Last updated: Nov 14, 2009

Introduction to Political Science

Methods of Political Research (POLS 210)

Ball State University

Fall 2009

Dr. Misa Nishikawa

Location: NQ209

Office: NQ228

E-mail: mnishikawa@bsu.edu

Web: www.bsu.edu/web/mnishikawa

Office hours: Tue 9:00am-9:30am, Wed: 6:00pm-6:30pm, Thu 9:00am-9:30am, Fri: 10:30am-11:30am, and by appointment

GA’s office hours: Wed 5:00-6:00 except the first Wednesday of each month (Location: NQ G20)

 

Course Description

This course introduces students to statistics and the scientific study of politics. The objective of this course is to provide students the analytical tools to evaluate political behavior and concepts from a systematic and quantitative perspective. In particular, the course covers: 1. the basic strategy and procedures of scientific political research. 2. the use of computers in political research, and 3. the use of statistical techniques in political research.

 

This course provides the primary computer competency base for Political Science majors. Throughout the course, you will be involved in projects which require computer usage in one form or another. The greatest focus, however, will be on the use of computers to perform data analysis for the systematic testing of hypotheses.

 

Required readings and other materials: 

1.      Philip Pollock. 2009. The Essentials of Political Analysis. Third edition. Washington, D.C.: CQ Press

2.      Philip Pollock. 2009. An SPSS Companion to Political Analysis. Third edition. Washington, D.C.: CQ Press

3.      SPSS student version

4.   USB flash memory

 

* The Essentials, An SPSS Companion, and SPSS student version (software) are bundled together.

     

 

Course Requirements

1. Exams

There will be four exams. (You can drop one of the four exams.) The exams will be comprehensive and will be based on material covered during class in lectures or class discussions and from the required readings. Each exam is worth 13% of your grade. The combined exam portion of your grade will be worth 39% of your grade.

-up exams will not be given except in the case of extreme circumstances. The student must be able to provide documentation that the absence is unavoidable (e.g., illness, death in the family, observance of a religious holiday) and make arrangements with me prior to the scheduled exam dates.      

 

2. Assignments

Late work will be downgraded by 10 points each day it is late. The worksheets/assignments will not be accepted beyond three days from the due date. Please do not send your assignments using e-mail.

 

3. Paper assignment

You will be required to write a research paper for this class. No extensions will be granted. Ten points will be subtracted from your grade for each day that the paper is late. The paper will not be accepted beyond three days from the due date. Please do not send your assignments using e-mail. This research paper is designed to give students the chance to work with an existing data set, and to develop and test hypotheses on some political issue. You are not required to collect your own data. You will be expected to identify the question you wish to test using MicroCase, and write a report describing the nature of the hypothesis, mode of analysis, and substantive results. The paper will be completed in five phases.

1.      Research question

2.      Theory and testable hypotheses

3.      Variable list / operationalization

4.      Statistical analysis

5.      Conclusion and final product

 

5. Attendance

Attendance in this class is very important, and I will count it as a part of your grade. If you miss a class, get good notes from someone in the class. If you do not know anyone in the class, get to know some people in the class. 

 

Grades

The points are allocated in the following way: 

Exam 1, 2, and 3

39%

Assignments

20%

Attendance

6%

Paper

35%

{Phase 1, 2, 3, 4a, (4b, 5)}

{5,5,5,5 15}

Total

100%

 

Grading Scale: For all items in this class for which grades are assigned, the following grading scale will be used: 

A

93.0%

A-

90.0%

B+

86.0%

B

83.0%

B-

80.0%

C+

76.0%

C

73.0%

C-

70.0%

D+

66.0%

D

63.0%

D-

60.0%

F

-59.9%

 

General Expectations

Participation in class discussions is strongly encouraged. Of course, participation should be constructive, and all comments should be relevant to the material being covered in class. Students must do all of the reading! Respect should be shown for all other class members at all times.

 

Students are expected to attend class, arrive promptly and have a collegial demeanor. Students are not allowed to sleep, read newspapers, use cell phones, listen to music, or talk to others during class. For the lab hours, students are expected to use only appropriate software, which typically does not include the internet or e-mail programs. Engaging in these behaviors will result in a drop in the student’s grade.   

 

Students will be responsible for knowing any changes made to the syllabus during class time whether they were in attendance or not. The instructor’s lecture notes are not available to students; it is the student’s responsibility to obtain class notes from a classmate, should class be missed. Students are also required to have a BSU e-mail account and access to Gradebook. 

 

If you need course adaptations or accommodations because of a disability, if you have emergency medical information to share with me, or if you need special arrangements in case the building must be evacuated, please make an appointment with me as soon as possible.

