SAMPLING AO1 & AO3 Flashcards

1
Q

Sampling techniques

A
  • A sample is taken from a target population
  • Must be a representative sample = generalise findings
    Random, systematic, stratified, opportunity and volunteer
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2
Q

Random sample

A

Each person in the sampling frame has an equal chance of selection e.g. drawing names from a hat or computer generator

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3
Q

Random sampling ADVANTAGE

A
  • Unbiased selection
  • Laws of probability says the researcher will normally get a representative sample
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4
Q

Random sampling DISADVANTAGE

A
  • Chance that the sample is not representative = can’t generalise
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5
Q

Systematic sample

A
  • Taking every nth person in sampling frame and selecting them for the sample.
  • E.g. every 5th person
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6
Q

Systematic bias EVA ADVANTAGE + DISADVANTAGE

A

+ Avoids bias as no control over who is selected
+ Laws of probability says the researcher will normally get a representative sample

  • Chance that the sample is not representative = can’t generalize
  • Not as objective as random sampling because research may decide on how people are listed before selection and the nth number used
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7
Q

Stratified sample

A
  • Sampling frame has been divided into groups that the research wants to make sure are represented in final sample
  • A certain number of pts are selected from these groups (usually randomly) so that they are proportionately represented in the sample
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8
Q

Stratified sample EVA ADVANTAGE + DISADVANTAGE

A

+ Ensures the sample is representative
+ objective because once the sampling has been stratified – normally left to chance (random sample) who is selected

  • Time consuming than other techniques
  • Researcher may not identify all the key characteristics for stratification meaning the sample is not representative
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9
Q

Opportunity sample

A

Made up of pts that have been selected because they are convenient and available

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10
Q

Opportunity sample EVA ADVANTAGE + DISADVANTAGE

A

+ Easy and convenient
+ Least time consuming

  • Biased because the target population is so small
  • Biased because only certain types of people will volunteer to be chosen e.g. free time or interested in research
  • Researcher may show bias when selecting the pts
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