Chapter 5- Selecting Research Participants Flashcards

1
Q

Population

A

the entire set of individuals of interest to a researcher. Although the entire population usually does not participate in a research study, the results from the study are generalized to the entire population.

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2
Q

sample

A

a set of individuals selected from a population and usually is intended to represent the population in a research study.

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3
Q

target population

A

A group defined by a researcher’s specific interests

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4
Q

accessible population

A

the easily available segment of a target population. Researchers typically select their samples from this type of population

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5
Q

the representativeness of a sample

A

refers to the extent to which the characteristics of the sample accurately reflect the characteristics of the population.

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6
Q

a representative sample

A

is a sample with the same characteristics as the population.

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7
Q

biased sample

A

a sample with different characteristics from those of the population.

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8
Q

selection/sampling bias

A

occurs when participants or subjects are selected in a manner that increases the probability of obtaining a biased sample.

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9
Q

law of large numbers

A

In the field of statistics, the principle that states that the larger the sample size, the more likely it is that values obtained from the sample are similar to the actual values for the population.

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10
Q

sampling

A

the process of selecting individuals to participate in a research study.

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11
Q

probability sampling

A

the entire population is known, each individual in the population has a specifiable probability of selection, and sampling occurs by a random process based on the probabilities.

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12
Q

random process

A

procedure that produces one outcome from a set of possible outcomes. The outcome must be unpredictable each time, and the process must guarantee that each of the possible outcomes is equally likely to occur.

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13
Q

nonprobability sampling

A

the population is not completely known, individual probabilities cannot be known, and the sampling method is based on factors such as commonsense or ease, with an effort to maintain representativeness and avoid bias.

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14
Q

simple random sampling

A

A probability sampling technique in which each individual in the population has an equal and independent chance of selection.

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15
Q

systematic sampling

A

A probability sampling technique in which a sample is obtained by selecting every nth participant from a list containing the total population after a random starting point.

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16
Q

stratified random sampling

A

A probability sampling technique that involves identifying specific subgroups to be included in the sample and then selecting equal-sized random samples from each pre-identified subgroup.

17
Q

proportionate stratified random sampling

A

A probability sampling technique that involves identifying specific subgroups to be included, determining what proportion of the population corresponds to each subgroup, and randomly selecting individuals so that the proportion for each subgroup in the sample exactly matches the corresponding proportion in the population. Also known as proportionate random sampling.

18
Q

cluster sampling

A

A probability sampling technique involving random selection of groups instead of individuals from a population.

19
Q

convenience sampling

A

A nonprobability sampling method involving selection of individuals on the basis of their availability and willingness to respond; that is, because they are easy to get. Occasionally called accidental sampling or haphazard sampling.

20
Q

quota sampling

A

a nonprobability sampling method; a type of convenience sampling involving identifying specific subgroups to be included in the sample and then establishing quotas for individuals to be sampled from each group