Statistical sampling - Topic 1 Flashcards

Understand and use the terms 'population' and 'sample', use samples to make informal inferences, understand sampling techniques and critique techniques

1
Q

Year 1 - Chapter 1

Simple Random

A

A simple random size of n is one where every sample of size n has an equal chance of being selected

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2
Q

Year 1 - Chapter 1

Advantages and disadvantages of simple random

A

Advantages:

  • Free of bias
  • Easy and cheap to implement for small populations and and small samples
  • Each sampling unit has a known and equal chance of selection

Disadvantages:

  • Not suitable when the population size or the sample size is large as it is potenitally time consuming, disruptive and expensive
  • A sampling frame is needed
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3
Q

Year 1 - Chapter 1

Systematic sampling

A

The required elements are chosen at regular intervals from an ordered list

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4
Q

Year 1 - Chapter 1

Advantages and disadvantages of systematic sampling

A

Advantages:

  • Simple and quick to use
  • Suitable for large samples and large populations

Disadvantages:

  • A sampling frame is needed
  • It can introduce bias if the sampling frame is not random
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5
Q

Year 1 - Chapter 1

Stratified sampling

A

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

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6
Q

Advantages and disadvantages of stratified sampling

A

Advantages:

  • Sample accurately reflects the population structure
  • Guarantees proportional representation of groups within a population

Disadvantages:

  • Population must be clearly classified into distinct strata
  • Selection within each stratum suffers from the same disadvantages as simple random sampling
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7
Q

Year 1 - Chapter 1

Quota sampling

A

An interviewer or researcher selected a sample that reflects the characteristics of the whole population

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8
Q

Year 1 - Chapter 1

Advantages and disadvantages of quota sampling

A

Advantages:

  • Allows a small sample to still be representative of the population
  • No sampling frame required
  • Quick, easy and inexpensive
  • Allows for easy comparison between different groups within a population

Disadvantages:

  • Non-random sampling can introduce bias
  • Population must be divided intro groups, which can be costly or inaccurate
  • Increasing scope of study increases number of groups, which adds time and expenses
  • Non-responses are not recorded as such
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9
Q

Year 1 - Chapter 1

Opportunity sampling

A

Consists of taking the sample from people who are available at the time the study is carried out and who fit the criteria you are looking for

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10
Q

Year 1 - Chapter 1

Advantages and disadvantages of opportunity sampling

A

Advantages:

  • Easy to carry out
  • Inexpensive

Disadvantages:

  • Unlikely to provide a representative sample
  • Highly dependent on individual researcher
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