Data Collection/sampling Flashcards

(30 cards)

1
Q

Define population

A

The whole set of items that are of intrest

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2
Q

Define Raw data

A

The information obtained from the raw data

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3
Q

Define Census

A

Measures or observes every member of the population

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4
Q

What are the advantages of a census?

A

The results are completely accurate

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5
Q

What are the disadvantages of a census?

A

Time consuming/ expensive

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6
Q

What are the advantages of using a sample?

A

Cheaper/ less time consuming

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7
Q

What are the disadvantages of using a sample?

A

May not be accurate (as sample size is small)

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8
Q

Define sampling units

A

The individual units of a population
(E.g. students)

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9
Q

Define Sampling frame

A

A list of the sampling units (e.g. Register)

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10
Q

How many random samplings are there and what are the names?

A

3:
Simple random sampling
Systematic sampling
Stratified sampling

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11
Q

What is 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

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12
Q

Advantages of simple random sampling

A

Free of bias/ easy and cheap

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13
Q

Disadvantages of simple random sampling

A

Sampling frame needed/ not suitable for large samples

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14
Q

What is Systematic sampling?

A

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

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15
Q

Advantages of Systematic sampling

A

Simple and quick to use/ suitable for large samples

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16
Q

Disadvantages of Systematic sampling

A

Sampling frame is needed/ bias introduced if sampling frame is not random

17
Q

What is Stratified sampling?

A

The population is divided into mutually exclusive strata (groups), and a random sample is taken from each

18
Q

Advantages of Stratified sampling

A

Sample accurately reflects the population

19
Q

Disadvantages of Stratified sampling

A

Population must be clearly classified into distinct strata (time consuming)

20
Q

How many non-random sampling are there and what are the names?

A

2:
Quota sampling
Opportunity sampling

21
Q

What is Quota sampling?

A

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

22
Q

Advantages of Quota sampling

A

Efficient/cheap/ No sampling frame needed

23
Q

Disadvantages of Quota sampling

A

Can introduce bias/ population must be divided into groups which can be costly

24
Q

What is opportunity sampling?

A

A sample is taken from people who are available at the time of study and meet the criteria of what you are looking for

25
Advantages of opportunity sampling
Easy to do/ cheap
26
Disadvantages of opportunity sampling
Unlikely to provide a representative result
27
Define quantitive data
Data associated with numerical observations
28
Define qualitative data
Data associated with non-numerical observations
29
Define continuous variable
A variable that can take any value in a given range
30
Define discrete variable
A variable that can only take specific values