WGU D514 ACTUAL EXAM STUDY QUESTIONS WITH
VERIFIED ANSWERS ALREADY GRADED A+
1. Quantitative Research - ANSWER Involves the analysis of numeric data,
employing statistical methods to draw conclusions and make inferences.
This type of research focuses on variables and aims to measure and quantify
relationships between variables, providing numerical insights.
2. Example of Quantitative Research - ANSWER Studying the efficacy and
safety of a specific medication in treating a particular medical condition
compared to other treatments or placebo.
3. Example of Quantitative Research - ANSWER Investigating the correlation
between specific genetic markers and the risk of developing certain diseases
or conditions, such as the BRCA gene and breast cancer risk.
4. Example of Quantitative Research - ANSWER Analyzing the cost-
effectiveness of a particular medical intervention or treatment, such as a new
drug or surgical procedure.
5. Example of Quantitative Research - ANSWER Assessing the impact of a
specific public health intervention, such as a vaccination program, on
disease incidence and prevalence.
6. Ordinal Variable - ANSWER Type of variable where the order or ranking
of values matters, but the differences between values may not be uniform. In
these, the intervals between values are not consistent. An example is a pain
scale where the order of pain severity matters, but the difference between a
rank of "7" and "5" may not be the same as between "5" and "3".
,7. Interval Variable - ANSWER Difference between two values or numbers.
For example, body temperature, height, weight, age etc
8. Ratio Variable - ANSWER Defines rates or numbers. For example, UTI
rates a nursing home, male female proportion of a disease, percentage of
hospital readmissions etc
9. Independent Variable - ANSWER Control. Doesn't change. It is
manipulated or controlled in experiments to observe its impact on the
outcome.
10.Dependent Variable - ANSWER Experimental, changeable. The outcome or
response being studied.
11.Confounding Variables - ANSWER May obscure the effect of the variables
in the data. They are often uncontrollable by the researcher.
12.Continuous Variable - ANSWER Meaningful difference between values
13.Dichotomous Variable - ANSWER Occurs in two possible states. For
example; diabetic or non-diabetic
14.Randomized Control Trial - ANSWER A scientific study design in which
individuals are randomly assigned to receive one of several clinical
interventions. The interventions include the experimental treatments and a
control, which can be standard practice, placebo, or no intervention at all.
Helps minimize bias and ensured that any observed effects are likely due to
the treatment rather than the other
,15.Demographic Statistic - ANSWER Looking at a specific population or
group. Example; women between 40-50 who live in Shelby, Montana
16.Focus Group - ANSWER A demographically diverse group of people
assembled to participate in a guided discussion about particular products or
processes.
17.Case Study - ANSWER A type of non-participant observation in which
researchers investigate one person, one group, or one institution in depth.
18.The p-value - ANSWER Helps to assess whether differences between the
observed value and expected value represent chance
19.P-Value - ANSWER Level of probability. The lower the value, the less
probable the results occurred by chance.
20.Null hypothesis - ANSWER Two groups being studied that are the same. It
serves as the default assumption to be tested against the alternative
hypothesis
21.Alternative Hypothesis - ANSWER Asserts that the two groups being
studied are different. It is the researcher's hypothesis, representing this
model under consideration.
22.Sensitivity Analysis - ANSWER The examination of how uncertainties in
the output of a mathematical model or system can be attributed to various
sources of uncertainty in its inputs.
, 23.Sensitivity Analysis - ANSWER Examples of this is: When used in clinical
trials, it is the increasing of a dose of a new drug in a small increment, to
look for changes and strengthen any conclusions
24.Factor Analysis - ANSWER Process in which the values of observed data
are expressed as functions of a number of possible causes in order to find
which are the most important.
25.Risk Stratification - ANSWER Used to classify patients into level of risk
26.Stratification Analysis - ANSWER The process of dividing a population
into homogenous subgroups before sampling. Allows for the examination of
specific characteristics within each subgroup, providing more nuanced
insights into the overall population
27.Key Characteristics of Quantitative Research - ANSWER Numeric -
measurable, graphs, tables, etc.
28.Key Characteristics of Quantitative Research - ANSWER Verifiable,
accurate - value of the data is in the number.
29.Key Characteristics of Quantitative Research - ANSWER Examples are
sample size (n), mean, median, mode, range, standard deviation.
30.Qualitative Research - ANSWER Involves the analysis of non-numeric
data, describing observations, experiences, or phenomena. Qualitative
research relies on methods such as interviews, observations, or content
analysis to gather and interpret subjective information. The data is often
categorized before summarizing, allowing for a deeper understanding of
complex and context-specific phenomena.
