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 to represent the population.

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4
Q

Advantages of Census.

A
  • Gives completely accurate results.
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5
Q

Disadvantages of a Census.

A
  • Time consuming and expensive.
  • Hard to process a large quantity of data.
  • Can’t be used when a testing process destroys the item.
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6
Q

Advantages of a Sample

A
  • Less time consuming and expensive than a census.
  • Less data to process than a census.
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7
Q

Disadvantages of a Sample

A
  • Data may not be as accurate.
  • The sample may not be large enough to give information about small sub-groups of a population.
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8
Q

How can the size of the sample affect the validity of any conclusions drawn ?

A
  • Depends on the required accuracy and the availability of resources.
  • Very varied population = larger sample size.
  • Different samples can lead to different results due to the natural variation in a population.

In conclusion:
THE LARGER THE SAMPLE IS = THE MORE ACCURATE THE RESULTS .

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9
Q

Sampling units

A
  • Individual units in a population.
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10
Q

Sampling frame

A
  • A list of sampling units that are individually named or numbered.
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11
Q

Simple random sampling

A
  • A simple random sample of size (n) is one where every sample of size (n) has equal chance of being selected ; removing any bias.
  • Steps : - A sampling frame is needed , eg. 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 , either by
    a random number generator or lottery sampling.
  • Advantages : - Free of bias
    - Easy and cheap to implement for small populations and samples.
  • Disadvantages : - A sampling frame is needed
    - Not suitable when population/sample size is large as it can be time consuming,disruptive and expensive.
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12
Q

Systematic sampling

A
  • Required elements are chosen at regular intervals from an ordered list .
  • However the first person to be chosen is picked at random.
  • Advantages : - Simple and quick to use .
    - Suitable for large populations and samples .
  • Disadvantages : - Requires a sampling frame .
    - It can introduce bias if sampling frame is not random .
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13
Q

Stratified sampling.

A
  • The population is divided into mutually exclusive strata and a random sample is taken from each .
  • THE NUMBER SAMPLED IN STRATUM = NUMBER IN STRATUM / NUMBER IN POPULATION * OVERALL SAMPLE SIZE
  • Steps : - Find the number of workers in each age group using the equation above.
    - Number the workers in each age group.
    - Use a random number generator to produce the required quantity of random numbers.
    - Give the questionnaire to the workers corresponding to these numbers.
  • Advantages : - Sample accurately reflects the population structure .
    - Guarantees proportional representation of groups within a population .
  • Disadvantages : - Population must be clearly classified into distinct strata .
    - A sampling frame is needed .
    - Not suitable when population size is large .
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14
Q

Quota sampling

A
  • An interviewer or researcher selects 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 the characteristic.
  • As an interviewer you would : - meet people
    - assess their group
    - allocate them into the appropriate quota/strata
  • If a person refuses to be interviewed or the quota into which they fit is full, then you simply ignore them and move on to the next person.
  • Advantages : - No sampling frame is requires
    - Quick,easy and inexpensive
    - Allows for easy comparison between different groups within a population.
  • Disadvantages : - Can introduce bias
    - Population must be divided into groups , which can be costly or inaccurate
    - Non-responses are not recorded
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15
Q

Opportunity 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.
  • You continue to sample individuals into a sample until you make the sample size you need.
  • Advantages : - Easy to carry out
    - Inexpensive
  • Disadvantages : - Unlikely to provide a representation sample.
    - Highly dependent on individual researcher.
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16
Q

Continuous variable

A
  • A variable that can take any value in a given range , eg. time and temperature.
17
Q

Discrete variable

A
  • A variable that can only take specific values in a given range .