards

What is the difference between population and sample?

A population is the entire group that the researcher wants to draw conclusions about. A sample is the specific group that the researcher will collect data from.

5
New cards

What are the different types of sampling?

Random, systematic, stratified, opportunity and volunteer.

6
New cards

What is meant by random sampling?

Where all the members of the target population have an equal chance of being selected.

7
New cards

How is random sampling carried out?

  1. A complete list of all members of the target population is obtained.

  2. All of the names on the list are assigned a number.

  3. The sample is generated through the use of some lottery methods (this could be a computer-based randomiser or even picking names from a hat)

8
New cards

What are the advantages of random sampling?

  • It is free from researcher bias.

9
New cards

Why is the lack of bias an advantage of random sampling?

The researcher has no influence over who is selected - CVs/EVs are controlled, enhancing internal validity.

10
New cards

What are the disadvantages of random sampling?

  • It can be unrepresentative.

  • Time-consuming.

11
New cards

Why might the sample be unrepresentative in random sampling?

The chosen sample might not represent the population very well because of random fluctuations.

12
New cards

Why is random sampling being consuming a disadvantage?

A complete list of the target population is hard to get. Some participants may also refuse to take part.

13
New cards

What is meant by systematic sampling?

Where every nth member of the target population is selected.

14
New cards

How is systematic sampling carried out?

  1. A sampling frame is produced - a a list of people in the target population, organised into, for instance, alphabetical order.

  2. A sampling system is nominated (every 3rd, 5th person, ect.) or this interval may be determined randomly to reduce bias.

  3. The researcher then works through the sampling frame until the sample is complete.

15
New cards

What are the advantages of systematic sampling?

  • Avoids researcher bias.

  • Fairly representative.

16
New cards

How is the lack of researcher bias an advantage of systematic sampling?

Once the system for selection has been established, the researcher has no influence over who is chosen.

17
New cards

What are the disadvantages of systematic sampling?

A complete list of the population is required which takes time and effort.

18
New cards

What is meant by stratified sampling?

When the composition of the sample reflects the proportions of people in certain sub-groups (strata) within the target population of the wider population.

19
New cards

How is stratified sampling carried out?

  1. The researcher identifies the different strata that make up the population.

  2. The proportions needed for the sample need to be representative are worked out.

  3. The participants that make up each stratum are selected using random sampling.

20
New cards

What are the advantages of stratified sampling?

  • Avoids researcher bias

  • A representative sample is produced.

21
New cards

How is the lack of researcher bias an advantage of stratified sampling?

Once the target population has been sub-divided into strata, the participants that make up the numbers are randomly selected, beyond their influence.

22
New cards

What are the disadvantages of stratified sampling?

  • Stratification is not perfect.

23
New cards

Why is stratification not being perfect a disadvanatge of stratified sampling?

Strata cannot reflect all the ways in which people are different so complete representation is not possible.

24
New cards

What is meant by opportunity sampling?

When the researcher simply decides to select anyone who happens to be willing and available.

25
New cards

How is opportunity sampling carried out?

The researcher simply takes the chance to ask whoever is around at the time.

26
New cards

What are the advantages of opportunity sampling?

  • Convenient

27
New cards

Why is convenience an advanatge of opportunity sampling?

It saves time and effort from the researcher and is cheap.

28
New cards

What are the disadvantages of opportunity sampling?

  • Suffers from researcher bias.

  • Sample is unrepresentative.

29
New cards

How is researcher bias a disadvantage of opportunity sampling?

The researcher has complete control over the selection of participants and may, for instance, avoid people they find intimidating.

30
New cards

How is the sample being unrepresentative a disadvantage of opportunity sampling?

It is drawn from a very specific area so findings cannot be generalised to the target population.

31
New cards

What is meant by volunteer sampling?

When participants select themselves to be part of the sample.

32
New cards

How is volunteer sampling carried out?

A researcher may place an advert in a newspaper of on a common room notice board. Alternatively, willing participants may simple raise their hands when the researcher asks.

33
New cards

What are the advantages of volunteer sampling?

  • Easy.

  • Less time-consuming

34
New cards

Why is volunteer sampling being easy and less time-consuming an advantage?

It requires minimal effort from the researcher as is less costly.

35
New cards

What are the disadvantages of volunteer sampling?

  • Volunteer bias

36
New cards

What is volunteer bias?

Asking for volunteers may attract a certain ‘profile of a person‘ which may affect how findings are generalised.

37
New cards

What is meant by generalisation?

The extent to which findings and conclusions from a particular investigation can be broadly applied to the populations.

38
New cards

How is generalisation made possible?

If the sample of participants is representative of the population.