Sampling definitions Flashcards

1
Q

Census

A

A census observed or measures every member of a population

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2
Q

Population

A

Population is the whole set of items that are of interest

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3
Q

Sample

A

A sample is a selection of observations taken from a subset of the population which is used to find out the population as a whole

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4
Q

Advantage of a census

A

It should give a completely accurate result

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5
Q

Give 3 disadvantages of a census

A
  • time consuming
  • cannot he used when the testing process destroys the item
  • hard to process large quantity of data
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6
Q

Give 3 advantages of a sample

A
  • less time consuming and expensive than a census
  • fewer people have to respond
  • less data to process than in a census
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7
Q

Give 2 disadvantages of a sample

A
  • the data may not be as accurate

- the sample may not be large enough to give information about small sub-groups if the population

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8
Q

Sampling units

A

Individual units of a population

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9
Q

Sampling frame

A

Sampling units of a population are individually named or numbered to form a list called a sampling frame

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10
Q

Simple random sampling

A

A simple random sample of size n is one where every sample of size n has an equal chance of being selected. Every unit is allocated a unique number and these numbers are chosen at random by either generating random numbers or lottery sampling.

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11
Q

Systematic sampling

A

In systematic sampling, the required elements are chosen at regular intervals from an ordered list. The first unit to be chosen should be chosen at random

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12
Q

Stratified sampling

A

In stratified sampling, the population is divided into mutually exclusive strata (males and females for example) and a random sample is taken from each.
The size of each strata in the sample is proportional to the whole population in that strata

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13
Q

Give 3 advantages of simple random

A
  • free of bias
  • easy and cheap to implement for small populations and small samples
  • each sampling unit has a known and equal chance of selection
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14
Q

Give 2 disadvantages of simple random

A
  • not suitable when the population size or the sample size is large as it it is potentially time consuming
  • a sampling frame is needed
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15
Q

Give 2 advantages of systematic sampling

A
  • simple and quick to use

- suitable for large samples and large populations

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16
Q

Give 2 disadvantages of systematic sampling

A
  • a sampling frame is needed

- it can introduce bias if the sampling frame is not random

17
Q

Give 2 advantages of stratified sampling

A
  • sample accurately reflects the population structure

- guarantees proportional representation of groups within a population

18
Q

Give 2 disadvantages of stratified sampling

A
  • population must be clearly classified into distinct strata
  • selection within each stratum suffers from the same disadvantages as simple random sampling
19
Q

Quota sampling

A

In quota sampling, an interviewer or researcher selects a sample that reflects the characteristics of the whole population. The population is divided into groups according to a given characteristic. The size of each group determines the proportion of the sample that should have that characteristic.

20
Q

Opportunity sampling

A

Opportunity sampling 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

21
Q

Give 4 advantages of quota sampling

A
  • allows a small sample to still be representative of the population
  • no sampling frame is required
  • quick and easy
  • allows for easy comparison between different groups within a population
22
Q

Give 3 disadvantages of quota sampling

A
  • non-random sampling can introduce bias
  • population must be divided into groups, which can be costly or inaccurate
  • increasing scope of study increase number of groups, which adds time and expense
23
Q

Give 2 advantages of opportunity sampling

A
  • easy to carry out

- inexpensive

24
Q

Give 2 disadvantages of opportunity sampling

A
  • unlikely to provide a representative sample

- highly dependent on individual researcher

25
Q

Continuous variable

A

A variable that can take any value in a given range

26
Q

Discrete variable

A

A variable that can take only specific values in a given range