WGU D514 CORE EXAMS MAIN QUESTIONS AND
ANSWERS SURE A+
✔✔Mode - ✔✔Mode is the value that occurs most frequently in the data.
✔✔Multivariate regression analyses - ✔✔Multivariate regression analyses can be used
to analyze and adjust risk. This analysis model contrasts each measured factor to the
patient's risk of a particular outcome.
✔✔Nominal data - ✔✔Nominal data can be measured as a frequency or percentage,
and the mean of these data cannot be calculated. Nominal data in healthcare might
include demographic information about patients. The word nominal means "pertaining to
a name."
✔✔Ordinal data - ✔✔Ordinal data can be measured as a frequency, and the mean of
ordinal data is often calculated. Ordinal data in healthcare might include patient
satisfaction surveys using a Likert scale. The word ordinal means to "put in order."
✔✔Parametric and nonparametric tests - ✔✔Parametric tests are based on probability
distributions. Nonparametric tests are used when data are not normally distributed.
✔✔Pearson's correlation - ✔✔Pearson's correlation is used with interval and ordinal
scale data and determines the extent to which a change in one variable tends to be
associated with a change in another.
✔✔Qualitative research methods - ✔✔Qualitative research is aimed at understanding
perceptions, perspectives, interpretations, and opinions. Qualitative research methods
often include questionnaires, interviews, written documents, observations, and focus
groups.
✔✔Ratio data - ✔✔Divide one quantity by another, and you have a value. You will have
a proportion, a percentage or a rate.
, ✔✔Reliability, validity, and analysis of questionnaires - ✔✔Questionnaires can be
evaluated for reliability based on their consistency (stability) or repeatability over time;
questionnaires are valid if they measure or record what they purport to measure. Data
from questionnaires may then be grouped according to nominal, ordinal, or interval or
ratio data.
✔✔Research - ✔✔Research can inform decisions regarding the development and
efficacy of new processes, systems, technologies, environments, and organizational
structures to support operations.
✔✔Research platform - ✔✔Research is built on a platform of previous knowledge, the
scientific method.
✔✔Risk adjustment - ✔✔Risk adjustment is essential for comparing data across
systems, especially among patients with varying comorbid diseases and complex
treatment modalities. Multivariate regression analyses can be used to analyze and
adjust risk. This analysis model looks at each measured factor to the patient's risk of a
particular outcome.
✔✔Risk of error and harm - ✔✔Studies should include an analysis of any sources of
error as well as a thorough explanation of the consequences associated with a
particular study treatment.
✔✔Sample size - ✔✔The design of the study provides insight into an appropriate
number and volume of each variable. The calculation of statistical confidence factors
informs the validity testing of the study sample size.
✔✔Standard Deviation - ✔✔Standard deviation determines the amount of variance in a
set of data and evaluates the degree to which each case deviates from the average, or
mean.
✔✔Statistical significance - ✔✔The observation is statistically significant if the null
hypothesis is rejected. In a research study, the null hypothesis states there is no
association between the independent and dependent variables in a study.
✔✔t-test - ✔✔The t-test helps the researcher to compare whether two groups have
different average values. A paired t-test is used when each observation in one group is
paired with a related observation in another.
✔✔Variables - ✔✔The independent variable is the factor that is directly manipulated by
the researchers. The dependent variable is the measurable variable that depends on
the independent variable.
ANSWERS SURE A+
✔✔Mode - ✔✔Mode is the value that occurs most frequently in the data.
✔✔Multivariate regression analyses - ✔✔Multivariate regression analyses can be used
to analyze and adjust risk. This analysis model contrasts each measured factor to the
patient's risk of a particular outcome.
✔✔Nominal data - ✔✔Nominal data can be measured as a frequency or percentage,
and the mean of these data cannot be calculated. Nominal data in healthcare might
include demographic information about patients. The word nominal means "pertaining to
a name."
✔✔Ordinal data - ✔✔Ordinal data can be measured as a frequency, and the mean of
ordinal data is often calculated. Ordinal data in healthcare might include patient
satisfaction surveys using a Likert scale. The word ordinal means to "put in order."
✔✔Parametric and nonparametric tests - ✔✔Parametric tests are based on probability
distributions. Nonparametric tests are used when data are not normally distributed.
✔✔Pearson's correlation - ✔✔Pearson's correlation is used with interval and ordinal
scale data and determines the extent to which a change in one variable tends to be
associated with a change in another.
✔✔Qualitative research methods - ✔✔Qualitative research is aimed at understanding
perceptions, perspectives, interpretations, and opinions. Qualitative research methods
often include questionnaires, interviews, written documents, observations, and focus
groups.
✔✔Ratio data - ✔✔Divide one quantity by another, and you have a value. You will have
a proportion, a percentage or a rate.
, ✔✔Reliability, validity, and analysis of questionnaires - ✔✔Questionnaires can be
evaluated for reliability based on their consistency (stability) or repeatability over time;
questionnaires are valid if they measure or record what they purport to measure. Data
from questionnaires may then be grouped according to nominal, ordinal, or interval or
ratio data.
✔✔Research - ✔✔Research can inform decisions regarding the development and
efficacy of new processes, systems, technologies, environments, and organizational
structures to support operations.
✔✔Research platform - ✔✔Research is built on a platform of previous knowledge, the
scientific method.
✔✔Risk adjustment - ✔✔Risk adjustment is essential for comparing data across
systems, especially among patients with varying comorbid diseases and complex
treatment modalities. Multivariate regression analyses can be used to analyze and
adjust risk. This analysis model looks at each measured factor to the patient's risk of a
particular outcome.
✔✔Risk of error and harm - ✔✔Studies should include an analysis of any sources of
error as well as a thorough explanation of the consequences associated with a
particular study treatment.
✔✔Sample size - ✔✔The design of the study provides insight into an appropriate
number and volume of each variable. The calculation of statistical confidence factors
informs the validity testing of the study sample size.
✔✔Standard Deviation - ✔✔Standard deviation determines the amount of variance in a
set of data and evaluates the degree to which each case deviates from the average, or
mean.
✔✔Statistical significance - ✔✔The observation is statistically significant if the null
hypothesis is rejected. In a research study, the null hypothesis states there is no
association between the independent and dependent variables in a study.
✔✔t-test - ✔✔The t-test helps the researcher to compare whether two groups have
different average values. A paired t-test is used when each observation in one group is
paired with a related observation in another.
✔✔Variables - ✔✔The independent variable is the factor that is directly manipulated by
the researchers. The dependent variable is the measurable variable that depends on
the independent variable.
