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Syllabus
INTA 295 ---- Spring 2008
CROSS-NATIONAL RESEARCH METHODS

Dr. Charles Blake
Miller 2123 – 568-6344 –
BLAKECH@JMU.EDU
OFFICE HOURS: M 9-11, Tu 1:30-3:30, Th 11-12 and by appointment

BLACKBOARD WEBSITE: Click HERE to go the Blackboard site for INTA 295

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Syllabus for Spring 2008

This course introduces students to quantitative and qualitative approaches to research in the field of international affairs. The computer lab will enable students to develop basic skills in statistical analysis; lab exercises also reinforce and hone research and writing skills. With the guidance of the instructor, students will construct a research project that integrates the skills developed in the course and lab assignments.

EVALUATION:

Lab Assignments -- 15%
Test #1 -- 15%
Test #2 -- 15%
Research Project -- 30%
Final Exam -- 25%

PROCEDURES:

As a point of fairness to your classmates, the honor code must be observed at all times & written work must be handed in promptly. Tests must be handed in at the end of the class period. Lab work and written work handed in late will be penalized 5 points plus an additional 5 points for every additional 24-hour period. All work is to be original work done specifically for this course. Make-up exams and late course withdrawals will be permitted only under exceptional circumstances: do not assume that you will be allowed to take a make-up test or to withdraw from the course late in the semester. Readings should be completed by class time of the date listed. The professor reserves the right to alter this syllabus as circumstances demand. For further discussion of course policies, see the appropriate portion of the course website.

TEXTS:

Babbie, Earl. The Practice of Social Research. 11th ed.; New York: Wadsworth, 2007.
Babbie, Earl. SPSS Practice Workbook. New York: Wadsworth, 2007.

Additional readings will be made available in online form.

COURSE OUTLINE:

REMEMBER: Many of the dates in this syllabus are hyperlinked. Right-click on the active links to download outlines and tables associated with the day's class session. A menu will pop up; left-click on "save link as" to get a dialog box for downloading the file. Specify the appropriate drive, folder, and file name and then left-click on save to download the file. These are rich text format outline (RTF) files that are most compatible with Word. From Word you can modify formatting and/or print the outlines.

If your computer has Word installed, you also have the option of left-clicking on the link to load the file immediately into Word for editing and/or printing.

Part I: Basic Issues in Systematic Research

WEEK ONE: Introduction to Systematic Research

Jan. 8 – Introduction to the Scientific Method
== Babbie, pp.2-28

LAB: introduction to lab & software

Jan. 10 – Induction & Deduction; Theories & Hypotheses; Units of Analysis; The Role of Time
==Babbie, pp.43-57, 94-115

WEEK TWO: Measurement

Jan. 15 – Literature Reviews; Conceptualization and Levels of Measurement
==Babbie, pp.489-495, 121-142

LAB: exercise #1 in handout (levels of measurement)

Jan. 17 -- Reliability & Validity
== Babbie, pp. 142-150

WEEK THREE:  Causality & Research Design

Jan. 22 -- Causal Models & the Need for Control; Quantitative Approaches to Control
== Babbie, pp. 90-94, 431-446
{Research Question & Preliminary Bibliography DUE at 9:30am on 1/22}

LAB: exercise #2 in handout (quantitative approach to control)

Jan. 24 -- Experimental and Comparative Case Study Approaches to Control
== Babbie, pp. 221-241, 338-341
== HANDOUT

WEEK FOUR: Research Design

Jan. 29 --  WORKSHOP: pre-test review & discussion of research projects
{Causal Model DUE at 9:30am on 1/29}

LAB : exercise #3 in handout (research protocol & ethical treatment of subjects)

Jan. 31 -- TEST #1

Part II: Data Collection

WEEK FIVE: Qualitative & Quantitative Approaches; Sampling

Feb. 5 -- Qualitative Secondary Sources; Unobtrusive Measurement
== reading posted on the Course Documents portion of the Blackboard site
== Babbie, pp. 319-330

LAB: exercise #4 in handout (measurement workshop I)

Feb. 7 -- Cross-National Aggregate Data; Sampling
== Babbie, pp. 330-338, 180-216
NOTE: Central Limit Theorem demonstration is at http://www.stat.sc.edu/~west/javahtml/CLT.html

WEEK SIX: Sampling & Survey Research

Feb. 12 -- JMU ASSESSMENT DAY:  no class today & no lab session

Feb. 14 --  Sampling (cont.); The Basics of Survey Research; Asking Questions in Survey Research
== review Babbie re: sampling, pp.180-216
== Babbie, pp. 244-282

WEEK SEVEN: Survey Research (cont.)

