PA 551                                                                                                     Professor Brian Stipak

Fall 2009                                                                                              e-mail: stipakb@pdx.edu

Tues. 6:40-9:20                                                                              http://web.pdx.edu/~stipakb

 

 

 

COURSE SYLLABUS:  PA 551

Analytic Methods 1

 

Read this syllabus carefully if you are taking this course.  It defines some of your responsibilities and some of my responsibilities.

 

            The purpose of the PA551/PA552 analytic methods sequence is to introduce you to statistical thinking and analytic and data gathering methods used widely in the public sector.  My versions of these courses also include computer exercises using spreadsheet programs and statistical analysis programs.  The main goal of these courses is to help you to acquire an understanding of the use of analytic information that you should have as a professional public administrator.  Although some of you may become or may already be analysts, for most of you the raison d'etre of these courses is to improve your professional capabilities as consumers of analytic information.

 

            The PA551/PA552 courses are primarily for MPA students, but any of you from other programs are welcome if these courses fit your needs.

 

            You need not worry that these courses will be highly technical, since they are at a low technical level appropriate for most MPA students[1].  PA551 has no prerequisite and presumes no prior knowledge of statistics.

 

            For those of you taking this course reluctantly and only because it is required, I challenge you to become interested and to increase your professional skills and knowledge.

 

 

                                                Course Materials

 

Required:Jane E. Miller, The Chicago Guide to Writing about Numbers, ISBN 0-226-52631-3

 

Optional:Mario F. Triola, Elementary Statistics Using Excel, ISBN 0-321-36513-5

 

My web site (http://web.pdx.edu/~stipakb):

 

•PA551 help page (Click on Resources/help, then PA551 Help)

•PA551 folder, to download files for assignments, handouts, etc.

•Data folder, to download data files and documentation for data files

•Student resources/help page, look under the "Data, Statistics, Statistical Computing" section and the "Spreadsheet Skills" section

 

Other available on-line resources (link to them via my web pages):

 

            Statsoft Electronic Statistics Textbook

The Research Methods Knowledge Base

            •Triola textbook web sites

 

There are many other textbooks that could help you learn the course material. One example is Kenneth J. Meier and Jeffrey L. Brudney, Applied Statistics for Public Administration.

 

I recommend having the Triola, Meier and Brudney, or some other beginning statistics textbook available to help you learn the statistical techniques covered in this course.

 

 

                                                        Course Requirements

 

            The first requirement is to learn the course material that is covered in class.  It is your responsibility to use a combination of learning from lectures, on-line resources, and textbooks listed in the course syllabus or other textbooks, that works for you to learn the required course material. There will be an in-class midterm examination and an in-class final examination on that course material. Topics covered on the examinations are listed on my web site.

 

            The second requirement is to complete the computer assignments and any other homework assignments.

 

 

                                                         Computer Exercises

 

            The course will include some computer exercises and required computer assignments.  We will use three types of software:  1) spreadsheet software (Excel), 2) statistical analysis software (SPSS), and 3) statistical software accessed via a web interface (SDA interface).  The reason for using spreadsheet software is that spreadsheet programs provide a versatile analytical tool for managers and analysts in public agencies.  The reason for using statistical analysis software is to provide an appreciation for the power and utility of more specialized analytic software; also, SPSS will prove useful for doing data analysis exercises, and for doing independent data analysis projects in the PA552 class.

 

            Computer software availability:  At PSU SPSS and Excel are available for use in the various on‑campus computer labs. Excel will also be on almost any computer to which you have access. I recommend that you do SPSS work using the on-campus computers. If you greatly desire to install SPSS on your own computer, you can 1) purchase the full version of SPSS, called SPSS Graduate Pack, for a discounted educational price, 2) rent SPSS very cheaply (get the Graduate Pack Base), 3) buy Student SPSS, or 4) install a temporary free demo version of SPSS (See my web site for more information on these options). Student SPSS differs from the full version in that 1) it is limited to a maximum of 50 variables and 1500 cases, 2) lacks some additional procedures, and 3) does not support SPSS syntax (command language).

 

            There are many reference books that you can buy if you want for Excel and for SPSS, but you will not need them since I will demonstrate each exercise in-class, and since both programs have built-in help.

