Y1, C1 - Data Collection Flashcards

1
Q

What is a population

A

The whole set of items that are of interest

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2
Q

What is a sample

A

Some subset of the population intended to represent the population

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3
Q

What is a sampling unit

A

Each individual thing in the population can be sampled as a sampling unit

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4
Q

What is a sampling frame

A

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

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5
Q

What is a census

A

Data collected from the entire population

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6
Q

Census advantages and disadvantages (compared to a sample)

A

+ Completely accurate results
- Time consuming and expensive
- Cannot be used when it involves destruction
- Large volume of data to process

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7
Q

Sample advantages and disadvantages (compared to a cenus)

A

+ Cheaper
+ Quicker
+ Less data to process
- Data may not be accurate
- Data may not be large enough to represent small sub-groups

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8
Q

What are the 3 types of random sampling

A

Simple Random Sampling
Systematic Sampling
Stratified Sampling

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9
Q

What is random sampling

A

Each sampling unit in a sampling frame has an equal chance of being chosen to avoid bias

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10
Q

Pros and cons and how to carry out Simple Random Sampling

A

+ Bias free
+ Easy and cheap
+ Each number has a known chance of being selected
- Not suitable for large population size
- Sampling frame needed
Assign each item an identifying number. Random generator the numbers

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11
Q

Pros and cons and how to carry out Systematic Sampling

A

+ Simple and quick
+ Suitable for large samples
- Sampling frame needed
- Can introduce bias if sampling frame isn’t random
Take every kth elements where k = population size (N) / sample size (n) starting at random item between 1 and k

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12
Q

Pros and cons and how to carry out Stratified Sampling

A

+ Reflects population structure
+ Guarantees proportional representation of groups
- Population must be clearly classified into distinct strata
- Selection within each stratum suffers from same disadvantages as simple random sampling
Same proportion (sample size (n) / population size (N)) from each strata

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13
Q

What is a strata

A

A distinct group

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14
Q

What are the 2 types of non-random sampling

A

Quota sampling
Opportunity / Convenience Sampling

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15
Q

What is a quota

A

A fixed share / number of something

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16
Q

When can’t we do a random sample

A

When we don’t have a sampling frame

17
Q

Pros and cons and how to carry out quota sampling

A

+ Allows small groups to still be representative of population
+ No sampling frame required
+ Quick, easy, inexpensive
+ Allows for an easy comparison between different groups in population
- Bias
- Population must be divided into groups which can be costly or inaccurate
- Non-responses are not recorded
- Increasing scope of the study increases number of groups therefore time / expense
Stratified sampling but then the interviewer selects the actual sampling units

18
Q

Pros and cons and how to carry out opportunity / convenience sampling

A

+ Easy to carry out
+ Inexpensive
- Unlikely to provide a representative sample
- Highly dependent on individual researcher
Interviewer selects the actual sampling units according to the set criteria

19
Q

What are the two types of data

A

Qualitative
Quantitative

20
Q

What is quantitative data

A

Numerical values

21
Q

What is qualitative / categorical data

A

Non-numerical values

22
Q

What are the two types of quantitative data

A

Discrete
Continous

23
Q

What is discrete data

A

Can only take specific values

24
Q

What is continuous data

A

Can take any decimal value

25
Q

What is a trace value (tr)

A

When the value is too low to be measured (under the minimum measuring unit, e.g. under 1cm on a metre ruler)