Feb. 19 -- Measuring Attitudinal Intensity in Surveys
== Babbie, pp. 153-174

LAB: exercise #5 in handout (survey construction)

Feb. 21 -- Interpreting Surveys: an example
== HANDOUT
== Babbie, pp. A24-A29
{Partial Draft DUE at 9:30am on 2/21}

WEEK EIGHT: Data Collection (cont.)

Feb. 26 -- TEST #2

LAB: exercise #6 in handout (measurement workshop II)

Feb. 28 -- Research Workshop: discussion of research projects

Mar. 3-7 -- SPRING BREAK:  no class...

Part III: Quantitative Research Approaches

WEEK NINE: Descriptive Statistics

Mar. 11 -- Frequency Distributions; Measures of Central Tendency; Measures of Dispersion
== Babbie, pp.405-415
NOTE: An interactive standard deviation demo can be found at http://huizen.dds.nl/~berrie/javastats.html

LAB: exercise #7 in handout (descriptive statistics & charts)

Mar. 13 -- Crosstabulation
== Babbie, pp. 415-428

WEEK TEN: Inferential Statistics with Nominal & Ordinal Variables

Mar. 18 -- Nominal & Ordinal Measures of Association
== Babbie, pp. 450-460
== HANDOUT

LAB: exercise #8 in handout (nominal & ordinal statistics)

Mar. 20 -- Statistical Significance Tests: Chi-Square
==Babbie, pp. 459-470

WEEK ELEVEN: Inferential Statistics with Interval/Ratio Variables

Mar. 25 -- Correlation (r, r2) & Bivariate Regression (scatterplots, the regression line, outliers)
== review Babbie, pp. 455-457
NOTE: A site where you can test your ability to guess Pearson's r for different scatterplots is http://www.stat.uiuc.edu/courses/stat100/java/GCApplet/GCAppletFrame.html
NOTE: A site where you can manipulate the scatterplots to see the effect on the regression line is
http://stat-www.berkeley.edu/users/stark/Java/Html/Correlation.htm

LAB: preparation re: upcoming group presentations

Mar. 27 -- Project Troubleshooting

WEEK TWELVE: Working with Multivariate Regression

Apr. 1 -- Multivariate OLS Regression & Decisions about Multiple Regression
== review Babbie, pp. 458-459

LAB: exercise #9 in handout (multivariate regression)

Apr. 3 -- Interpreting Multiple Regression: One Example
== HANDOUT
{optional REGRESSION ANALYSIS EXERCISE assigned}

WEEK THIRTEEN: Research Presentations

Apr. 8 -- Groups I & II: Presentation of Research Article (done w/ PowerPoint) and class discussion
== readings posted on the Course Documents portion of the Blackboard site

LAB:  lab time may be used for group presentations; the lab exercise for this week is the presentation

Apr. 10 -- RESEARCH WORKSHOP

WEEK FOURTEEN: Research Presentations (cont.)

Apr. 15 -- Groups III & IV: Presentation of Research Article (done w/ PowerPoint) and class discussion
== readings posted on the Course Documents portion of the Blackboard site
{optional REGRESSION EXERCISE due at 9:30am on 4/21}

LAB: lab time to work on individual research projects

Apr. 17 -- Groups V & VI: Presentation of Research Article (done w/ PowerPoint) and class discussion
== readings posted on the Course Documents portion of the Blackboard site

WEEK FIFTEEN: Applied Review

Apr. 22 -- Survey Data Analysis
{Research Project DUE at 9:30am on 4/22}

LAB: no new lab exercise lab time for review

Apr. 24 -- Course Wrap-Up

**FINAL EXAM: Thursday, 5/1/08 8am to 10am**

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This page was last updated on: 01/02/08.
If you have comments or suggestions about this site, please send an e-mail to Charles Blake at blakech@jmu.edu.