Data Collection Flashcards

1
Q

Census

A

observes and measures every member of a population

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2
Q

Sample

A

a selection of observations taken from a subset of the population which is used to find out information about the whole population

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3
Q

Advantages and Disadvantages of a Census

A

+ should give a completely accurate result

  • time consuming, expensive, hard to process large amount of data and cannot be used when testing process destroys item
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4
Q

Advantages and Disadvantages of a Sample

A

+ less time consuming, more cost effective than census, fewer people have to respond, less data than census

  • data is not as accurate, sample may not be large enough to give info about small sub-groups of a population
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5
Q

Simple Random Sampling

A

a sample size of n where every sample size of n has an equal chance of being selected

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6
Q

Systematic Sampling

A

required elements are chosen at regular intervals from an ordered list

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7
Q

Stratified Sampling

A

population is divided into mutually exclusive strata and a random sample is taken from each

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8
Q

Advantages and Disadvantages 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 and equal chance of selection

  • not suitable when the population size or the sample size is large, a sampling frame is needed
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9
Q

Generating a sampling frame ; 2 Methods

A

generating random numbers and lottery sampling

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10
Q

Advantages and Disadvantages of Systematic Sampling

A

+ simple and quick to use, suitable for large samples and large populations

  • sampling frame is needed, can introduce bias if the sampling frame is not random
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11
Q

Advantages and Disadvantages of Stratified Sampling

A

+ sample accurately reflects the population structure, guaruntees proportional representation of groups within a population

  • population must be clearly classified into distinct strata, again may not accurately represent small subsets within a large population
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12
Q

Quota Sampling

A

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

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13
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

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14
Q

Advantages and Disadvantages of Quota Sampling

A

+ allows a small sample to be representative of population, no sampling frame required, quick, easy and inexpensive, different groups within population are easily comparable

  • non random sampling can introduce bias, pop. divided into groups which can be costly or inaccurate, increasing scope of study increases number of groups, which increases time and expense, non-responses are not recorded as such
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15
Q

Advantages and Disadvantages of Opportunity Sampling

A

+ easy to carry out, inexpensive

  • unlikely to provide a representative sample, highly dependant on individual researcher
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16
Q

Quantitative Variables/Data

A

variables/data associated with numerical observations

17
Q

Qualitative Variables/Data

A

variables/data associated with non-numerical observations

18
Q

Continuous Variable

A

variable that can take any value in a given range

19
Q

Discrete Variable

A

variable that can only take specific values in a given range