 

Academic Honesty:

Honesty, trust, and personal responsibility are fundamental attributes of the university community. Academic dishonesty by a student will not be tolerated, for it threatens the foundation of an institution dedicated to the pursuit of knowledge. To maintain its credibility and reputation, and to equitably assign evaluations of scholastic and creative performance, Ball State University is committed to maintaining a climate that upholds and values the highest standards of academic integrity.

 

Schedule

 

Week

Date

Topic

Reading

Week 1

8/25 (Tue)

 

Class introduction

SPSS: Getting started

Paper: Phase 1. Topic and introduction

PA: Introduction

SPSS: Getting started 

 

 

8/27 (Thu)

Lab

SPSS: Introduction and Data Entry

SPSS: Ch1

 

Week 2

9/1 (Tue)

 

Measurement (Concepts, Reliability and Validity, Measurement error)

Levels of measurement

PA: Ch1, Ch2 (pp26-30)

 

9/3 (Thu)

Lab

Assign 1. Prep Phase 1: Paper topic and bibliography

 

Week 3

9/8 (Tue)

 

From Explanation to Hypothesis

Paper: Phase 2. Theory and Hypothesis

Phase 1 Due

PA: Ch3 (pp44-54)

 

 

9/10 (Thu)

Lab

Assign 2. InQsit exercise

Assign 3. Prep Phase 2: Diagram and hypotheses (in class)

 

Week 4

9/15 (Tue)

 

Review Exam 1

 

 

9/17 (Thu)

Exam 1 No lab hours

 

Week 5

9/22 (Tue)

 

Logic of control, Sampling

Paper: Phase 3. Operationalization

Phase 2 Due

PA: Ch4 (72-81), Ch6 (Pp113-119)

 

 

9/24 (Thu)

 

Lab

Assign 4. Prep Phase 3: Tables for variables (in class)

 

Week 6

9/29 (Tue)

Describing variables (Frequency, central tendency, dispersion)

Paper: Phase 4a. Descriptive stats

PA: Ch2 (Pp30-41), Ch6 (Pp119-124)

 

10/1 (Thu)

Lab

SPSS: Descriptive stats

Phase 3 Due

SPSS: Ch2

Week 7

10/6 (Tue)

 

Z scores

Assign 5. Frequency

PA: Ch 6 (Pp127-130)

 

10/8 (Thu)

Lab

Recoding

Assign 6. Standard deviation

SPSS: Ch3 (Pp37-49)

Week 8

10/13 (Tue)

 

Lab

Assign 7. Z scores

Assign 8. Recoding

 

 

10/15 (Thu)

Lab

Assign 9. Prep Phase 4a: Descriptive stats (In class)

 

Week 9

10/20 (Tue)

 

Review Exam 2

 

 

 

10/22 (Thu)

Exam 2 No lab hours

 

Week 10

10/27 (Tue)

 

Bivariate and multivariate crosstabs

PA: Ch3 (Pp54-57), Ch5 (Pp94-96)

 

 

10/29 (Thu)

Lab

Spss: Crosstab

Assign 10. Crosstab (in class)

Phase 4a Due

SPSS: Ch4

Week 11

11/3 (Tue)

 

Test of Statistical Significance (Chi square)

PA: Ch7 (Pp154-159)

 

11/5 (Thu)

Lab

SPSS: Chi-square

Assign 11. Chi-square test

SPSS: Ch7 (Chi-square)

Week 12

11/10 (Tue)

 

Measures of Association

 

PA: Ch7 (Pp159-163)

 

11/12 (Thu)

Lab

SPSS: Measures of association

Assign 12. Measures of association

SPSS: Ch7 (Measures of Association)

Week 13

11/17 (Tue)

 

Correlation and Regression

 

PA: Ch8 (Correlation and Regression)

 

 

11/19 (Thu)

Lab

SPSS: Correlation and Regression

Assign 13. Correlation

Assign 14.  Regression

SPSS: Ch 8 (Correlation and Regression)

 

Week 14

11/24 (Tue)

 

Fruesday

No class

 

 

11/26 (Thu)

 

Thanksgiving

 

Week 15

12/1 (Tue)

 

Lab

Assign 15. Prep Phase 4b

 

 

12/3 (Thu)

Lab

Review Exam 3

Completing final paper

 

Week 16

12/8 (Tue)

 

Exam 3 (No lecture)

 

 

 

12/10 (Thu)

 

Exam 4

Final Paper Due

 

Week 17

12/14 -12/18 Final Exam Period

Exam 4 (Make up exam)