Data collection Flashcards

1
Q

Sampling frame

A

A list of individuals from which the sample is drawn

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2
Q

A simple random sample

A

A sample in which every possible sample of the same size has the same chance of being selected

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3
Q

A quota sample

A

A researcher selects a sample which reflects the characteristics of the whole population.

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4
Q

Population

A

The whole set of items of interest

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5
Q

Sample

A

A selection of observations taken from a subset of the population

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6
Q

Sampling units

A

Individual members of a population

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7
Q

A stratified sample

A

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

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8
Q

An opportunity sample

A

A sample taken 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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9
Q

Quantitative

A

Variables or data associated with numerical observations

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10
Q

A systematic sample

A

A sample obtained by selecting individuals from regular intervals from an ordered list

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11
Q

Qualitative

A

Variables or data associated with non-numerical values

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12
Q

Continuous variable

A

A variable that can take any value in a given range

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13
Q

Discrete variable

A

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

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14
Q

Census

A

An observation or measurement of the entire population

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15
Q

Classes

A

The groups in a grouped frequency table

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16
Q

Class boundaries

A

The maximum and minimum values that belong in each class

17
Q

Class width

A

The difference between the lower and the upper class boundaries

18
Q

Random sampling

A

A sample that fairly represents a population because each member has an equal chance of inclusion

19
Q

Non-random sampling

A

An alternative sampling method to random sampling, where the sample is not chosen at random. It can be opportunistic, stratified or systematic.

20
Q

Biased sample

A

A sample that does not fairly represent the population

21
Q
A