Polit & Beck 9th Ed Nursing Research
Ch 10 Test Bank.
Population
Target?
Accessible? - Answer The group of interest.
Target: composed of entire group
Accessible: study sample
Eligibility Criteria - Answer The criteria designating the specific attributes of the target
population by which people are selected for inclusion in a study
Inclusion criteria
Exclusion criteria
Sample - Answer Selection of a potion of the population (a sample) to represent the entire
population
sampling bias - Answer over representing or under representing a population segment.
Strata - Answer sub-populations of a population
ex: population everyone that has glioblastoma
sub-pop= male/female/ 20-39, 40-50, ect.
The characteristics that must be possessed by
participants in order to be eligible to participate in
the study - Answer Inclusion Criteria
Characteristics that *will not* be included in the study
*Can help control for confounding variable* - Answer Exclusion Criteria
, representative sample - Answer a sample that accurately reflects the characteristics of the
population as a whole
representative sample best achieved by - Answer probability sampling
homogeneous sampling
power analysis (large pop)
The difference between data obtained from a random sample and data obtained if the entire
population was measured - Answer Sampling Error
True or False: Every study has error? - Answer True
non probability sampling - Answer does not involve selection of elements at random
rarely representative of population.
Probability sampling - Answer invoices random selection of elements; each element has an
equal, independent chance of being selected.
nonprobability sampling - Answer Does not involve selection of elements at random
Rarely representative of the population
Probability sampling - Answer Involves RANDOM selection of elements: each element has an
equal, independent chance of being selected
This allows up to use math to calculate any type of sampling error that may be encountered.
types of non probability sampling quantitative research - Answer convenience sampling-
selecting most conveniently available people as participants
quota sampling- identifying population strata and figuring out how many people are needed
Ch 10 Test Bank.
Population
Target?
Accessible? - Answer The group of interest.
Target: composed of entire group
Accessible: study sample
Eligibility Criteria - Answer The criteria designating the specific attributes of the target
population by which people are selected for inclusion in a study
Inclusion criteria
Exclusion criteria
Sample - Answer Selection of a potion of the population (a sample) to represent the entire
population
sampling bias - Answer over representing or under representing a population segment.
Strata - Answer sub-populations of a population
ex: population everyone that has glioblastoma
sub-pop= male/female/ 20-39, 40-50, ect.
The characteristics that must be possessed by
participants in order to be eligible to participate in
the study - Answer Inclusion Criteria
Characteristics that *will not* be included in the study
*Can help control for confounding variable* - Answer Exclusion Criteria
, representative sample - Answer a sample that accurately reflects the characteristics of the
population as a whole
representative sample best achieved by - Answer probability sampling
homogeneous sampling
power analysis (large pop)
The difference between data obtained from a random sample and data obtained if the entire
population was measured - Answer Sampling Error
True or False: Every study has error? - Answer True
non probability sampling - Answer does not involve selection of elements at random
rarely representative of population.
Probability sampling - Answer invoices random selection of elements; each element has an
equal, independent chance of being selected.
nonprobability sampling - Answer Does not involve selection of elements at random
Rarely representative of the population
Probability sampling - Answer Involves RANDOM selection of elements: each element has an
equal, independent chance of being selected
This allows up to use math to calculate any type of sampling error that may be encountered.
types of non probability sampling quantitative research - Answer convenience sampling-
selecting most conveniently available people as participants
quota sampling- identifying population strata and figuring out how many people are needed
