Soc
H549/Soc 648
Introduction to
Quantitative Research
Students
registered for the course should visit http://www.carmen.osu.edu/
for course materials.
Lecture: Monday and Wednesday, 3:30-4:48, HC 0162
Professor: Zhenchao Qian. Office is 346 Bricker Hall. My office hours are 2:30 to 3:30 on Monday and Wednesday. My telephone number is 688-8612, and my email is qian.26@sociology.osu.edu. My webpage is http://www.sociology.ohio-state.edu/zcq.
Overview:
This course is designed to provide an introduction to the philosophy and logic of statistical methods used in social research. Statistics is a useful tool in social research, which can simplify information, compare group differences, and make inferences. The course introduces descriptive statistics, exploratory data analysis, probability theory, and inferential statistics. It aims to provide a solid foundation for studying advanced statistics and conducting data analyses.
Required Text:
Moore, David S. and George P. McCabe. 2003. Introduction to the Practice of Statistics. Third Edition. New York: W.H. Freeman and Company. The book has a website, http://bcs.whfreeman.com/ips4e/.
Recommended Texts:
Hamilton, Lawrence C. 2003. Statistics
with Stata. Duxbury.
Hagle, Timothy M. 1995. Basic Math For Social Scientists: Concepts.
Thousand Oaks: Sage Publications.
Hagle, Timothy M. 1996. Basic Math For Social Scientists: Problems and
Solutions. Thousand Oaks: Sage Publications.
Exams: There will be a mid-term and a final exam. (25% and 35% of the grade)
Assignments: There will be about five assignments.
Assignments consist of hands-on calculations and computing assignments (40% of
the grade)
Schedules:
I shall try to adhere to the following schedule. All readings should be done prior to the date of the class for which they are assigned.
|
Date |
Topic and M&M Readings |
|
9/24 |
Lecture 1: Introduction (Chapter 1: pp. 4-5) |
|
9/29 |
Lecture 2: Descriptive Statistic: One Variable (pp. 5-63), |
|
10/1 |
Lecture 3: Normal Distribution (pp. 63-84) |
|
10/6 |
Lecture 4: Descriptive Statistics: Two Variables (Chapter 2: pp. 104-185) |
|
10/8 |
|
|
10/13 |
Lecture 5. Producing Data: Experiments and Random Sampling (Chapter 3) |
|
10/15 |
Lecture 6. Probability (Chapter 4.1, 4.2, and 4.5) and Random Variables (Chapter 4.3 and 4.4) |
|
10/20 |
|
|
10/22 |
Lecture 7. Sampling Distributions (Chapter 5) |
|
10/27 |
|
|
10/29 |
Mid-Term |
|
11/3 |
Lecture 8. Introduction to Inference (Chapter 6) |
|
11/5 |
|
|
11/10 |
Lecture 9. Inference for Distributions (Chapter 7) |
|
11/12 |
|
|
11/17 |
Lecture 10. Inference for Proportions (Chapter 8) |
|
11/19 |
Lecture 11. Analysis of Two-Way Tables (Chapter 9) |
|
11/24 |
Lecture 12. Analysis of Variance (Chapter 12) |
|
11/26 |
|
|
12/1 |
|
|
12/3 |
Review |
|
12/8 |
3:30-5:18,
Final Exam |
Students with documented disabilities are responsible for making their needs known to the instructor and seeking available assistance in a timely manner. The syllabus is available in alternative formats upon request. Please contact Michelle Miller-Owens, 304 Bricker Hall, 292-9416.