Analytical Methods of Healthcare
Leaders questions and answers
ANOVA test - -analysis of variance used in research studies where there are two or more groups
to compare
-Chi-square test - -determine if an association exists between two categorical variables
-F-Test - -test if two population variances are equal. If the variances are equal the ratio will be 1
-interval data - -units of equal size. there is no zero point
-multivariate regression analyses - -used to analyze and adjust risk. Contrasts each measured
factor to the patient's risk of a particular outcome
-nominal data - -measured as a frequency or percentage. the mean cannot be calculated
-ordinal data - -measured as a frequency and the mean can be calculated
-parametric tests - -based on probability distributions
-nonparametric tests - -Used when data are not normally distributed or do not meet other criteria
for parametric tests (e.g., discrete data). May also be used for continuous data that do not meet
the assumptions of the t-test or ANOVA
-Pearsons correlation - -determines the extent to which a change in one variable tends to be
associated with a change in another
-t-test - -compare whether two groups have different average values
-confounding variable - -obscures the effect of another variable
-dichotomous variable - -binary variable
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Leaders questions and answers
ANOVA test - -analysis of variance used in research studies where there are two or more groups
to compare
-Chi-square test - -determine if an association exists between two categorical variables
-F-Test - -test if two population variances are equal. If the variances are equal the ratio will be 1
-interval data - -units of equal size. there is no zero point
-multivariate regression analyses - -used to analyze and adjust risk. Contrasts each measured
factor to the patient's risk of a particular outcome
-nominal data - -measured as a frequency or percentage. the mean cannot be calculated
-ordinal data - -measured as a frequency and the mean can be calculated
-parametric tests - -based on probability distributions
-nonparametric tests - -Used when data are not normally distributed or do not meet other criteria
for parametric tests (e.g., discrete data). May also be used for continuous data that do not meet
the assumptions of the t-test or ANOVA
-Pearsons correlation - -determines the extent to which a change in one variable tends to be
associated with a change in another
-t-test - -compare whether two groups have different average values
-confounding variable - -obscures the effect of another variable
-dichotomous variable - -binary variable
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