Graduate Curriculum Committee Course Proposal Form
for Courses Numbered 6000 and Higher
Note: Before completing this form, please carefully read the accompanying instructions.
Submission guidelines are posted to the GCC Web site: http://www.ecu.edu/csacad/gcc/index.cfm
1. Course prefix and number:
PADM 6102
2. Date:
October 31, 2011
3. Requested action:
New Course
X
Revision of Active Course
Revision & Unbanking of a Banked Course
Renumbering of an Existing Course from
X
from
# 6230
to
# 6102
X
Required
Elective
4. Method(s) of delivery (check all boxes that apply for both current/proposed and
expected future delivery methods within the next three years):
Current or
Proposed Delivery
Method(s):
X
On-campus (face to face)
Expected
Future Delivery
Method(s):
X
Distance Course (face to face off campus)
Online (delivery of 50% or more of the instruction is offered
online)
5. Justification (must cite accreditation and/or assessment by the graduate faculty) for
new course or course revision or course renumbering:
The MPA faculty have assessed the ability of our students to write, communicate, and
conduct both qualitative and quantitative analyses. This assessment has been conducted
as part of our student learning outcomes focus and as part of our evaluation of the new
accreditation standards of our accrediting body, the National Association of Schools of
Public Administration and Affairs (NASPAA). As a result of that assessment, particularly of
our capstone course - the MPA Professional Paper, the graduate faculty who comprise the
MPA Committee have determined the need to introduce a new course on analysis and
communication to be take prior to our quantitative research methods course. This
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assessment also lead us to shift some of the content of PADM 6230 (the current course)
to PADM 6101 resulting in a major restructuring of the content of the course under current
consideration. We think this course revision This new course will help us address the
required competency of “To analyze, synthesize, think critically, solve problems and make
decisions”. The course was then approved by the Graduate Faculty of the Department of
Political Science.
6. Course description exactly as it should appear in the next catalog:
PADM 6102. Quantitative Methods for Public Administration (3) Formerly PADM 6230 P:
PADM 6101 or consent of instructor. Case-based approach to methods of data
collection, statistical modeling, and empirical analysis applied to problems in public
management and administration.
7. If this is a course revision, briefly describe the requested change:
The revisions are three in nature. The change in number is intended to indicate to
students that this is one of the first courses to be taken in the program and to link it with
the preceding prerequisite course. The second change shifts some content to the new
course, PADM 6101. This will permit greater attention to the more complex statistical
topics via a case study approach. The description has also been changed to reflect a
change in instructional orientation.
8. Course credit:
3
Lecture Hours
Weekly OR
Per Term
Lab
Weekly OR
Per Term
Studio
Weekly OR
Per Term
Practicum
Weekly OR
Per Term
Internship
Weekly OR
Per Term
Other (e.g., independent study) Please explain.
Total Credit Hours
Credit Hours
Credit Hours
Credit Hours
Credit Hours
Credit Hours
3
s.h.
s.h.
s.h.
s.h.
s.h.
s.h.
s.h.
3
15
9. Anticipated annual student enrollment:
10. Changes in degree hours of your programs:
Degree(s)/Program(s)
MPA
Changes in Degree Hours
0
11. Affected degrees or academic programs, other than your programs:
Degree(s)/Program(s)
Changes in Degree Hours
NA
12. Overlapping or duplication with affected units or programs:
X
Not applicable
Documentation of notification to the affected academic degree programs
is attached.
13. Council for Teacher Education (CTE) approval (for courses affecting teacher
education):
X
Not applicable
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14. University Service-Learning Committee (USLC) approval:
X
Not applicable
15. Statements of support:
a. Staff
X
Current staff is adequate
Additional staff is needed (describe needs in the box below):
b. Facilities
X
Current facilities are adequate
Additional facilities are needed (describe needs in the box below):
c. Library
X
Initial library resources are adequate
Initial resources are needed (in the box below, give a brief explanation and
an estimate for the cost of acquisition of required initial resources):
d. Unit computer resources
X
Unit computer resources are adequate
Additional unit computer resources are needed (in the box below, give a
brief explanation and an estimate for the cost of acquisition):
e. ITCS resources
X
ITCS resources are not needed
The following ITCS resources are needed (put a check beside each need):
Mainframe computer system
Statistical services
Network connections
Computer lab for students
Software
Approval from the Director of ITCS attached
16. Course information (see: Graduate Curriculum and Program Development Manual for
instructions):
a. Textbook(s) and/or readings: author(s), name, publication date, publisher, and
city/state/country. Include ISBN (when applicable).
 Meier, Kenneth J., Jeffrey L. Brudney, and John Bolte. 2012. Applied Statistics for
Public and Nonprofit Administration. 8th ed. Belmont, CA: Wadsworth Publishing.
ISBN: 978-1-111-34280-7
 IBM SPSS Statistics 19 Core System User’s Guide. 2010. SPSS Inc.
 Class Handout Packages for Statistics.
 Selected readings
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b. Course objectives for the course (student – centered, behavioral focus)
Upon completion of this course, students will be able to:
 collect and analyze data to support policy analysis and decision making.
 design empirical research projects.
 interpret empirical results and display summary statistics.
 provide the foundations for further study in quantitative methods appropriate to the
tasks of public administration and policy making.
 use the statistical package for social science (SPSS) in carrying out quantitative
analysis.
c. Course topic outline
Overview and Introduction to Statistics
1. Data Management
2. Inferential Statistics
3. Bivariate Connections and Multivariate Correlation
4. Hypothesis Testing
5. Analysis of Variance and Analysis of Covariance
6. Introduction to Regression Analysis
7. Assumptions of Regression and Diagnostic Tests
8. Application of Multiple Regression Analysis
9. Empirical Results and Summary Statistics
10. Data and Results Displays
11. Time Series Analysis
12. Probit and Logit Analysis, and System Dynamics
13. Performance Measurement Techniques
d. List of course assignments, weighting of each assignment, and
grading/evaluation system for determining a grade
 Course assignments
- Weekly assignments
- Case project 1: Theory and models with the No Child Left Behind case. In this
project, students will articulate a theory and model of the no children left behind
case, including identification of key variables and relationships.
- Case project 2: Control variables using regression analysis. In this project,
students will analyze data from the Homeless and Emergency Shelters Program
by refining their estimate of the potential causal relationship between rent control
and homelessness.
- Mid-term exam
- Final Exam
- Research project and presentation
 Grading Weight
- Weekly assignments (20%)
- Two case projects (7.5% each for 15% total)
- Midterm exam (25%)
- Final exam (15%)
- Research project and presentation (25%)
A = 90-100 %
B = 80-89 %
C = 70-79 %
Below 70 % = F
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