WGU C985 Analytical
Methods of Health Leaders -
Topic 1 questions fully solved
& updated(graded A+)
ANOVA test - answer Analysis of Variance; used to compare three or more
independent continuous outcome variables; parametric
Chi-square test - answer Determine if an association exists between two
categorical variables.
Compares values you observe to expected.
Do men or women call out sick more to work? Variables of gender: male
and female. Expected value compared to observed value
Control group - answer In a healthcare environment, this group of
patients do not receive the treatment that is being studied.
Experimental group - answer This group of patients receive the
treatment being studied, and withfollow-up observation to determine the
effect of the treatment.
F-test - answer This test is designed to test if two population variances
are equal.The ratio of the two variances is compared. If they are equal,
the ratio of thevariances will be 1.
Frequency - answer Measure how often a particular value occurs to
assess the importance of a value or check the variation of the values in a
study.
,Hypothesis - answer A proposed explanation for an observation that
leads to a prediction.Through investigation and use of statistical data,
those doing the study will either confirm or reject the hypothesis. Testing
the hypothesis will show ifthere is a link (or not) between two or more
variables.
Integrity - answer Research always makes some assumptions, depending
on the type of method used. Research assumptions must be identified to
determine possible breaches of integrity.
Interval data - answer Data includes units of equal size, such as IQ
results. There isno zero point. An example of interval scale is time: Time is
measured in 24hours in each day; the time between each hour is the
same, 60 minutes.
Mean - answer This is the arithmetic average. Divide the sum of all
scores by thetotal number of scores.
Median - answer The blank is the midpoint of distribution of values, or
the point above orbelow which 50 percent of the values fall.
Mode - answer Blank is the value that occurs most frequently in the data.
Multivariate regression analysis - answer 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 - answer This data can be measured as a frequency or
percentage, and the meanof these data cannot be calculated. Nominal
data in healthcare might includedemographic information about patients.
The word nominal means"pertaining to a name".
Ordinal Data - answer The word ordinal means to "put in order."Ordinal
data can be measured as a frequency, and the mean of ordinal data
isoften calculated. Ordinal data in healthcare might include patient
satisfactionsurveys using a Likert scale.
, Parametric tests - answer These tests are based on probability
distributions. Non-parametric tests are used when data are not normally
distributed.
Pearson's correlation - answer This 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. Type of
regression analysis
Qualitative Research Methods - answer This research is aimed at
understanding perceptions, perspectives, interpretations, and opinions.
This research methods often nclude questionnaires, interviews, written
documents, observations, and focus groups.
Reliability - answer Blank is the degree to which an assessment tool
produces stable and consistent results
Validity - answer Blank refers to how well a test measures what it is
purported to measure.
Risk Adjustment - answer Blank is essential for comparing data across
systems,especially among patients with varying co-morbid 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 riskof a particular outcome.
Sample size - answer The design of the study provides insight into an
appropriate number andvolume of each variable. Calculation of statistical
confidence factors informs the validity testing of the study sample size.
It is usually expressed as a count and often includes the total number of
subjects in a study, the number of subjects in each group, and other
counts (such as the number of males and females, thenumber within each
age group, etc.).
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