analysis of dataset
The purpose of this paper is to show your expertise in performing descriptive and inferential SAS analyses. Additionally, writing your paper will give you some experience of how to correctly discuss your work and results in a clear and concise manner.My SAS account information is:
User ID: Zozolott0
Password: EDUcation19*
https://odamid.oda.sas.com/SASLogon/login?service=…
I have also attached the codes I utilized to pull the data.
I wanted to see if there was a correlation between weight, smoking and the cause of death in the lifestyle of the study group.
Honestly if you don’t think that would yield a strong analysis or you want to do something easier for time purposes I’ll be okay with it.
The SAS Code to identify the variables is:
PROC CONTENTS DATA = SASHELP.HEART; RUN;
Your completed final analysis project will be graded based on the following criteria:
- Introduction (10 points)
- Methods (20 points)
- Discussion (45 points)
- Conclusion (10 points)
- Proper grammar and sentence structure used for clear and concise writing (5 points)
- SAS results printed out in RTF format and results being reported in paper highlighted (5 points)
- SAS code copied and pasted into the same Word document as your paper (5 points)
Your paper should be in APA format – that is, double-spaced, with a title page, header with page number and 1 inch margin on all sides. You can find a good reference to APA style here. https://owl.english.purdue.edu/owl/resource/560/01/
Parts 1-4 of your paper should be between 6- 10 pages, double-spaced (not including tables). After 10 pages I will stop reading (seriously). If it is much less than 6 pages, you probably left something important out. If it is over 10 pages, you are probably going off-topic.
Part 7 should include approximately 25 pages of SAS results printed out in RTF format and the specific sections where you obtained the results you are reporting in the paper highlighted, so that it is very clear where your answers are coming from. This part is essential, so that I can double-check and confirm that you have run your analyses in the correct manner and that you are reporting the appropriate results.If your results are not highlighted, and I have to hunt for your answers, you will lose points on this section.
Descriptive Analysis
Make sure your paper has four distinct parts (shown in the table below) that flow well and transition as seamlessly as possible into one another. The main point of this final paper is to state the conclusions you’ve reached from all the various analyses you have performed, and use these conclusions to answer your overall research question. You should write the paper as if your reader does not have an extensive background in biostatistics. When you write as if your reader is a novice, this will force you to be very detailed in your explanations, and will help you to write in a much clearer and well-thought-out manner.
Inferential Analysis
After you have written up the findings for your descriptive data analysis, your next step is to conduct inferential data analysis and report those findings. Now you are moving from just describing the individual variables of interest to investigating whether there are statistically significant relationships among your variables of interest. These inference tests will help you answer your main research question.
The purpose of this assignment is to provide a second rough draft of another main section of your analysis paper (the inferential statistics), so that you can receive feedback on your methods. Your inferential data analysis should include more than one inferential test. This could just be an ANOVA with an examination of the overall F-test and discussion of the post-hoc tests. It could also be a chi-square and a logistic regression. Any of the tests of inference discussed in Chapters 7 and 9 of your textbook are fair game for you to use.
Please use the following as a guideline for what you are required to include in the paper and how your paper will be graded:
Criteria |
Maximum Points Possible |
Introduction:
|
10 points
|
Methods:
|
20 points
|
Discussion:
|
45 points
|
Conclusion:
|
10 points
|
Proper grammar and sentence structure used for clear and concise writing |
5 points |
SAS Results that show where the results you are actually reporting came from should be printed out into RTF format and the sections where you directly obtained results should be highlighted, so that it is clear to see where you obtained your final answers |
5 points |
SAS Codes used for your analyses (copied and pasted into the Appendix of your paper) |
5 points |
TOTAL SCORE |
100 points |
PLEASE REMEMBER:
- Your paper should be in APA format – that is, double-spaced, with a title page, header with page number, and 1 inch margins on all sides. You can find a good reference to APA style here: https://owl.english.purdue.edu/owl/resource/560/01/
- A data dictionary has been created for these three datasets, which will give you detailed information about the variables available for you to use in these datasets for your analysis project. The data dictionary can be found on the class website.
- Additional resources to help you with the data analysis (SAS coding) AND writing process for your analysis project can be found on Blackboard. You have many resources to help you with this project. It is up to you to use them.
Paper Length
The length of your paper should be a minimum of 7 pages, double-spaced (not including tables, graphs, or charts). After 10 pages I will stop reading (seriously). If it is much less than 7 pages, you probably left something important out. If it is over 10 pages, you are probably going off-topic.
Descriptive Tables
You can, and should, add tables (that you create) to your paper, but make sure you have achieved your minimum of 6 pages of text. In other words, do not use visual representations of your findings as filler for your paper. I will be able to notice any attempts to pad your paper. Tables are a good way to illustrate what you are writing about in your Discussion section, and you must make sure to clearly discuss any tables presented in your paper.
Tables are a good way to illustrate what you are writing about in your Discussion section. Any results or findings you present in a table, within the body of your paper, must be explained and discussed.