Sampling Techniques Flashcards

1
Q

What is a population?

A

The whole set of items of interest

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2
Q

What is a census?

A

An observation or measurement of every member of a population

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3
Q

What is a sample?

A

A selection of observations taken from a subset of the population, representing the population as a whole

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4
Q

Advantages and disadvantages of a census?

A
  • Gives a completely accurate result
    However:
  • Time consuming and expensive
  • Cannot be used when the testing destroys the item
  • Hard to process large quantities of data
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5
Q

Advantages and disadvantages of a sample?

A
  • Less time consuming and expensive
  • Less people have to respond
  • Less data to process
    However:
  • Data may not be as accurate
  • Sample may not be large enough to give information about sub groups of the population
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6
Q

What is a sampling unit?

A

An individual member of the population

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7
Q

What is a sampling frame?

A

An ordered list of all the sampling units

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8
Q

What is simple random sampling?

A

Each sample unit has an equal chance of being selected using a method such as a hat or random number generator

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9
Q

What is systematic sampling?

A

The required elements are chosen at intervals from an ordered list (sampling frame)

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10
Q

What is stratified sampling?

A

The population is divided into mutually exclusive strata, and a random sample is taken from each

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11
Q

Advantages and disadvantages of a simple random sample?

A
  • Free of bias
  • Easy and cheap for small populations and small samples
  • Each sampling unit has an equal chance of selection
    However:
  • Can be time consuming, disruptive and expensive for a large sample size
  • A sampling frame is needed
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12
Q

Advantages and disadvantages of a systematic sample?

A
  • Simple and quick
  • Suitable for large samples and populations
    However:
  • Can introduce bias if the sampling frame is not random
  • A sampling frame is needed
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13
Q

Advantages and disadvantages of a stratified sample?

A
  • Accurately reflects population structure
  • Guarantees proportional representation of groups
    However:
  • Population must be clearly classified into strata
  • Selection within each stratum suffers from the disadvantages simple random sampling
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14
Q

What is quota sampling?

A

An interviewer or researcher selects a sample that reflects the characteristics of the whole population, and each person is observed

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15
Q

What is opportunity sampling?

A

A sample is taken from the people who are available at the time of the study and who fit the criteria you are looking for

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16
Q

Advantages and disadvantages of a quota sample?

A
  • Allows a small sample to be representative of the population
  • No sampling frame required
  • Quick, easy and inexpensive
  • Allows for easy comparison between groups
    However:
  • Non random sampling can introduce bias
  • Population must be divided into groups, which can be costly or inaccurate
  • Increasing the scope of the study increases groups, therefore time and expense
  • Non responses are not recorded as such
17
Q

Advantages and disadvantages of an opportunity sample?

A
  • Easy to carry out
  • Inexpensive
    However:
  • Unlikely to provide a representative sample
  • Highly dependent of the individual researcher
18
Q

How do you calculate the number of samples to take per stratum in a stratified sample?

A

(Number in stratum/number in population) * overall sample size