Last updated: November 15, 2009

 

Political Theory and Research Design (POLS625)

Ball State University

Fall 2009

 

Professor Misa Nishikawa

Location: NQ210

Time: Wed 6:30-9:10pm

Office: NQ228

e-mail: mnishikawa@bsu.edu

Office hours: Tues 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

The course is designed to introduce students to the scientific study of politics with special emphasis given to the way in which professional political and social scientists undertake their work. In particular, the course examines how to conduct social science research. The greatest focus will be on the use of computers to perform data analysis for the systematic testing of hypotheses.

 

Course Requirements

 

Required Texts and Reading:

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

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

     

4.  Gary King, Robert O. Keohane, and Sidney Verba. 1994. Designing Social Inquiry. Princeton, New Jersey: Princeton University Press

5.  USB flash memory

6.  Supplementary reading in the form of additional handouts and Internet resources

 

Exams

Make-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 date. Exams will be based on material covered in lectures or class discussions and from the required readings. 

 

Paper /Assignments

Students will be expected to write a paper on research design. Students will also need to find their own research question and describe how they will carry out their research. The use of some basic statistics will also be required. Students will also be given additional assignments. Please do not send your assignments by using e-mail. Late work will be downgraded by 5 points each day it is late. The paper/assignments will not be accepted beyond 5 business days from the due date.

 

The grade is allocated in the following way: 

Exam 1, 2, and 3

(20%,30%,10%) 60%

Assignments

5%

Participation/Discussion

5%

Paper {Topic, Intro, Theory, Operationalization, Descriptive Stats, (Preliminary results, Concl, Final paper)}

 {2%,4%,4%,4%,4%,(12%)} 30%

Total

100%

 

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

A

93.0-100%

A-

90.0-92.9%

B+

85.0-89.9%

B

76.0-84.9%

B-

70.0-75.9%

C+

65.0-69.9%

C

60.0-64.9%

C-

58.0-59.9%

D+

55.0-57.9%

D

52.0-54.9%

D-

49.0-51.9%

F

-48.9

 

 

Class Discussion/Participation

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 readings prior to the class! Respect should be shown for all other class members at all times.

 

General Expectations

Students are expected to attend class regularly, arrive promptly and have a collegial demeanor. For the lab hours, students are expected to use only appropriate software, which typically does not include the internet or e-mail programs.   

 

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.  

 

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

Aug 26

The Science in Social Science

Statistics: Frequency I

SPSS: Introduction

Research Paper: Overview; Research Question and Lit. Review

KKV: Ch1 pp3-12*

PA: Introduction

SPSS: Getting Started, Ch1 (Introduction)

Week 2

Sep 2

Research Design

Stats: Frequency II

Ethics   

Assignment 1 Due (In class/Group assignment)

Paper: Topic and Bibliography Due

KKV: Ch1 pp12- 32

 

Babbie: Ch 3 (The Ethics and Politics of Social Research)*

 

Week 3

Sep 9

Concepts

SPSS: Recoding

Assignment 2 Due (Frequency)

Assignment 3 Due (Frequency)

Assignment 4 Due In class (Recoding)

PA: Ch1

SPSS: Ch3 (pp37-49)

Week 4

Sep 16

Explanations and Hypotheses

Statistics: Measuring and Describing Variables

Paper: Introduction Due

Assignment 5 In class (Prisoner’s Dilemma)

Assignment 6 In class (Levels of measurement)

PA: Ch2 (pp26-29), Ch3 (pp44-54), Ch6 (pp119-124)

SPSS: Ch2

 

Week 5

Sep 23

Logic of Control, Experimental Studies

Statistics: Normal distribution, Crosstab

Assignment 7 Due (Standard deviation)

Assignment 8 In class (Normal curve)

Assignment 9 In class (SPSS, Excel: St. Dev, Z)

Assignment 10 inQsit Exercise

PA: Ch4 (pp72-81), Ch5 (pp94-100), Ch6 (126-130)

SPSS: Ch4 (pp57-59), Ch5 (pp87-91),

Week 6

Sep 30

Scientific Inference

Assignment 11 Due (Crosstab 1)

Assignment 12 Due (Crosstab 2) Assignment 13 In class (Crosstab 3)

KKV: Ch2, Ch3

 

Week 7

Oct 7

Exam 1

 

Week 8

Oct 14

Observations and Measurement Error

Paper: Theory/Hypothesis Due

 

KKV: Ch4, Ch5

 

Week 9

Oct 21

Statistics: Hypothesis testing (Z, t, Chi-square)

Assignment 14 In class (Data for research paper )

PA: Ch6 (pp130-138) Ch7 (Pp145-147, Chi-square)

SPSS: Ch6 (One-sample t-test) Ch7 (Chi-square)

Week 10

Oct 28

Statistics: Measures of Association

Paper: Operationalization Due

Assignment 15 Due (Z, t)

Assignment 16 Due (Chi Square)

PA: Ch7 (Measures of Association)

SPSS: Ch7 (Measures of Association)

Week 11

Nov 4

Statistical Analysis III: Regression Analysis

Assignment 17 Due (Measures of Assoc)

PA: Ch8 (Correlation and Regression)

SPSS: Ch 8 (Correlation and Regression)

Week 12

Nov 11

Statistical Analysis IV: Review

Paper: Descriptive Stats Due

Assignment 18 Due (Correlation)

Assignment 19 Due (Regression)

 

Week 13

Nov 18

Exam 2

 

Week 14

Nov 25

No Class (Thanksgiving)

 

Week 15

Dec 2

Preparation for presentation

Assignment 20 Due (Test results for research paper)

 

Week 16

Dec 9

 

Exam 3

 

Week 17

Final exam period

Paper Due

Presentation

 

                                                        Note: *=Handouts