4/3/25, 6:10 NR449 Flashcards |
PM
NR449 EXAM QUESTIONS AND ANSWERS WITH
COMPLETE SOLUTIONS VERIFIED GRADED A++
Practice questions for this set
Learn 1/7 Study using Learn
when the researcher randomly selects entire groups
Select the correct term
1Quota sampling 2Applicably and transferability
3Random error 4Cluster random sampling
Don't know?
Population (target population) entire set of subjects who are of interest to the researcher
Sample this is a subset of target population that the researcher will actually study
Sampling error "chance or standard error" used to determine if the study results reflect real effects or occur by chance
Subject number is the adequate number of subjects essential to a research study
is to define that population of interest. (then choose from sampling
First step of the sampling strategy frame/population)
EX: age, gender, diagnosis, setting, geographical locations
Subject assignment/ selection sample is not accurate representation of the population.
bias/sampling bias EX: researcher influences subjects or groups
Sampling strategy (randomization) best way to control selection bias
guidelines for choosing those subjects who match a predetermined set of
Inclusion Criteria:
characteristics limit bias
is characteristics that are meant to exclude a potential subject from the study
Exclusion criteria
EX: age, gender, geographical
structured so that important characteristics are evenly distributed across all
Stratified random sampling
groups
Cluster random sampling when the researcher randomly selects entire groups
is the type of convenience sampling that violates both randomness and
Snowball sampling independentness
EX: subjects recruit other subjects
occurs when subjects are chosen for a study based on professional judgement of
Judgemental sampling the researcher
EX: very specific
1/
3
PM
NR449 EXAM QUESTIONS AND ANSWERS WITH
COMPLETE SOLUTIONS VERIFIED GRADED A++
Practice questions for this set
Learn 1/7 Study using Learn
when the researcher randomly selects entire groups
Select the correct term
1Quota sampling 2Applicably and transferability
3Random error 4Cluster random sampling
Don't know?
Population (target population) entire set of subjects who are of interest to the researcher
Sample this is a subset of target population that the researcher will actually study
Sampling error "chance or standard error" used to determine if the study results reflect real effects or occur by chance
Subject number is the adequate number of subjects essential to a research study
is to define that population of interest. (then choose from sampling
First step of the sampling strategy frame/population)
EX: age, gender, diagnosis, setting, geographical locations
Subject assignment/ selection sample is not accurate representation of the population.
bias/sampling bias EX: researcher influences subjects or groups
Sampling strategy (randomization) best way to control selection bias
guidelines for choosing those subjects who match a predetermined set of
Inclusion Criteria:
characteristics limit bias
is characteristics that are meant to exclude a potential subject from the study
Exclusion criteria
EX: age, gender, geographical
structured so that important characteristics are evenly distributed across all
Stratified random sampling
groups
Cluster random sampling when the researcher randomly selects entire groups
is the type of convenience sampling that violates both randomness and
Snowball sampling independentness
EX: subjects recruit other subjects
occurs when subjects are chosen for a study based on professional judgement of
Judgemental sampling the researcher
EX: very specific
1/
3