 

            You may also find working with other students helpful in doing the computer assignments.  However, the computer assignments that you hand in require that you do your own computer work for the assignments:  each person must sit at a computer and do every assignment.  Similarly, a tutor may help you but must not do the assigned work for you.  For the spreadsheet assignments you are required to sit at a computer and to perform all of the keystrokes required to create the spreadsheet; others in your group may be watching and coaching you, but each group member must key in the spreadsheet from scratch.  If you do not do this, then you will not develop as much your personal capability to use a spreadsheet program, which is a course objective.  Any student who turns in computer work as his/her own, when in reality the computer work was done by someone else, is committing academic dishonesty subject to disciplinary action under university rules.

 

 

                                                 Course Listserv

            I have subscribed all students enrolled in the course who have an email address in the PSU Information System to the course listserv. If you do not have an email address in the PSU information system then I did not subscribe you and you will need to subscribe yourself. To see if your email address was included, you can look at the files in the folder for this course on my website and find the file with the name EmailAddressList...".

 

            You must subscribe to the course listserv within two days after the first class meeting, if you are not already subscribed.  I will use this listserv to send messages to the class members.  You can also send messages to the class members‑-for example, to solicit help and to help other students requesting help.

 

            To subscribe to the listserv go to the information page for this listserv, which you can link to via my web site, or you can just go directly to:

                        "https://www.lists.pdx.edu/lists/listinfo/pa552"

 

 

                                                               Course Grades

 

            I will assign course grades as fairly as I can based on a computerized total points score and calculated grade.  I usually allow myself a maximum leeway of one increment (for example, B to B+) from the calculated grade to take into account class preparation, participation, and other special considerations.[2]  The total points score is computed from scores on the following criteria using these approximate percentage weights:

30%    Computer and other assignments, including meeting due dates

            30%    Midterm examination

            40%    Final examination

 

            I do not give all graduate students "A's".  A "B" is also a passing grade at the graduate level.  A "C" or lower means I feel the work was below acceptable graduate student standards.  In practice, for this type of course I typically assign about half of the grades in the A/A- range, half in the B+/B/B- range, and occasionally assign a grade of C or lower.

 

            The university policy on assigning incomplete ("I") grades restricts their use to special circumstances (see PSU Bulletin).  Missing assignments will usually result in a lower grade or an "X" grade, not an "I".  If major assignments are missing a very low grade may result.  If you enroll in this course but find you are not able to do all of the assignments, I recommend that you drop the course.  If you remain in the course and do not complete all of the work, you need to write or email me to request an "I" grade.

 

            I consider academic dishonesty a serious offense and will penalize offenders to the full extent possible under university policies.  Academic dishonesty includes cheating on examinations, copying or stealing other people's work, turning in work done by someone else as one's own, plagiarism, and other kinds of misrepresentation.  Turning in computer assignments done by another person would be an example.  If you know of any of these problems occurring in this class, please let me know so that I can investigate.  The vast majority of you would never do this, and my commitment to you is if I should learn about such cheating I will deal with it severely, regardless of who the student is and what excuses the student offers.

 

 

                               Return of Assignments, Examinations

            Any assignments I have not returned to you by the last class meeting you can pick up from me after finals week.  You will not get back copies of examinations, but a key exam will be available for you to see immediately after completing exams, and your scored exams will be available for you to examine in my office.

 

 

                                            My Availability Outside of Class

            I am available to consult with you about course matters by email, phone, and in person outside of class hours.  To see me in person, schedule a time with me.  The best way to schedule a time with me is to email me. I can usually meet students on Tuesdays/Thursdays late mornings, afternoons, and evenings after my classes. You can also suggest other times.

 

            Feel free to stop by my office if you are in the CUPA Building; if I am in, I will see you then if I can.  This combined by-appointment/flexible-office-hours approach provides a more practical way to arrange consultation than limited specific office hours, given the varied work schedules of students in our program.


                               Course Outline[3]

 

1. Introduction

            Introduce Course, Course Overview

            Government Uses of Statistics, Importance of Statistics

            Types of Statistical Methods

 

                        Miller, pp. 1-6, 11-26

                        Triola, Ch. 1

                       

2. Measurement

            Cases, UOA, Values, Variables

            Levels of Measurement

            Measurement Errors

            Reliability, Validity

            Types of Data

            Survey Research

 

                        Miller, pp. 53-64, 186-190, 203-213

Research Methods KB, "Measurement", "Levels of Measurement"

                        Statsoft EST, "Elementary Concepts", "Measurement Scales"

                        Triola, Ch. 1

 

3. Computer Use in Public Agencies

            Historical Perspective

            Current Use

            Role of Course Exercises

            Basic Spreadsheet Concepts

 

                        Triola, 1-5 "Introduction to Excel"

 

4. Descriptive Statistics

            Frequency Distributions

            Measures of Central Tendency:  Mean, Median, Mode

            Measures of Spread:  Variance, Standard Deviation

 

