NR 449: WEEK 4 SAMPLING STRATEGY AND
MEASUREMENT AND DATA COLLECTION (LATEST
UPDATE) REAL QUESTIONS AND VERIFIED ANSWERS
|100% CORRECT | ALREADY GRADED A
Target Population and Sample Ans✓✓✓ o Subject samples are designed
to represent a designated population in a research study.
Population Ans✓✓✓ This is the entire set of subjects who are of interest
to the researcher; sometimes called the target population. It is simply not
possible to study the entire population of interest.
Sample Ans✓✓✓ This is a subset of the target population that the
researcher will actually study. If strategically selected, the sample can
effectively represent the broader population.
Sampling Error Ans✓✓✓ o Data collected from a sample is not as
accurate as if collected from the entire population, so the study results
will never match the population perfectly
o Sampling error: Researchers use statistics to account for the difference
in population and sample numbers
o Chance/"Standard Error": Used to determine if the study results reflect
real effects or occur by chance
Sampling Plan: Subjects Ans✓✓✓ o Subjects: The sampling plan aims
to maximize generalization of the study findings.
,§ The participants in a quantitative study are called "subjects" and are
chosen using methods to ensure the sample represents the target
population as closely as possible.
Sampling Plan: Informants Ans✓✓✓ o Informants: The sampling plan
helps to establish credibility.
§ Instead of subjects, the participants in a qualitative study are called
"informants" or "respondents" and are chosen for their ability to provide
insight into the research question. Informants are selected from the
potential pool of subjects in a controlled manner called purposeful
selection. The researcher selects those subjects that are most likely to
inform the research question.
Sampling Strategy: Subject Number Ans✓✓✓ § An adequate number of
subjects is essential to a research study
§ This provides the study with the ability to accurately detect effects on
the outcome of interest, often called the study's power
· Power increases confidence that the results of the study are authentic
§ Though an adequate sample size is essential, failure to obtain enough
subjects may not be the fault of the researcher
§ A strong sampling strategy requires that the researcher ensures the
sample is representative of the target population and the size of the
sample is adequate
Sampling Strategy: Subject Selection Ans✓✓✓ § The first step of a
sampling strategy is to define the population of interest. Terms used to
describe a population often include:
, · age (adults, children, neonates)
· gender
· diagnosis
· setting
· geographic location
§ The available population is called the sampling frame, which includes
the potential subjects that match the description of the needed population
and are accessible to the researcher.
§ Once the population is defined, a selection strategy is developed to
choose the actual subjects from the sampling frame.
§ The goal of the selection strategy is to prevent selection bias.
Sampling Strategy: Subject Assignment Ans✓✓✓ § The assignment of
subjects to groups is impacted by two factors:
· Selection bias means that the sample is not an accurate representation
of the population. This problem may occur for two main reasons:
o The researcher influences the selection of subjects.
o The researcher influences the assignment of subjects to groups.
· Sampling bias occurs when the sample under-represents or over-
represents some characteristics. Homogeneity occurs when subjects have
very similar characteristics. Both issues make generalizing the study
findings to other populations difficult.
Inclusion and Exclusion Criteria Ans✓✓✓ o The use of objective
selection criteria and sound recruitment methods are appropriate for all
types of research
MEASUREMENT AND DATA COLLECTION (LATEST
UPDATE) REAL QUESTIONS AND VERIFIED ANSWERS
|100% CORRECT | ALREADY GRADED A
Target Population and Sample Ans✓✓✓ o Subject samples are designed
to represent a designated population in a research study.
Population Ans✓✓✓ This is the entire set of subjects who are of interest
to the researcher; sometimes called the target population. It is simply not
possible to study the entire population of interest.
Sample Ans✓✓✓ This is a subset of the target population that the
researcher will actually study. If strategically selected, the sample can
effectively represent the broader population.
Sampling Error Ans✓✓✓ o Data collected from a sample is not as
accurate as if collected from the entire population, so the study results
will never match the population perfectly
o Sampling error: Researchers use statistics to account for the difference
in population and sample numbers
o Chance/"Standard Error": Used to determine if the study results reflect
real effects or occur by chance
Sampling Plan: Subjects Ans✓✓✓ o Subjects: The sampling plan aims
to maximize generalization of the study findings.
,§ The participants in a quantitative study are called "subjects" and are
chosen using methods to ensure the sample represents the target
population as closely as possible.
Sampling Plan: Informants Ans✓✓✓ o Informants: The sampling plan
helps to establish credibility.
§ Instead of subjects, the participants in a qualitative study are called
"informants" or "respondents" and are chosen for their ability to provide
insight into the research question. Informants are selected from the
potential pool of subjects in a controlled manner called purposeful
selection. The researcher selects those subjects that are most likely to
inform the research question.
Sampling Strategy: Subject Number Ans✓✓✓ § An adequate number of
subjects is essential to a research study
§ This provides the study with the ability to accurately detect effects on
the outcome of interest, often called the study's power
· Power increases confidence that the results of the study are authentic
§ Though an adequate sample size is essential, failure to obtain enough
subjects may not be the fault of the researcher
§ A strong sampling strategy requires that the researcher ensures the
sample is representative of the target population and the size of the
sample is adequate
Sampling Strategy: Subject Selection Ans✓✓✓ § The first step of a
sampling strategy is to define the population of interest. Terms used to
describe a population often include:
, · age (adults, children, neonates)
· gender
· diagnosis
· setting
· geographic location
§ The available population is called the sampling frame, which includes
the potential subjects that match the description of the needed population
and are accessible to the researcher.
§ Once the population is defined, a selection strategy is developed to
choose the actual subjects from the sampling frame.
§ The goal of the selection strategy is to prevent selection bias.
Sampling Strategy: Subject Assignment Ans✓✓✓ § The assignment of
subjects to groups is impacted by two factors:
· Selection bias means that the sample is not an accurate representation
of the population. This problem may occur for two main reasons:
o The researcher influences the selection of subjects.
o The researcher influences the assignment of subjects to groups.
· Sampling bias occurs when the sample under-represents or over-
represents some characteristics. Homogeneity occurs when subjects have
very similar characteristics. Both issues make generalizing the study
findings to other populations difficult.
Inclusion and Exclusion Criteria Ans✓✓✓ o The use of objective
selection criteria and sound recruitment methods are appropriate for all
types of research
