HSA 523 Health Data Analysis
Spring 2006
Dr. Robert Jantzen
Economics Department

 
 

Where and When
Course Description
Course Objectives
Teaching Method
 Text
Course Grading
Term Project
Course Outline
Homeworks
Web-Based Help
Course Software
Contact Information
Stat Tables & Calculators
 
Announcements

Where and When

In the Spring of 2006, this course meets on Thursday nights at 6:30 p.m. in Doorley 118.
 

Course Description

This course will develop the principles of data analysis.  The course will first focus on data collection, then descriptive statistics, and finally inferential statistics. The course will integrate computerized statistical methods throughout.   No prerequisites.  3 credits.
 

Course Objectives

The primary objective of this course is to make students competent practitioners of statistical analysis, capable of collecting, describing and making inferences from data.
 

Teaching Method:

This course will rely principally on lecture and discusssion, augmented by SPSS statistical programming demonstrations and labs.
 

Text:

Levine, D. M., Krehbiel, T. C., & Berenson, M. L.,  Business Statistics: A First Course (4th Ed.). Upper Saddle River, NJ: Prentice Hall, 2003 (ISBN: 0131547143). 

Course Requirements and Grading:

      Homework will be assigned nearly every class and students are strongly urged to complete those assignments.  However, student grades in this course will reflect assessment only in the following areas: 

Exam #1            (relative weight = .50) 
Final Exam         (relative weight = .50) 
Term Project      (relative weight = .50) 

     The final course grade will be computed by taking the weighted average of the best 2 of the above 3 grades.  In addition, academic dishonesty will be penalized as follows: plagiarism (the copying of text from other sources without the use of quotation marks and proper citation) and/or cheating will result in a grade of F for the paper/exam involved.   Lastly, students having excessive absences (five or more) will receive the grade of FA (failed for absence).
 

Term Project:

The term project will require the student to analyze the relationships between (1) some dependent variable and at least three explanatory variables, or (2) some explanatory variable and at least three dependent variables.  Students may assemble data themselves, use one of the data bases described below or utilize published summary statistics.  The project must be submitted as a single document, double spaced, in a standard word processing format (i.e., *doc or *pdf).   Charts and tables should be included in the body of the text, while additional statistical results generated by SPSS/Phstat/Excel should be included in an Appendix.

A.  Organization and Content:

     The following describes how the term project should be organized, and what information should be included in each section:

    Section                                                     Content
I.  Introduction Provide a brief overview of the term paper’s research objectives and findings.
II. Literature Review Provide a summary of the findings of at least one other study that has examined the behavior of the dependent variable(s) that is (are) the focus of the term paper.
III.  Data and Method  Provide a description of each of the variables in the study and how they are measured.  This section should also describe how each variable is distributed with appropriate descriptive statistics and charts.  This section should also describe the statistical methods used for assessing whether a significant relationship exists between the dependent variable(s) and any of the explainers. The hypotheses being tested, statistics computed, and findings reported should be explained fully.  Any statistical programming "printouts" that form the basis for the analysis must be appended at the end of the paper.
IV.  Summary Provide a brief summary of the term project’s results and any policy implications they might impart.

B.  Data Bases:

    You may use one of the following databases to complete the term project, or you may collect data on your own and create your own database using the SPSS program.  To examine the contents of any of the databases listed below, first click on a file's link.  If SPSS is installed on the computer you are using, the SPSS program should start up and display the data in that file.  If the SPSS program doesn't start when you click on the file link, you'll first have to save the file to your floppy/zip disk or the hard drive, and then start up the SPSS program.  Once the file is opened and the data is displayed, you can get an overview of the contents of the file by clicking on Utilities, and then clicking on File Info.  You’ll probably be better off printing out the list of variables and the descriptions provided because it could be lengthy and won’t fit entirely on the screen.  If you want more specific information on any of the variables in the data base, open the file, then click on Utilities and then click on Variables, and then click on the name of the variable you’re interested in getting more information about in the Variables box.  SPSS will then list detailed information on the variable, including label values, for you.

