Data Collection Flashcards

1
Q

Population

A

The whole set of items that are of interest

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2
Q

Census

A

Observes or measures every member of the population

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3
Q

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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4
Q

Advantages of a census

A

Should give a completely accurate result

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5
Q

Disadvantages of a census

A

Time-consuming and expensive
Cannot be used when the testing process destroys the item
How to process large quantity of data

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6
Q

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

Disadvantages of a sample

A

The data may not be as accurate

The sample may not be large enough to give information about small subgroups of 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

A list formed from sampling units of a population which are individually named or numbered

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10
Q

Simple random sample

A

Where every sample of size n has an equal chance of being selected

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11
Q

How do you carry out a simple random sample

A

You need a sampling frame, usually a list of people or things. Each person or thing is allocated a unique number and a selection of these numbers is chosen at random

Two methods: generating random numbers, lottery sampling

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12
Q

Systematic sampling

A

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

The first person to be chosen should be chosen at random

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13
Q

Stratified sampling

A

The population is divided into mutually exclusive strata (Males and females, for example) and a random sample is taken from each

The proportion of each strata samples should be the same.

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14
Q

Formula to calculate the number of people that should be sampled from each stratum

A

The number sampled in a stratum= (number in stratum/number in population) x overall sample size

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15
Q

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 an equal chance of selection

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16
Q

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

Advantages of systematic sampling

A

Simple and quick to use

Suitable for large samples and large populations

18
Q

Disadvantages of systematic sampling

A

A sampling frame is needed

It can introduce bias if the sampling frame is not random

19
Q

Advantages of stratified sampling

A

Sample accurately reflects the population structure

Guarantees proportional representation of groups within the population

20
Q

Disadvantages of stratified sampling

A

Population must be clearly classified into distinct strata

Selection within each stratum suffers from the same disadvantages are simple random sampling

21
Q

Quota sampling

A

An interview or research a select 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

22
Q

Opportunity sampling/Convenience 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

23
Q

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

24
Q

Disadvantages of quota sampling

A

Nonrandom sampling can introduce bias
Population must be divided into groups, which can be costly or inaccurate
Increasing scope of study increases a number of groups, which adds time and expense
Non-responses are not recorded as such

25
Q

Advantages of opportunity sampling

A

Easy to carry out

Inexpensive

26
Q

Disadvantages of opportunity sampling

A

Unlikely to provide a representative sample

Highly dependent on individual researcher

27
Q

Quantitative variables/data

A

Variables or data associated with numerical observations

28
Q

Qualitative variables/data

A

Variables or data associated with non-numerical observations

29
Q

Continuous variable

A

Variables that can take any value in a given range

30
Q

Discrete variable

A

Variables that can take only specific values in a given range