Sampling Flashcards

1
Q

Simple random sampling

A

Every sample has equal chance of being selected

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2
Q

Simple random sampling method

A

In sampling frame each item has identifying number. Use random number generator, or ‘lottery sampling’ (names in a hat).

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3
Q

Simple random sampling method advantages

A
  • Bias free
  • Easy and cheap to implement
  • Each number has a known equal chance of being selected
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4
Q

Simple random sampling method disadvantages

A
  • Not suitable when population size is large

- Sampling frame needed

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5
Q

Systematic sampling

A

Required elements are chosen at regular intervals in ordererd lists e.g. every 4th element
k= pop size(N)/ samp size(n)
starting at random between 1 and k

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6
Q

Systematic sampling advantages

A
  • Simple and quick to use

- Suitable for large samples/populations

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7
Q

Systematic sampling disadvantages

A
  • Sampling frame needed

- Can introduce bias if sampling frame is not random

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8
Q

Stratified sampling

A
Population divided into groups (strata) and a simple random sample carried out in each group.
Same proportion sampled from each strata
Samp size(n) / pop size (N)
Used when sample is large and population naturally divides into groups
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9
Q

Stratified sampling advantages

A
  • Reflects the population structure

- Guarantees proportional representation of groups within population

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10
Q

Stratified sampling disadvantages

A
  • Sampling frame needed
  • Within the strata, the problems are the same as for any simple random sample
  • Population must be clearly classified into distinct strata (no overlap)
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11
Q

Quota sampling

A

Population divided into groups according to characteristics. A quota of items/people is set to try and reflect the group’s proportion in the whole population. Interviewer selects the actual sampling units

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12
Q

Quota sampling advantages

A
  • Allows small sample to still be representative of population
  • No sampling frame required
  • Quick, easy, inexpensive
  • Allows for easy comparison between different groups in population
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13
Q

Quota sampling disadvantages

A
  • Non random sampling can introduce bias e.g. interviewer bias
  • Population must be divided into groups, which can be costly or inaccurate
  • Increasing scope of study increases number of groups, adding time/expense
  • Non-responses are not recorded
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14
Q

Opportunity sampling

A

Sample taken from people who are available at time of study, who meet criteria.

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15
Q

Opportunity sampling advantages

A
  • Easy to carry out

- Inexpensive

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16
Q

Opportunity sampling disadvantages

A
  • Non random sampling can introduce bias e.g. interviewee bias
  • Unlikely to provide a representative sample
  • Highly dependant on individual researcher
17
Q

Cluster sampling

A

Cluster sampling is a probability sampling technique where researchers divide the population into multiple groups (clusters) for research. Researchers then select random groups with a simple random or systematic random sampling technique for data collection and data analysis.

18
Q

Population definition

A

The whole set of items that are in interest

19
Q

Sample definition

A

Some subset of the population to represent the population

20
Q

Census definition

A

A survey carried out to all items in a population

21
Q

Outlier definition

A

A point that differs significantly from the others

22
Q

Sampling frame definition

A

A list of all items to be sampled

23
Q

Sampling fraction definition

A

The proportion of the available items that are actually sampled.

24
Q

Bias definition

A

A model which is not representative of the population which is likely to include some prejudice

25
Q

Sampling error definition

A

The difference between your estimate of the parameter and the actual value

26
Q

Census advantages

A

Takes everyone opinions into account

27
Q

Census disadvantages

A

Time consuming and costly

28
Q

Cluster sampling advantages

A
  • Easy to carry out

- Simple random for selecting clusters

29
Q

Cluster sampling disadvantages

A
  • Differences in location

- Might not be convenient (makes sense for shops)