Data collection Flashcards

1
Q

Population

A

A whole set of items that are of interest

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2
Q

Census

A

Observes or measures everyone in the population

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3
Q

Sample

A

A subset of the population that is used to gather information about the whole population

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4
Q

Simple random sampling

A

Every member of the population has an equal chance of being chosen

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5
Q

Systematic sampling

A

Elements are chosen at regular intervals from an ordered list

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6
Q

Stratified sampling

A

Population is divided into different strata and a random sample is taken from each

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7
Q

Formula for stratified sampling

A

(no in a stratum/no in population) x overall sample size

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8
Q

Quota sampling

A

A researcher selects a sample the reflects the characteristics of the whole population

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9
Q

Opportunity sampling

A

Taking the sample from people who are available at the time the study is happening who also fit the criteria.

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10
Q

Advantages of a census

A

It should give a completely accurate result

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11
Q

Disads of a census

A
  • Time consuming/expensive
  • Hard to process large quantities of data
  • Can’t be used when the testing process destroys the item
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12
Q

Advantages of sampling

A
  • Less time consuming/expensive
    . Less data to process
  • Less people have to respond
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13
Q

Disads of samples

A
  • Data may not be accurate

- Sample may not be big enough to give info about everyone

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14
Q

Ads of simple random sampling

A
  • Free of bias
  • Easy and cheap to do for small samples/pop.
  • Each sampling unit has an equal chance of selection
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15
Q

Disads of SRS

A
  • Not good for large populations/samples bc it’s time consuming/expensive otherwise
  • A sampling frame is needed
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16
Q

Advantages of Systematic sampling

A
  • Simple/quick

- Good for big samples/pop.

17
Q

Disads of systematic sampling

A
  • needs sampling frame

- It could into. bias if frame isn’t random

18
Q

Ads of Strat.

A
  • Accurately represents population structure

- Guarantees PR of groups in a populations.

19
Q

Disads of Strat

A
  • Pop. has to be clearly classified into distinct groups

- Within each group, the disadvanatge is == to SRS disads..

20
Q

Ads of quota sampling

A
  • Allows a small sample to be rep. of pop.
  • No frame needed
  • Quick, easy, cheap
  • Allows for easy comparison between diff groups in a pop.
21
Q

Disads of quota sampling

A
  • non-random sampling can give bias
  • Population has to be split into groups which can be $$$
  • Increasing the scope of study increases no. of groups- time waste
22
Q

Advantages of opportunity sampling

A
  • Easy to do

- Cheap

23
Q

Disads of opportunity sampling

A
  • Not gonna give a representative sample

- Highly dependent on person who does the sample

24
Q

Discrete data

A

Fixed data e.g the amount of people in a room – you cannot have 2.65 people in a room

25
Q

Continuous data

A

Values that can have decimal points – like weight, height etc