ch 9 populations and samples Flashcards

1
Q

Selecting a group of people, events,
behaviors, or other elements with which to
conduct a study

A

sampling

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2
Q

sampling method, defines selection process

A

sampling plan

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3
Q

defines selected group of people/elements from which data are collected for a
study

A

sample

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4
Q

particular group of individuals
or elements who are the focus of the research

A

population

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5
Q

entire set of individuals
or elements who meet the sampling criteria

A

target population

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6
Q

portion of the target population to which the researcher has reasonable access

A

accessible population

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7
Q

Individual units of the population
and sample

A

elements

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8
Q

-Extending the findings from the sample
under study to the larger population
-The extent is influenced by the quality of the
study and consistency of the study’s
findings

A

generalization

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9
Q

Characteristics that the subject or element
must possess to be part of the target
population

A

inclusion (sampling criteria)

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10
Q

Characteristics that can cause a person or
element to be excluded from the target
population

A

exclusion (sampling criteria)

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11
Q

type of sample: As similar as possible
so as to control for extraneous variables

A

homogeneous sample

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12
Q

type of sample: Represents a broad
range of values
(used when narrow focus is not desirable)

A

heterogeneous sample

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13
Q

The sample, the accessible population, and
the target population are alike in as many
ways as possible

A

representativeness

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14
Q

things to evaluate in representativeness

A

-setting
-characteristics of subjects
-Distribution of values on variables measured in the study

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15
Q

Difference between the population mean and the mean of the sample

A

sampling error

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16
Q

type of variation: Expected difference in
values that occurs when different subjects
from same sample are examined

A

random variation

17
Q

type of variation: Consequence of selecting subjects whose measurement values differ in some way from those of the population

A

systemic variation/bias

18
Q

Withdrawal or loss of
subjects from a study

A

sample attrition

19
Q

Number of subjects who
remain in and complete a study

A

sample retention

20
Q

how to calculate sample attrition

A

number of subjects withdrawing ÷
number of study subjects × 100

21
Q

4 types probability sampling

A

-simple random
-stratified random
-random cluster
-systematic

22
Q

smaller groups that represent the
entire population

A

stratified random

23
Q

type of nonprobability sampling: Convenience sampling but a
strategy to ensure inclusion of
subject types

A

quota sampling

24
Q

type of nonprobability sampling: Researcher seeks out, based on researcher
judgment

A

purposive sampling

25
Q

type of nonprobability sampling:
-Used in grounded theory research
-The sample is saturated when the data collection is complete based on the researchers’ expectations

A

theoretical sampling

26
Q

Ability to detect differences in the population
or capacity to correctly reject a null
hypothesis

A

power analysis