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Wgu d514 analytical methods
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Wgu D514 Analytical Methods
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Healthcare Analytics for Quality and Performance Improvement
Wgu d514 analytical methods of health care leaders test / analytical methods of healthcare leaders wgu d514 test exam questions and correct answers (latest updated version ) new!!
wgu d514 analytical methods of health care leaders
wgu d514 analytical methods
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Wgu d514 analytical methods of health care leaders
test / analytical methods of healthcare leaders wgu
d514 test exam questions and correct answers (latest
updated version ) new!!
Subjects for a trial or test are assigned by chance to receive one of several clinical
interventions. One of the interventions is the control, which may be a standard
practice, placebo, or no intervention at all. - ANSWER: Randomized Control Study
Includes units of equal size, such as IQ results. There is no zero point. An example of
interval scale is time. Time is measured in 24 hours in each day; the time between
each hour is the same, 60 minutes. - ANSWER: Interval Data
Divide one quantity by another, and you have a value. You will have a proportion, a
percentage or a rate. - ANSWER: Ratio data
Can be measured as a frequency or percentage, and the mean of these data cannot
be calculated. Might include demographic information about patients. Means
"pertaining to a name." - ANSWER: Nominal Data
Means to "put in order." Can be measured as a frequency, and the mean ordinal
data is often calculated. Might include patient satisfaction surveys using a Likert
scale. - ANSWER: Ordinal Data
Help us make inferences or guess about a larger group of data by drawing
conclusions from a small group of data. Inferential statistics tell us if the difference in
outcome between the treatment group and the control group was significant. -
ANSWER: Inferential Statistics
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. - ANSWER: t-test
Determine if an association exists between two categorical variables. Compares
values you observe to expected.
Do men or women call out sick to work more?term-60 - ANSWER: Chi-square Test
Analysis of variance test. Used when there are two or more groups to compare.
A group of psychiatric patients are trying three different therapies: counseling,
medication, and biofeedback. You want to see if one therapy is better than others. -
ANSWER: ANOVA (analysis of variance) test
, Estimates relationships among variables. Used to analyze and adjust risk. Looks at
each measured factor to predict the risk of a particular outcome. Can include
multiple variables at one time. - ANSWER: Regression Analysis
Can be used to analyze and adjust risk. This analysis model contrast search measured
factor to the patient's risk of a particular outcome. - ANSWER: Multivariate
Regression Analysis
The purpose is to determine the relationship between several independent or
predictor variables and a dependent variable - ANSWER: Multiple Regression
Used to study linear relationship between a dependent variable (risk of skin cancer)
to one or more independent variables (age, sun exposure, gender, use of tanning
beds). - ANSWER: Linear Regression
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.
Type of regression analysis. - ANSWER: Pearson's Correlation
Measures strength and direction of a linear relationship between 2 variables on a
scatter plot.
Looks for not only the relationship, but the magnitude of association. It is not cause
and effect, just relationship. - ANSWER: Correlation Coefficient
Used when making comparisons or evaluating data over equally spaced points in
time. Example: comparing monthly mortality data from one year to the next. -
ANSWER: Time Series Analysis
Used when determining the effect of an intervention. Measurement is taken or data
gathered before the intervention, then again afterward to look for changes. -
ANSWER: Pre-test - Post-test
Also called a prevalence study, it gathers and analyzes data from a population or
subset of a population at a specific point in time or place.
For example, a group of physicians may wish to do a cross-sectional study to see how
many of their patients ages 10-14 are on medication for ADHD. - ANSWER: Cross-
Sectional Research
States that the two groups we are studying are different: this is the researcher's
hypothesis, the alternative model that you want to consider. The burden of proof
lies with the researcher. - ANSWER: Alternative Hypothesis
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