D514 Analytical Methods of Healthcare Leaders Exam
With Well Detailed Question & Answers Perfectly A+
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ANOVA test ANSWER>>>>-Analysis of variance (ANOVA) may be used in research studies
where there are two or more groups to compare.
Chi-square tests ANSWER>>>>-Chi-square tests determine if an association exists
between two categorical variables.
Control group ANSWER>>>>-In a healthcare environment, this group of patients does
not receive the treatment that is being studied.
Experimental group ANSWER>>>>-This group of patients receives the treatment being
studied with follow-up observation to determine the effect of the treatment.
F-test ANSWER>>>>-The F-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 the variances will be 1.
1
,Frequency ANSWER>>>>-Frequencies 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 the use of statistical data, those doing the study will
either confirm or reject the hypothesis. Testing the hypothesis will show if there 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>>>>-Interval data 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.
Mean ANSWER>>>>-Mean is the arithmetic average. Divide the sum of all scores by the
total number of scores.
Median ANSWER>>>>-Median is the midpoint of the distribution of values, or the point
above or below which 50 percent of the values fall.
Methods section components ANSWER>>>>-When analyzing the quality of a study, a
careful evaluation of the research methods can reveal critical details about population and
sample, covariables and hypothesis, data presentation, statistical analysis, and study limitations.
Misleading statistics ANSWER>>>>-Interpreting and presenting the results of data
analysis affords many opportunities for accidental or deliberate misrepresentations of data.
2
, Common examples include implying causation, extrapolating beyond the reasonable, relying on
a biased or incomplete sample, and using inappropriate graphical representations.
Mode ANSWER>>>>-Mode is the value that occurs most frequently in the data.
Multivariate regression analyses ANSWER>>>>-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 ANSWER>>>>-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 ANSWER>>>>-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 ANSWER>>>>-Parametric tests are based on
probability distributions. Nonparametric tests are used when data are not normally distributed.
Pearson's correlation ANSWER>>>>-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 ANSWER>>>>-Qualitative research is aimed at
understanding perceptions, perspectives, interpretations, and opinions. Qualitative research
3
With Well Detailed Question & Answers Perfectly A+
Graded Newest Updated Versions
ANOVA test ANSWER>>>>-Analysis of variance (ANOVA) may be used in research studies
where there are two or more groups to compare.
Chi-square tests ANSWER>>>>-Chi-square tests determine if an association exists
between two categorical variables.
Control group ANSWER>>>>-In a healthcare environment, this group of patients does
not receive the treatment that is being studied.
Experimental group ANSWER>>>>-This group of patients receives the treatment being
studied with follow-up observation to determine the effect of the treatment.
F-test ANSWER>>>>-The F-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 the variances will be 1.
1
,Frequency ANSWER>>>>-Frequencies 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 the use of statistical data, those doing the study will
either confirm or reject the hypothesis. Testing the hypothesis will show if there 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>>>>-Interval data 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.
Mean ANSWER>>>>-Mean is the arithmetic average. Divide the sum of all scores by the
total number of scores.
Median ANSWER>>>>-Median is the midpoint of the distribution of values, or the point
above or below which 50 percent of the values fall.
Methods section components ANSWER>>>>-When analyzing the quality of a study, a
careful evaluation of the research methods can reveal critical details about population and
sample, covariables and hypothesis, data presentation, statistical analysis, and study limitations.
Misleading statistics ANSWER>>>>-Interpreting and presenting the results of data
analysis affords many opportunities for accidental or deliberate misrepresentations of data.
2
, Common examples include implying causation, extrapolating beyond the reasonable, relying on
a biased or incomplete sample, and using inappropriate graphical representations.
Mode ANSWER>>>>-Mode is the value that occurs most frequently in the data.
Multivariate regression analyses ANSWER>>>>-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 ANSWER>>>>-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 ANSWER>>>>-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 ANSWER>>>>-Parametric tests are based on
probability distributions. Nonparametric tests are used when data are not normally distributed.
Pearson's correlation ANSWER>>>>-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 ANSWER>>>>-Qualitative research is aimed at
understanding perceptions, perspectives, interpretations, and opinions. Qualitative research
3