The names of the databases and a brief description of each file’s contents are:

USDATA.SAV database contains monthly (starting in January 1992) US data for a variety of financial, production,
government and consumer behavior series.  Sources are various Federal agencies.

CITY.SAV database contains a variety of  economic, social and demographic variables for the largest US cities.
Source is University of Virginia's Fisher Library @ http://fisher.lib.virginia.edu/ccdb/state94.html.

STATE.SAV database contains a variety of  economic, social and demographic variables for the 50 states and the
District of Columbia.  Source is University of Virginia's Fisher Library @ http://fisher.lib.virginia.edu/ccdb/state94.html.

WORLD95.SAV database containing 1995 population, health, income, education, religion, etc. information for 109 countries.  Source is SPSS.

COUNTRY.SAV database containing 1992 population, health, income, etc. information for 122 countries.  Source is SPSS.

NETWORK.SAV database containing size, occupancy, ownership, managed care penetration, etc. data for national sample of 235 hospitals (assembled by Loubeau and Jantzen).

GSS93.SAV database containing demographic, income, labor force, family and satisfaction data for national sample of 1500 individuals.  Source is the General Social Survey, compiled by SPSS.

MBADATA.SAV database containing enrollment, student demographics, faculty characteristics, tuition, accreditation status, etc. for the population of 624 graduate business (MBA) programs in the US.  Data were compiled for 1988 and 1995 (by Jantzen).

STATBOOK.SAV database containing hospital financial and service characteristics, as well as market characteristics, for a random sample of 717 private US hospitals (assembled by Jantzen and Loubeau).
 

Typical Course Sequence:
 
Date
(approximate)
Topic:
Reading:
Homework Assignment
First class Sample Design & Data Collection Chapter 1 and Sections 7.4 & 7.5 Homework 1
Class #2 Describing Data in Tables and Charts Chapter 2 Homework 2
Classes #3 Numerical Descriptive Measures Chapter 3 Homework 3
Class #4 Basic Probability Chapter 4 Homework 4
Class #5 Binomial Distributions Chapter 5 Homework 5
Class #5 Normal Distributions Chapter 6 Homework 5
Classes # 6 - 7 Confidence Intervals, Sample Sizes & Control Charts Chapters 8 and 14 Homework 6 and Homework 11
Class #9 One Sample Tests Chapter 9 Homework 7
Classes #10-11 Two or More Sample Tests w/ Numerical Data Chapter 10  Homework 8
Class #12 Two or More Sample Tests w/ Categorical Data Chapters 10 & 11 Homework 9
Classes #13-14 Correlation and Multivariate Regression Chapter 3 (section 3.4) and Chapters 13 & 14. Homework 10

 

Web-Based Help:

The publisher of the Levine, Krehbiel and Berenson text maintains a website that offers supplements to the text for student use. You can access the website by going to the following link:

http://www.prenhall.com/levine
 

Course Software:

This course will utilize both Microsoft Excel and the SPSS program to conduct statistical analysis.  Both programs are available for student use in all Iona computer labs.  Students are free to use other software to complete assignments/exams (like BMDP, MINITAB, etc.), but this instructor will not offer technical support for such programs.   Students who wish to purchase the Student Version of SPSS software for their own computers can obtain it (for about $26 new) at http://www.amazon.com and other websites.  Click here for information on installing the SPSS: Student Version program. 
 

Contact Information:

Instructor:               Robert Jantzen, Ph.D.
                                Professor, Department of Economics
Office Location:        Economics House, 34 Hubert Place
Office Hours:            Monday, Wednesday and Thursday, 11 a.m. - Noon, and Thursday, 5:30 - 6:30 p.m., by appointment.
Phone:                      (914)637-2731.
Fax:                          (914)633-2511.
E-Mail:                   RJantzen@Iona.edu
Web-Page:             www.iona.edu/faculty/rjantzen/homepage.htm
 

 


Economics Department || Iona College