Quantitative Methods for Health Services - Assignment Analysis

This assignment solution addresses a quantitative methods assignment in health services, focusing on data analysis and interpretation. The assignment explores different aspects of health services, including gender, age, convenience satisfaction, and Rx coverage. The solution involves identifying variable types, suggesting statistical measures, and performing hypothesis testing. The document details the use of ANOVA and other statistical methods to analyze data and draw conclusions. The solution also covers the creation of hypotheses and the interpretation of results, providing insights into patient satisfaction, co-pay, and Rx coverage. The assignment utilizes the provided data to explore relationships between variables and to demonstrate understanding of quantitative methods in a healthcare context.

QUANTITATIVE METHODS FOR HEALTH SERVICES 1
Quantitative methods for health services
Name of student
Name of institution
Date

QUANTITATIVE METHODS FOR HEALTH SERVICES 2
Quantitative methods for health services
Question 2.1 your organization collects data on individual patients as shown in Appendix table 2.
Identify whether each variable is measured normally, ordinally or as an interval/ratio variable
The gender variable is measured nominally. The age variable is measured ordinally. The
convenience satisfaction is measured as an interval/ ratio variable. The insure is an ordinal
variable. The same day appointment, Rx coverage and the co pay are measured as ordinal values.
Question 2-2 What statistical measures would you use to summarize the variable for age? What
about for gender? For convenience satisfaction? How would you present these graphically?
The statistical measures used to summarize the variable for gender is natural ranking. Age can be
coded using mean, median, standard deviation or mode. Convenience satisfaction can be coded
using mean, median and standard deviation. Age can be represented on a bar graph. Convenience
satisfaction can be represented on a line graph or on a bar graph with standard deviation bars.
Question 2-3 if you are interested in whether satisfaction scoring differed by the amount the
individual paid as a co pay, how would you state this inquiry as testable hypotheses (the null and
alternative)? What statistical tests would you run to test this hypothesis
The inquiry can be stated as ‘the satisfaction scoring is directly proportional to the co pay. The
hypothesis can be tested using anova testing
Question 2-4 perform the test defined in table 2-3. State your conclusions

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The conclusion shows that the patients who had a higher satisfaction scoring were more likely to
pay a higher price for the services
2-5 compare gender and having Rx coverage. State your hypothesis. Perform the appropriate
statistical test and interpret
Comparison of gender and Rx coverage shows that more females have Rx coverage as compared
to males. The hypothesis sis that there are more females with Rx coverage. The statistical test
that can be done is ANOVA. It is evident that the females have a higher probability of acquiring
Rx coverage (Lewis, McGrath, & Seidel, 2011).

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References
Lewis, J., McGrath, R., & Seidel, L. (2011). Essentials of Applied Quantitative Methods for
Health Services. Jones & Bartlett Learning.