Data Collection Flashcards

1
Q

Define population

A

The whole set of items that are of interest

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2
Q

Define sample

A

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

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3
Q

Define 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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4
Q

Define sampling unit

A

Individual units of population

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5
Q

Define census

A

A census observes or measures every member of a population

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6
Q

What are the advantages of a census

A

It should give a completely accurate result

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7
Q

What are the disadvantages of a census

A
  • Time consuming and expensive
  • Cannot be used when the testing process destroys the item
  • Hard to process large quantity of data
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8
Q

What are the 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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9
Q

What are the three sampling methods

A
  • Simple random sampling
  • Systematic sampling
  • stratified sampling
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10
Q

Define simple random sample

A

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

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11
Q

What are the two ways of carrying out a simple random sample

A

Lottery sampling -> writing numbers on tickets and drawing out of a hat

Sampling frame -> each person / list is allocated a unique number. Selection of these numbers is chosen at random

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12
Q

What are the advantages of systematic sampling

A
  • simple and quick to use

- suitable for large samples and large populations

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13
Q

What are the disadvantages of systematic sampling

A
  • a sampling frame is needed

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

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14
Q

Define systematic sampling

A

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

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15
Q

What are the advantages of simple random sampling

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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16
Q

What are the disadvantages of simple random sampling

A

Not suitable when the population size or the sample size is large

A sampling frame is needed

17
Q

Define stratified sampling

A

the population is divided into mutually exclusive strata (males and females e.g) and a random sample is taken from each

18
Q

Define quota sampling

A

The interviewer or researcher selects a sample that reflects the characteristics of the whole population

19
Q

What are the advantages of quota sampling

A

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

20
Q

What are the 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 increases number of groups, which adds time and expense

Non-responses are not recorded as such

21
Q

Define opportunity sampling

A

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

22
Q

What are the advantages of opportunity sampling

A

Easy to carry out

Inexpensive

23
Q

What are the disadvantages of opportunity sampling

A

Unlikely to provide a representative sample

Highly dependent on individual researcher