NURS 3370 CHAPTER 8 EXAM QUESTIONS AND ANSWERS
WITH COMPLETE SOLUTIONS VERIFIED LATEST UPDATE
Accessible Population
population that is readily available to the researcher and that represents the target
population as closely as possible
Cluster sampling
type of sampling in which the researcher selects groups of subjects rather than
individual subjects; also called (multistage sampling)
Convenience sampling
Type of non-probability sampling in which the researcher selects subjects or elements
readily available; also called (accidental sampling)😬🙊
External validity
Extent to which results of a study can be generalized from the study sample to other
populations and settings.
Network sampling
type of nonprobability sampling that takes advantage of social networks
Nonprobability sampling
Type of sampling in which the sample is not selected using random selection
Population
Entire set of subjects, objects, events, or elements being studied; also called the (target
population)🎯🎯🎯
,Probability sampling
Type of sampling in which every subject, object, or element in the population has an
equal chance or probability of being chosen.
Purposive sampling
type of nonprobability sampling in which the researcher selects only subjects that satisfy
prespecified characteristics; also called (judgmental or theoretical sampling) 👩⚖️
👨⚖️
Quota sampling
Type of nonprobability sampling in which quotas are filled
Random assignment
Allocation of subjects to either an experimental or a control group
Random selection
Type of selection in which each subject has an equal, independent chance of being
selected
Sample
a subset of the population
Sampling
The process of selecting a subset from a larger population
Sampling frame
A list of ALL elements in a population
Simple random sampling
Method of selecting subjects for a sample, in which every subject has an equal chance
of being chosen
Snowball sampling
, Type of nonprobability sampling that relies on subjects identifying other subjects with
similar characteristics
Stratified random sampling
Type of random sampling in which the population is divided into sub-populations, or
strata, on the basis of one or more variables, and a simple random sample is drawn
from each stratum
Systematic sampling
type of sampling in which every kth (where "k" is some convenient number) member of
the population is selected into the sample
Target population
Population for which study outcomes are intended. Although the intended (target) 🎯
population is usually evident, having access to members of this population (accessible)
can be difficult
What is the purpose of selecting a sample
To gain information from a small group so that findings can be generalized to a larger
group
Which is an example of Probability sampling
A. Snowball sample
B. Simple random sample
C. Network sample
D. Purposive sample
B. Simple random ;
Simple random sample
WITH COMPLETE SOLUTIONS VERIFIED LATEST UPDATE
Accessible Population
population that is readily available to the researcher and that represents the target
population as closely as possible
Cluster sampling
type of sampling in which the researcher selects groups of subjects rather than
individual subjects; also called (multistage sampling)
Convenience sampling
Type of non-probability sampling in which the researcher selects subjects or elements
readily available; also called (accidental sampling)😬🙊
External validity
Extent to which results of a study can be generalized from the study sample to other
populations and settings.
Network sampling
type of nonprobability sampling that takes advantage of social networks
Nonprobability sampling
Type of sampling in which the sample is not selected using random selection
Population
Entire set of subjects, objects, events, or elements being studied; also called the (target
population)🎯🎯🎯
,Probability sampling
Type of sampling in which every subject, object, or element in the population has an
equal chance or probability of being chosen.
Purposive sampling
type of nonprobability sampling in which the researcher selects only subjects that satisfy
prespecified characteristics; also called (judgmental or theoretical sampling) 👩⚖️
👨⚖️
Quota sampling
Type of nonprobability sampling in which quotas are filled
Random assignment
Allocation of subjects to either an experimental or a control group
Random selection
Type of selection in which each subject has an equal, independent chance of being
selected
Sample
a subset of the population
Sampling
The process of selecting a subset from a larger population
Sampling frame
A list of ALL elements in a population
Simple random sampling
Method of selecting subjects for a sample, in which every subject has an equal chance
of being chosen
Snowball sampling
, Type of nonprobability sampling that relies on subjects identifying other subjects with
similar characteristics
Stratified random sampling
Type of random sampling in which the population is divided into sub-populations, or
strata, on the basis of one or more variables, and a simple random sample is drawn
from each stratum
Systematic sampling
type of sampling in which every kth (where "k" is some convenient number) member of
the population is selected into the sample
Target population
Population for which study outcomes are intended. Although the intended (target) 🎯
population is usually evident, having access to members of this population (accessible)
can be difficult
What is the purpose of selecting a sample
To gain information from a small group so that findings can be generalized to a larger
group
Which is an example of Probability sampling
A. Snowball sample
B. Simple random sample
C. Network sample
D. Purposive sample
B. Simple random ;
Simple random sample
