Sampling methods Flashcards

1
Q

probability sampling methods

A

samples in which each element of the population has a known, nonzero likelihood of selection

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2
Q

non-probability sample

A

samples in which specified elements from the population have been selected in a non-random manner

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3
Q

simple random error

A

assigning a number to every element of the population and then using a table of random numbers to select specific elements for the inclusion of the sample –> SS/PS

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4
Q

Systematic sampling

A

probability sampling in which the entire population is numbered, and elements are selected using a skip interval

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5
Q

skip interval

A

PS/SS

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6
Q

stratified sampling

A

ensuring all the subgroups (strata) are represented in the sample

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7
Q

proportional allocation

A

elements selected for the stratum is directly proportional to the size of the stratum relative to the size of the population

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8
Q

disproportional/ optimal allocation

A

elements selected are proportional to the relative size of the stratum and and the standard deviation of the characteristic under consideration

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9
Q

cluster sampling

A

sampling units are selected from a number of small geographic areas to reduce data collection costs

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10
Q

multi-stage area sampling

A

geographic areas are selected in progressively smaller population units

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11
Q

convenient sample

A

using people have are easily accessible

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12
Q

judgement sample

A

researchers judgement about representativeness of the population under study

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13
Q

quota sample

A

sample has the same proportions of individuals as the entire population with respect to traits/characteristics

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14
Q

snowball samples

A

additional respondents are selected based on referrals from initial respondents

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