Project #9068 - Biostats/ Data Set

***Data set can not be uploaded. To view data set SPSS program reuqired. Please email to get the data set SPSS file**

 

 

DATA ANALYSIS PROJECT

 

The final project will allow you to apply statistical methods that you learned throughout the semester to a problem in public health.  You will be presented with a specific research objectives and write up findings based on your statistical analyses. This project is not intended to result in a full research paper as the main focus will lie in statistical analyses and not in the literature review or methods description. You should prepare a short presentation of your findings (5-7 minutes) which you will present on 7/22/13 in class.

The problem: You have been asked to assist with data analysis for a study of medical care utilization by the elderly.

The objective of the study is to uncover factors that are associated with increased use of medical care, measured in two ways: 1) as a number of physician office visits per year, and 2) as having four or fewer physician office visits per year vs. more than four visits per year.

The data:

Data source: Source: Partha Deb and Pravin K. Trivedi, "Demand for Medical Care by the Elderly: A Finite Mixture Approach", Journal of Applied Econometrics, Vol. 12, No. 3, 1997, pp. 313-336. http://qed.econ.queensu.ca/jae/1997-v12.3/deb-trivedi/.

 

The dataset ELDERY.SAV contains the following variables:

Response variables:

-       number of physician office visits per year (quantitative variable)

-       four or fewer physicians visits per year vs. more than 4 visits per year (categorical variable)

Explanatory variables:

-       self-perceived health status (poor, average excellent)

-       presence of chronic conditions (yes, no)

-       owning private insurance (yes, no)

-       gender (male, female)

-       education (number of years of education)

-       age (in years)

 

 

 The report: Your report should contain the following sections:

1.     Introduction to the problem.

 

This section should provide a brief overview of the problem and it’s the significance. You should not conduct a full literature review; however you can include relevant information from one or two published papers on the topic. This section should conclude with a statement of your research objectives to set up your analysis. This section should not exceed 1-2 paragraphs.

 

2.     Descriptive Statistics.

This section should include a thorough descriptive analysis. Use appropriate analyses for your variables; keep in mind that certain analyses are appropriate for specific variable types.  Provide summary statistics in both tabular and graphical forms, and remember to label your graphs and tables (Table 1, Figure 1, etc.) as well as provide succinct and descriptive titles for both.

3.     Study findings, including description of methods used.

Conduct meaningful analyses of both response variables and include narrative interpretations of your findings. Provide description of methodology used for each analysis included in your paper, e.g. if you stated that you examined a relationship between a number of physician visits per year and gender, then provide a brief rationale for using a t-test to answer this specific research question. Organize this section to clearly indicate analyses of each response variable, e.g. by using sub-headings. Provide relevant, clearly labeled SPSS output to show your analysis.

4.     Summary and conclusions.

Briefly summarize your findings and provide final remarks about the meaning of your conclusions. You may include your thoughts about the limitations of your study and future directions. This section should not exceed 1-2 paragraphs.

 

The report should not exceed 8 pages in total (double spaced).

 

 

 

 

GRADING RUBRICS:

A:

Appropriate description of the data and use of graphs and tables

Appropriate description of statistical methods used

Thoughtful interpretation of the results

Clear and organized report (e.g. sections are clearly marked, tables and graphs are labeled, etc.)

B:

Appropriate description of the data and use of graphs and tables

Appropriate statistical methods used but few are sophisticated

Interpretation of the results

Report is somewhat unstructured 

 

C and below:

Only basic description of the data and statistical methods are used, some incorrectly

Conclusions are not supported by the analysis

Report is hard to read  

Subject Mathematics
Due By (Pacific Time) 07/19/2013 01:00 pm
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