VERIFIED ANSWERS ALREADY GRADED A+
1. Quantitative Research - ANSWER Involves the analysis of numeric data,
employing statistical methods to draw conclusions and make inferences.
This type of research focuses on variables and aims to measure and quantify
relationships between variables, providing numerical insights.
2. Example of Quantitative Research - ANSWER Studying the efficacy and
safety of a specific medication in treating a particular medical condition
compared to other treatments or placebo.
3. Example of Quantitative Research - ANSWER Investigating the correlation
between specific genetic markers and the risk of developing certain diseases
or conditions, such as the BRCA gene and breast cancer risk.
4. Example of Quantitative Research - ANSWER Analyzing the cost-
effectiveness of a particular medical intervention or treatment, such as a new
drug or surgical procedure.
5. Example of Quantitative Research - ANSWER Assessing the impact of a
specific public health intervention, such as a vaccination program, on
disease incidence and prevalence.
6. Ordinal Variable - ANSWER Type of variable where the order or ranking
of values matters, but the differences between values may not be uniform. In
these, the intervals between values are not consistent. An example is a pain
scale where the order of pain severity matters, but the difference between a
rank of "7" and "5" may not be the same as between "5" and "3".
,7. Interval Variable - ANSWER Difference between two values or numbers.
For example, body temperature, height, weight, age etc
8. Ratio Variable - ANSWER Defines rates or numbers. For example, UTI
rates a nursing home, male female proportion of a disease, percentage of
hospital readmissions etc
9. Independent Variable - ANSWER Control. Doesn't change. It is
manipulated or controlled in experiments to observe its impact on the
outcome.
10.Dependent Variable - ANSWER Experimental, changeable. The outcome or
response being studied.
11.Confounding Variables - ANSWER May obscure the effect of the variables
in the data. They are often uncontrollable by the researcher.
12.Continuous Variable - ANSWER Meaningful difference between values
13.Dichotomous Variable - ANSWER Occurs in two possible states. For
example; diabetic or non-diabetic
14.Randomized Control Trial - ANSWER A scientific study design in which
individuals are randomly assigned to receive one of several clinical
interventions. The interventions include the experimental treatments and a
control, which can be standard practice, placebo, or no intervention at all.
Helps minimize bias and ensured that any observed effects are likely due to
the treatment rather than the other
,15.Demographic Statistic - ANSWER Looking at a specific population or
group. Example; women between 40-50 who live in Shelby, Montana
16.Focus Group - ANSWER A demographically diverse group of people
assembled to participate in a guided discussion about particular products or
processes.
17.Case Study - ANSWER A type of non-participant observation in which
researchers investigate one person, one group, or one institution in depth.
18.The p-value - ANSWER Helps to assess whether differences between the
observed value and expected value represent chance
19.P-Value - ANSWER Level of probability. The lower the value, the less
probable the results occurred by chance.
20.Null hypothesis - ANSWER Two groups being studied that are the same. It
serves as the default assumption to be tested against the alternative
hypothesis
21.Alternative Hypothesis - ANSWER Asserts that the two groups being
studied are different. It is the researcher's hypothesis, representing this
model under consideration.
22.Sensitivity Analysis - ANSWER The examination of how uncertainties in
the output of a mathematical model or system can be attributed to various
sources of uncertainty in its inputs.
, 23.Sensitivity Analysis - ANSWER Examples of this is: When used in clinical
trials, it is the increasing of a dose of a new drug in a small increment, to
look for changes and strengthen any conclusions
24.Factor Analysis - ANSWER Process in which the values of observed data
are expressed as functions of a number of possible causes in order to find
which are the most important.
25.Risk Stratification - ANSWER Used to classify patients into level of risk
26.Stratification Analysis - ANSWER The process of dividing a population
into homogenous subgroups before sampling. Allows for the examination of
specific characteristics within each subgroup, providing more nuanced
insights into the overall population
27.Key Characteristics of Quantitative Research - ANSWER Numeric -
measurable, graphs, tables, etc.
28.Key Characteristics of Quantitative Research - ANSWER Verifiable,
accurate - value of the data is in the number.
29.Key Characteristics of Quantitative Research - ANSWER Examples are
sample size (n), mean, median, mode, range, standard deviation.
30.Qualitative Research - ANSWER Involves the analysis of non-numeric
data, describing observations, experiences, or phenomena. Qualitative
research relies on methods such as interviews, observations, or content
analysis to gather and interpret subjective information. The data is often
categorized before summarizing, allowing for a deeper understanding of
complex and context-specific phenomena.
