INCM 9102 Quantitative Methods

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KENNESAW STATE UNIVERSITY
GRADUATE COURSE PROPOSAL OR REVISION,
Cover Sheet (10/02/2002)
Course Number/Program Name INCM 9102/International Conflict Management
Department College of Humanities and Social Sciences
Degree Title (if applicable) Ph.D. in International Conflict Management
Proposed Effective Date Fall 2010
Check one or more of the following and complete the appropriate sections:
X New Course Proposal
Course Title Change
Course Number Change
Course Credit Change
Course Prerequisite Change
Course Description Change
Sections to be Completed
II, III, IV, V, VII
I, II, III
I, II, III
I, II, III
I, II, III
I, II, III
Notes:
If proposed changes to an existing course are substantial (credit hours, title, and description), a new course with a
new number should be proposed.
A new Course Proposal (Sections II, III, IV, V, VII) is required for each new course proposed as part of a new
program. Current catalog information (Section I) is required for each existing course incorporated into the
program.
Minor changes to a course can use the simplified E-Z Course Change Form.
Submitted by:
Approved
Volker Franke Ph.D.
Faculty Member
_____
Date
Not Approved
Department Curriculum Committee Date
Approved
Approved
Approved
Approved
Approved
Approved
Not Approved
Department Chair
Date
School Curriculum Committee
Date
School Dean
Date
GPCC Chair
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Dean, Graduate College
Date
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Vice President for Academic Affairs Date
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President
Date
KENNESAW STATE UNIVERSITY
GRADUATE COURSE/CONCENTRATION/PROGRAM CHANGE
I.
Current Information (Fill in for changes)
Page Number in Current Catalog
Course Prefix and Number
Course Title
Credit Hours
Prerequisites
Description (or Current Degree Requirements)
II.
Proposed Information (Fill in for changes and new courses)
Course Prefix and Number INCM 9102_____________________________
Course Title Quantitative Methods
Credit Hours 3-0-3
Prerequisites Admission to the Ph.D. Program
Description (or Proposed Degree Requirements)
This course will focus on quantitative techniques including descriptive and
inferential statistical analyses such as regression, correlation, hypothesis
testing, analysis of variance, and sampling techniques. Students will apply
these techniques using statistical software packages.
III.
Justification
This course provides the student with the knowledge to excel in research
methods which is the core component of the Ph.D. in International
Conflict Management. From the reading and understanding of a diverse
set of literature the student of this course will also be able to apply
appropriate methodological approaches to conflict-related global issues.
This course will provide the student the ability to address problems from a
sophisticated base of substantive and methodological approaches.
IV.
Additional Information (for New Courses only)
Instructor:_ Volker Franke, Ph.D.
Text:
Prerequisites: Admission to the Ph.D. program
Objectives:
 Know how to describe data statistically and graphically
 Understand basic sampling theory
 Be able to estimate simple tests comparing two groups
 Be able to estimate a simple regression
 Apply basic statistical techniques to the study of international conflict and conduct
quantitative analyses of conflict data
 Be informed consumers of more advanced statistical techniques applicable to conflict
analysis
Instructional Method
- Class discussion, projects
Method of Evaluation
-Participation, problem sets, and final paper
V.
Resources and Funding Required (New Courses only)
Resource
Amount
Faculty
Other Personnel
Equipment
Supplies
Travel
New Books
New Journals
Other (Specify)
TOTAL
Funding Required Beyond
Normal Departmental Growth
The costs are included in the overall cost for the new Ph.D. program and are not separate.
VI. COURSE MASTER FORM
This form will be completed by the requesting department and will be sent to the Office of the
Registrar once the course has been approved by the Office of the President.
The form is required for all new courses.
DISCIPLINE
COURSE NUMBER
COURSE TITLE FOR LABEL
(Note: Limit 16 spaces)
CLASS-LAB-CREDIT HOURS
Approval, Effective Term
Grades Allowed (Regular or S/U)
If course used to satisfy CPC, what areas?
Learning Support Programs courses which are
required as prerequisites
INCM
9102
Quantitative Methods
3-0-3
Fall 2010
Regular
APPROVED:
________________________________________________
Vice President for Academic Affairs or Designee __
VII Attach Syllabus
INCM 9102: Quantitative Methods
Ph.D. Program in International Conflict Management
Kennesaw State University
I. Professor Contact Information
Volker Franke, Associate Professor of Conflict Management
Department of Political Science and International Affairs, MD 2205, Bldg. 22, Rm. 3002
Phone: 678-797-2931, Email: vfranke@kennesaw.edu
II. Course Pre-requisites, Co-requisites, and/or Other Restrictions
Admission to the Ph.D. program
III. Course Description
This course will focus on quantitative techniques including descriptive and inferential statistical analyses such as
regression, correlation, hypothesis testing, analysis of variance, and sampling techniques. Students will apply these
techniques using statistical software packages.
