PPA207: Quantitative Research Methods
Spring, 2003
Public Policy and Administration
California State University, Sacramento
Professor Miguel Ceja
3029 Tahoe Hall
(916) 278-5591
Office Hours
Tuesdays and Thursdays 4-5:30pm
COURSE OBJECTIVES
This graduate seminar is intended to prepare students to
understand the nature, assumptions, and logic of quantitative methodology. The course will focus on issues of design,
conceptualization, analysis, and interpretation of quantitative research
procedures. The aim of this course is
to help students acquire skills and gain experience in using a variety of
research techniques for the purposes of understanding and making sense of
governmental policies.
Learning objectives:
Upon completion of this course, students are expected to:
- Understand
the nature of quantitative procedures and how they compare to more
traditional qualitative procedures;
- Demonstrate
skills necessary to engage in quantitative inquiry;
- Identify
various ways of collecting quantitative data (survey, cross-sectional,
longitudinal, etc.);
- Have a
working knowledge of descriptive and regression analysis and the strengths
of these techniques;
- Understand
how to summarize, compile, interpret, and report quantitative data; and
- Put
together a research paper that utilizes quantitative methods to better
understand a policy problem.
COURSE FORMAT
The graduate seminar is a space of
open discussion, inquiry, and discovery.
The success of the seminar rests on the free and uninhibited
intellectual and emotional engagement of all participants. Effective participation and learning
requires that students read class material, reflect on the readings, and come
to the seminar prepared to share their ideas with classmates. In addition to class discussions, there will
be analytical exercises, discussion of computer assignments and individual
student presentations.
ASSIGNMENTS AND GRADING
There are four components to students’ grades:
- Class
attendance and participation – 25%
- Midterm
Assessment – 25%
- Final
presentation and course assignments – 25%
- Final
paper – 25%
Classroom Participation
Classroom
participation includes attendance, weekly class discussion, prepared questions
or comments, in-class activities and student presentations. Missing more than two class sessions will lower your overall grade for the
class.
If you do miss class:
*Please tell me in advance, if possible.
*To demonstrate that you have engaged the material for a
particular class, write a short analytical essay that reacts to one of the
readings in depth.
*The reaction is due the day of the class you are scheduled
to miss. This can be submitted
electronically or placed in my box. If
you miss a class unexpectedly, a different due date can be negotiated.
Remember, class participation is 25% of the grade!
Midterm Assessment
You will be
given a midterm assessment after parts one and two of the course. This will take place during the class
session of March 19.
Final Presentation and Course Assignments
Final
papers will be presented to the class (conference style) using power point
slides and orally peer-reviewed by the class during the last two weeks of the
semester. Course assignments will
consist of article critiques, and exercise problems from both the Pollock and
Kahane books. These will be due during
the class session that they are assigned for.
Final paper
Final
papers (15-20 pages, dbl-spaced) are due finals week. Paper topics open but should be approved by week 3. A two-page prospectus for final papers is
due on week 3, but can be turned in earlier for approval. I also encourage you to discuss your paper
topic with me prior to week 3. Drafts
of sections of the paper will be due throughout the semester. In your paper, you will be required to
include at least 10 references
relevant to your research topic.
Required Texts
- John W. Creswell.
(2002). Research Design: Qualitative, Quantitative, and
Mixed Methods Approaches, Second Edition. Sage Publications. Thousand Oaks.
- Leo H. Kahane (2001). Regression Basics. Sage Publications: Thousand Oaks.
- Phillip H. Pollock (2002).
An SPSS Companion to Political Analysis. CQ Press: Washington.
- SPSS Base 11.0 (Graduate Pack): Applications Guide and CD-ROM, 2002
-must be purchased at CSUS Bookstore in computer department.
Outline of Topics and Assignments
PART 1: CONCEPTUALIZING AND DESIGNING
QUANTITATIVE RESEARCH
- January 29
Introduction and course overview;
Identify possible research topics
NO READINGS
- February 5
REQUIRED READINGS:
Creswell chp1- A framework for design
Creswell chp2- Review of the literature
Creswell chp3- Writing strategies and ethical considerations
ASSIGNMENTS:
-In-class exercise- develop a research design
-In-class exercise- critiquing quantitative research
-distribute quantitative article to critique (due February 19)
- February 12
REQUIRED READINGS:
Creswell, chp4- The introduction
Creswell, chp5- The purpose statement
Creswell, chp6- Research questions and hypothesis
Creswell, chp7- The use of theory
ASSIGNMENTS:
-2 page typed POLICY RESEARCH
PROPOSAL DUE
-students will spend five minutes describing and explaining their
proposal to the class for feedback.
-In-class exercise; developing research questions
- February 19
REQUIRED READINGS:
Creswell, chp8- Definitions, limitations, and significance
Creswell, chp9- Quantitative methods
ASIGNMENTS:
-Article Critique Due (3-5 page
double-spaced)
-present article critiques in class
-In-class exercise; identifying research variables using the I-E-O model.
PART 2: DESCRIPTIVE ANALYSIS
- February 26
REQUIRED READINGS:
Pollock, Introduction
Pollock, chp1- Introduction to SPSS
Pollock, chp2- Description statistics
ASSIGNMENTS:
-2 page typed DRAFT OF METHODS
SECTION DUE
-students will spend five
minutes describing and explaining their methods section to the class for
feedback.
-learning SPSS, computer exercise; if possible, please bring laptop that
has SPSS on it.
- March 5
REQUIRED READINGS:
Pollock, chp3- Making Comparisons
Pollock, chp4- Transforming variables in NES2000.sav
Pollock, chp5- Making controlled comparisons
ASSIGNMENTS:
-Pollock chp2 exercises due.
–In-class assignment; Pollock exercise chp3.
- March 12
REQUIRED READINGS:
Pollock, chp6- Making Inferences about sample means
Pollock chp7- Chi-square and measures of association
ASSIGNMENTS:
-Pollock chp4 exercises due.
–In-class assignment; Pollock exercise chp5.
- March 19
NO READINGS
ASSIGNMENTS:
-Pollock chp6 exercises due.
MIDTERM ASSESSMENT
PART 3: REGRESSION ANALYSIS
- March 26
REQUIRED READINGS:
Kahane, chp1- An introduction to the linear regression model
Kahane, chp2- The least-square estimation method: fitting lines to data
Kahane, chp3- Model Performance and Evaluation
- April 2
REQUIRED READINGS:
Pollock, chp8- Correlation and regression
Kahane, chp4- Multiple regression analysis
ASSIGNMENTS:
–In-class assignment; Pollock exercise chp8.
- April 9
REQUIRED READINGS:
Pollock, chp9- Dummy Variables and interaction effects
Kahane, chp5- Nonlinear, dummy, interaction, and time variables
ASSIGNMENTS:
–In-class assignment; Pollock exercise chp9.
- April 23 (No class scheduled for this
day)
- April 30
REQUIRED READINGS:
Astin and Dey- Casual Analytic
Modeling via Blocked Regression Analysis (CAMBRA): An Introduction with
Examples
Kahane, chp6- Some common problems in regression analysis
- May 7
Final student presentations
- May 14
Final student presentations
Final Papers Due Monday May 19