GF 5 Flashcards

1
Q

the entire group of individuals who have the characteristics required by the researcher

A

Target population

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2
Q

the local population representative of the target population from which the researcher pulls his sample

A

Accessible population

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3
Q

how closely the sample mirrors the population

A

Representativeness

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4
Q

a sample that does not have the same characteristics as the population

A

Biased sample

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5
Q

when participants are selected in a way that creates a biased sample

A

Selection bias/Sampling bias

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6
Q

states that the larger the sample size, the more likely it is that values obtained from the sample represent the population

A

Law of large numbers

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7
Q

the process of selecting individuals for a study

A

Sampling

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8
Q

when an entire population is known and can be listed and sampling is a totally random process with each individual equally likely to be picked

A

Probability sampling

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9
Q

when the samples are taken based off accessibility; has a high potential for bias

A

Non probability sampling

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10
Q

selection of entire groups from pre-existing divisions, such as random sampling of whole classrooms in a school

A

Cluster sampling

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11
Q

equal random samples from each subgroup; each subgroup and sample is the same size

A

Simple Stratified Random Sampling (SSRS)

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12
Q

random samples from each subgroup; each subgroup is different sizes to reflect the composition of the population being sampled

A

Proportionate Stratified Random Sampling (PSRS)

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13
Q

an extra criteria added to convenience sampling that aids adequate representation of all subgroups

A

Quota Sampling

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14
Q

SRS that increases the probability of selection every time an individual is selected; no individual can be selected twice

A

Selection without replacement

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15
Q

SRS that maintains the same probability of being selected, but the same individual may be selected twice

A

Selection with replacement

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16
Q

seeks to determine how big a sample size should be

A

Statistical power analysis

17
Q

starts as an SRS, but after you pick the first participant, you pick every nth name

A

Systematic sampling (probability)