IV. Student Learning Objectives/Outcomes
Upon completion of this course, students should:
 Know how to describe data statistically and graphically
 Understand basic sampling theory
 Be able to estimate simple tests comparing two groups
 Be able to estimate a simple regression
 Apply basic statistical techniques to the study of international conflict and conduct quantitative analyses of
conflict data
 Be informed consumers of more advanced statistical techniques applicable to conflict analysis
V. Textbooks and Materials
Textbook:
Agresti, Alan and Barbara Finlay. Statistical Methods for the Social Sciences. 4th ed., New York: Prentice Hall,
2009.
Secondary Readings:
Abelson, Robert P. Statistics as Principled Argument. Lawrence Erlbaum Publishers, 1995.
Field, Andy. Discovering Statistics Using SPSS. Sage Publications, 2009.
Klass, Gary M. Just Plain Data Analysis: Finding, Presenting, and Interpreting Social Science Data. Rowman &
Littlefield, 2008.
Schlotzhauer, Sandra. Elementary Statistics Using SAS. Cary, NC: SAS Institute, 2009.
VI. Course Outlines1
1
The course syllabus assumes the use of SAS software for illustration of how to use a statistical software package
for data analysis.
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Week 9
Week 10
Week 11
Week 12
Week 13
Week 14
Week 15
Course Overview & Introduction: Why Use Statistics?
Read: Abelson; A&F, Ch. 1.
Measurement, Descriptive Statistics and Graphics
Read: A&F, Ch. 2 (pp. 11-14), Ch. 3; Schlotzhauer, Ch. 5.
Probability and Distributions
Read: A&F, rest of Ch. 2 + Ch. 4.
Statistical Inference: Point Estimation
Read: A&F, Ch. 5; Schlotzhauer, Ch. 6.
Statistical Inference: Significance Tests
Read: A&F, Ch. 6.
Data Analysis I: Using the Computer
Read: Schlotzhauer, Chs. 1-4.
Two-Group Comparisons and Measures of Association
Read: A&F, Chs. 7-8.
Bivariate Regression
Read: A&F, Ch. 9.
Multiple Regression and Correlation Procedures
Read: A&F, Chs. 10-11.
Model Building with Regression
Read: A&F, Ch. 12.
Comparing Several Groups: ANOVA
Read: A&F, Ch. 13.
Data Analysis II: SAS in Action
Read: Schlotzhauer, Chs. 7-9.
Models for Categorical Variables: Logistic Regression
Read: A&F, Ch. 15.
Time Series and Hierarchical Models
Read: A&F, Ch. 16 (Sections 1 and 2).
Factor Analysis
Read: A&F, Section 16.5.
VII. Grading Policy
Grades will be calculated as follows:
Participation:
Problem Sets:
Final Paper:
10%
60%
30%
Students will be assigned a series of problem sets throughout the semester that require them to apply the techniques
discussed in class to conflict relevant data sets and test hypotheses with implications for the study of international
conflict (60%). In addition, students will select a journal article of interest to them and write a final paper (15-20
pages) that evaluates the merits of a statistical study in the field of conflict analysis and management (30%). The
paper should critically assess the study’s theoretical foundations, its research design (including appropriateness of
the operationalizations and the sample), the methodology employed and the findings and their implications to the
field.
VIII. Academic Integrity
Every KSU student is responsible for upholding the provisions of the Student Code of Conduct, as published in the
Undergraduate and Graduate Catalogs. Section II of the Student Code of Conduct addresses the University's policy
on academic honesty, including provisions regarding plagiarism and cheating, unauthorized access to University
materials, misrepresentation/falsification of University records or academic work, malicious removal, retention, or
destruction of library materials, malicious/intentional misuse of computer facilities and/or services, and misuse of
student identification cards. Incidents of alleged academic misconduct will be handled through the established
procedures of the University Judiciary Program, which includes either an "informal" resolution by a faculty member,
resulting in a grade adjustment, or a formal hearing procedure, which may subject a student to the Code of Conduct's
minimum one semester suspension requirement.
IX. ADA Statement
Any student who, because of a disabling condition, may require some special arrangements in order to meet the
course requirements should contact the instructor as soon as possible to arrange the necessary accommodations.
Students should present appropriate verification from KSU disAbled Student Support Services. No requirement
exists that accommodations be made prior to completion of this approved University process. Accommodations are
arranged on an individualized, as-needed basis after the needs and circumstances have been evaluated. The
following individuals have been designated by the President of the University to provide assistance and ensure
compliance with the ADA. Should you require assistance or have further questions about the ADA, please contact:
Carol Pope, Asst. Dir. for disAbled Student Support Services
770-423-6443, 770-423-6667F, 770-423-6480TTY
cpope@kennesaw.edu
disAbled Student Support Services Website
http://www.kennesaw.edu/stu_dev/dsss/dsss.html
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