                        Miller, pp. 60-79, 186-187, Ch. 5

                        Triola, Ch. 2-3

Brian Stipak, "Government Expenditure Levels:  Alternative Procedures for Computing Measures"

            Brian Stipak, "Alternatives to Population-Based Crime Rates"

 

5. Tables and Charts

            Stem and Leaf Diagram, Box Plots

            Graphs and Chartjunk

            Effective Table / Chart Presentation

 

                        Miller, Ch. 6-7

                        Innovative use of graphics in a performance audit, web

                        Triola, Ch. 2-3

See Edward R. Tufte, The Visual Display of Quantitative Information, for examples of statistical graphics.

Edward R. Tufte, The Cognitive Style of Powerpoint

 

6. Probability

            Probability Concepts

            Normal Probability Distribution

                        Miller, pp. 99-100

                        Triola, Ch. 4-6

 

7. Quality Control Charts

            Run charts

            Control charts: mean, standard deviation, proportion

 

                        Triola, Ch. 14

 

8. Sampling Methods

Simple Random Sampling, Systematic Sampling, Convenience Sampling

            Probability Sampling, Quota Sampling

            Stratification, Clustering

            Sampling Error

            Simple Methods for SRS, Stratified, and Systematic Sampling

 

                        Triola, pp. 26-31

                       

9. Sampling Distributions

            Sampling Distribution of the Mean

            Central Limit Theorem

            Sampling Distribution of a Proportion

                        Triola, Ch. 6

 

10. Estimation

            Point Estimates versus Interval Estimates

            Desirable Properties of Estimators

                        Triola, Ch. 7

 

11. Confidence Intervals

            Confidence Interval for a Mean, Normal Distribution

            Confidence Interval for a Proportion

t Distribution

            Confidence Interval for a Mean, t Distribution

 

                        Triola, Ch. 7

 

12. Required Sample Size

            RSS to estimate a proportion/percentage

            RSS to estimate a mean

 

                        Triola, Ch. 7

 

13. Hypothesis Testing, Basic Classical Approach

            Logic of Classic Hypothesis Testing

            Statistical Significance

            Test of Mean, Normal Distribution

            Test of Proportion, Normal Distribution

            Test of Mean, t Distribution

 

                        Triola, Ch. 8            

 

14. Hypothesis Testing, Extensions and Further Considerations

            P-values as an alternative to classic hypothesis testing

            Two-Sample Tests:

                        Difference in Means, Normal Distribution

                        Difference in Means, t Distribution

                        Difference in Proportions, Normal Distribution

            Type I & II errors, Statistical Power

            Relationship of Confidence Intervals and Hypothesis Testing

            Reconsideration of Classic Testing, Statistical Significance

            How Important is "Statistical Significance?"

            Role of Estimation vs. Hypothesis Testing

 

                        Miller, pp. 40-52

                        Triola, Ch. 8-9


PA 551                                                                                                                             Fall 2009

 

          Approximate Class Schedule*

 

(Note: Announcements about assignments, exams, and other course matters will be given in class and/or made through the course listserv.)

 

Date

 

Assignment Due (write in changes from class/listserv)

Topics (approximate)

1

9/29

 

Introduction

Measurement

2

10/6

Computer Assn 1 due

Measurement

Computer Use

3

10/13

Computer Assn 2 due

 

Descriptive Statistics

Probability

4

10/20

 

Computer Assn 3 due

Probability

Quality Control Charts

5

10/27

 

 

Sampling Methods

Sampling Distributions

Estimation

6

11/3

 

Computer Assn 4 due

Midterm Exam

Estimation

Confidence Intervals

7

11/10

 

 

Confidence Intervals

Required Sample Size

Hypothesis Testing

8

11/17

 

 

Hypothesis Testing

 

9

11/24

 

Computer Assn 5 due

 

Hypothesis Testing

 

10

12/1

 

 

Hypothesis Testing

Further Considerations

11

12/8

 

Course Evaluations, Final Examination

 

 

*This class schedule is approximate, and adjustments will occur during the term.  Some topics above appear for more than one date because a topic may take more than one class period, or to allow leeway when the topic is covered.



    [1]If you have a technical background but have not covered the PA551/PA552 material, you may want to see me to discuss possible replacement courses that may suit you better.

    [2]However, if some course requirements are not fulfilled, or if other special circumstances exist, the assigned grade may be more than one increment different than the calculated grade.

    [3]Author names/abbreviations refer to the references listed above under "Course Materials".