Sampling Flashcards

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1
Q

Bias

Define

A

A systematic distortion

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2
Q

Generalisation

Define

A

Applying the findings as a part of a particular study to the population

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3
Q

Opportunity sample

Define

A

A sample of participants produced by selecting people who are most easily avaliable at the time of the study

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4
Q

Population sample

Define

A

A group of people that has the characteristics the reasercher is intrested in

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5
Q

Random Sample

Define

A

A sample of participants produced by using random techniques so that every member of the target audience has an equal chance of being selected

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6
Q

Sampling

Define

A

A selection of participants from the target population intended to produce a representative group from that total population.

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7
Q

Stratisfied sample

Define

A

A sample of participants produced by identifying subgroups according to their frequency in the population.
They are then randomly selected in their subgroup.

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8
Q

Systematic sample

Define

A

A sample obtained by picking the Nth person in every group.

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9
Q

Volunteer sample

Define

A

A sample of participants that relies on volunteers to make up the numbers.

Also known as self selected sample.

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10
Q

Opportunity sample

Pros and cons

A

Quick and convenient
Inevitably Bias as the sample is self selected.

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11
Q

Random sample

Pros and cons

A

Produce the most representative data and generalisable findings.
Could still hold some bais depending on whos selected and if people refuse to take part

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12
Q

Stratified sample

Pros and cons

A

Unlike Opportunity sample it will represent the underlying population but is limited of understanding which subgroups are important

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13
Q

Systematic sample

Pros and cons

A

Less Biased, but like random will have some bias is participants refuse to take part

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14
Q

Volunteer sample

Pros and cons

A

Quick and easy .
Very biased due to special skills of the volunteers

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