population and sampling

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20 Terms

1
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what is a target population?

the entire set of people that psychologists want to research

2
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what is a sample?

a smaller group drawn from the target population

3
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what does it mean if a sample is representative?

it is an accurate reflection of the larger population

4
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what does it mean if a sample is generalisable?

the researchers have the ability to draw conclusions from their research that apply to the larger population outside of research

5
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what are the 5 main sampling methods?

  • opportunity

  • volunteer

  • random

  • systematic

  • stratified

6
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what is an opportunity sample?

when researchers decide to select anyone who happens to be willing and available to participate that is local

7
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what is the strength of opportunity sampling?

it is convenient - less costly in terms of both time and money

8
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what are the weaknesses of opportunity sampling?

  • unrepresentative - the sample is drawn from a very specific area, so findings can’t be generalised

  • researcher bias - researchers can chose who they ask to participate

9
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what is volunteer sampling?

it involves participants selecting themselves to be part of the sample

  • e.g. through adverts, or simply raising their hand when asked by the researchers

10
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what is the strength of volunteer sampling?

easy to collect participants - requires minimal input from the researcher so is less time consuming

11
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what are the weaknesses of volunteer sampling?

volunteer bias - asking for volunteers may attract a certain profile of people: ones that are helpful or keen

  • this may then affect how far findings can be generalised

12
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what is random sampling and how is it carried out?

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

  • first, an complete list of all members is obtained

  • then, all of the names are assigned a number

  • finally, the sample is generated through the use of a lottery method, e.g. a computer-based randomiser

13
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what is the strength of random sampling?

no researcher bias - completely random so researchers can’t influence which participants are chosen

14
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what are the weaknesses of random sampling?

  • time consuming to set up and carry out - difficult to obtain a full list of target population

  • sample may still be unrepresentative - just because it’s random doesn’t mean it’s an accurate reflection of target population

  • people may refuse to take part even though they were chosen

15
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what is systematic sampling and how is it carried out?

every nth number of the target population is selected

  • a sampling frame is produced - a list of people in the target population organised a certain way, e.g. alphabetical order

  • then a sampling system is nominated, e.g. every 5th or 10th person

  • researcher then works through frame until sample is complete

16
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what are the strengths of systematic sampling?

  • avoids researcher bias - once system for selection is established, researcher has no influence over who is chosen

  • usually representative

17
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what are the weaknesses of systematic sampling?

  • people may refuse to take part even though they were chosen

  • time consuming to set up and carry out - difficult to obtain a full list of target population

18
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what is stratified sampling and how is it carried out?

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

  • identify the different strata that make up the population

  • work out the proportions needed for the sample to be representative

  • participants that make up each stratum are selected using random sampling

19
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what are the strengths of stratified sampling?

  • avoids researcher bias - once target population has been sub-divided into strata, the participants are randomly selected

  • method produces a representative sample - designed to accurately reflect the composition of the population

20
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what is the weakness of stratified sampling?

complete representation of the target population isn’t possible - the identified strata can’t reflect all the ways people are different