Data Collection and Interpretation Flashcards

1
Q

Population?

A
  • The whole set of items
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2
Q

Sample?

A
  • Subset of population
  • Intended to represent the population
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3
Q

Sampling unit?

A
  • Each individual item in population
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4
Q

Census?

A
  • Data collected from the whole population
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5
Q

Census advantages and disadvantages

A

Advantage:
* Completely accurate result

Disadvantage:
* Time consuming
* Expensive
* Cannot be used when testing involves destruction
* Large volume of data to process

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6
Q

Parameters?

A
  • A calculation of a sample/population
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7
Q

Sampling error?

A
  • The difference between the actual value of a parameter and the value derived from a sample
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8
Q

What can result in a biased sample?

A
  • Sample not representative of population
  • Wrong person asking questions
  • Small sample size
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9
Q

Random vs non-random sampling?

A
  • Random: every item has an equal chance of being selected for the sample
  • Non-random: sample selection based on other factors
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10
Q

Simple random sampling method?

A
  • Each item in sampling frame has identifying number
  • Use random number generator/lottery sampling
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11
Q

Simple random sampling advantages/disadvantages?

A

Advantages:
* Bias free
* Easy/cheap
* Equal chance of being selected

Disadvantages:
* Not suitable for large population size
* Sampling frame needed

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12
Q

Systematic sampling method?

A
  • Take every kth element

k = pop size/samp size

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13
Q

Systematic sampling advantages/disadvantages?

A

Advantages:
* Simple
* Suitable for large samples

Disadvantages:
* Sampling frame needed
* Can introduce bias if sampling frame is not random

Not random if there are patterns in data e.g. students are in order of ability

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14
Q

Stratified sampling method?

A
  • Population divided into groups (strata) and simple random sampling carried out in each group
  • samp size/pop size simple randomly ampled from each strata
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15
Q

Stratified sampling advantages/disadvantges?

A

Advantages:
* Reflects population structure
* Guarantees proportional representation of groups within population

Disadvantages:
* Pop must be clearly classified into distinc strata
* Same as random sampling

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16
Q

Oppportunity/Convenience sampling method?

A
  • Sample taken from people who are available at the time of study and meet criteria
17
Q

Opportunity/Convenience sampling advantages/disadvantages?

A

Advantages:
* Easy
* Inexpensive

Disadvantages:
* Unlikely to provide a representative sample
* Highly dependent on individual researcher

18
Q

Cluster sampling method?

A
  • Define each cluster
  • Collect samples from each cluster
19
Q

Cluster sampling advantages/disadvantages?

A

Advantages:
* No sampling frame
* Inexpensive

Disadvantages:
* Unlikely to provide a representative sample because clusters have similar characteristics = overrepresentation within a cluster

20
Q

Quota sampling method?

A
  • Pop. divided into groups according to characteristics
  • Interviewer selects the actual sampling method
21
Q

Quota sampling advantages/disadvantages?

A

Advantages:
* Allows small sample to still be representative of population
* No sampling frame needed
* Easy/inexpensive
* Allows for easy comparison between groups in population

Disadvantages:
* Non-random sampling can introduce bias
* Population has to be divided into groups (may be inaccurate)