Soc. 3155, Section 90: Quantitative Research Methods and Analysis, Spring 2011

 

General Information

Class Meets: 5:00 - 8:40 p.m. Tues. in H458

Office Hours:. T 9:30-11, Th 12–1:30

Instructor: Susan Janssen

Location: 251 ABAH

Phone: (218) 726-8767

 

Required Materials 

1. Textbook: Healey, Joseph. 2008. Statistics: A Tool for Social Research. (8th edition). Belmont, CA: Wadsworth Publishing.  ISBN 9780495096559. Available at UMD bookstore and various web stores.

2. Moodle Access: (Required): https://moodle.umn.edu/course/view.php?id=15559 Contains course materials, including handouts and assignments. 

3. Software: Computer work using SPSS is required for this class. Computers with SPSS on them are available in the classroom. SPSS is also available to CLA students at no charge.  It may be downloaded from the ITSS web site at http://www.d.umn.edu/itss/software/spss/. 

4. Calculator: is required for homework assignments and tests. An inexpensive model that can perform basic mathematical operations will suffice. There is no need to spend more than $10-$15 on a calculator. Any calculator that is also a communication device (such as a cell phone) will not be permitted during tests.

 

Course Information

1. Course Description and Objectives: Computation and interpretation of inferential statistics is the main objective. Sampling distributions, estimation, hypothesis testing, and hypotheses of difference and association will be covered. Multivariate analysis, including the concepts of interaction and control will be introduced. Understanding statistical concepts and drawing conclusions from numerical data will be emphasized. This course should prepare the student to be an informed consumer of statistics and will serve as excellent preparation for graduate level research methods courses as well as for using research methods and statistics in the workplace.

2. Prerequisites and Other Preparation: This is the second course in the sociology research methods sequence. In order to understand the material in this class, you will need to have a good background in research methods. You should have completed Soc. 2155 or an equivalent course. You should know some basic descriptive statistics, such as those covered in the first 3-4 chapters of the Healey text, including measures of central tendency, variability, and association. You may wish to review these chapters prior to starting this class.

 

Activities:

1. Lectures -. Lectures will cover the same material as the textbook, as well as additional material. Students who attend class regularly, take careful notes, and ask questions almost always do better on homework and exams than those who do not. This course covers a broad range of statistical material. For some people, considerable effort outside of class may be required. Because of the cumulative nature of the material, it is essential that students keep up with the reading assignments and homework. If you think you are falling behind or if you have difficulty with a concept or topic, you are encouraged to get help immediately. Help is available from the instructor and from the tutoring center in SCC 40.

2. Homework: Problems from the book and elsewhere will be assigned at regular intervals. Each assignment will include computer work. Unless you have SPSS on your personal computer, you will need to complete the computer work in class. Students are encouraged to work together; you may turn in group papers. Late homework will only be accepted under the conditions of the “late assignment” policy described below. Homework does not need to be typed, but must be written neatly. If I can't read it easily, I will deduct points.

3. Exams:  Will be a combination of closed-book multiple choice questions and open-book problem-solving questions. Each exam will be worth 75 points. The lowest of these three scores will be dropped. You must take the final exam regardless of your scores on the first three exams. The final exam score may not be dropped.

4. Group Project and Presentation: You will work with a small group of about 4 persons to create a scholarly research project and presentation. You will select a topic, conduct library research, formulate hypotheses, analyze data to test hypotheses, and present your results to the class. Handouts covering the specific requirements of the project will be made available as needed. Time will be made available to meet with your group in class, but you should plan on doing outside work on your own. The group work represents 20% of your grade in this class; therefore it is important that you make a commitment to your group, communicate with them each week, and carry out your responsibilities to the best of your ability.

5. Final Exam: Tuesday, May 10 at 6 p.m.   No early or late finals will be given, except in accordance with the official university final exam policy.   

 

General Policies, Grading System, and Class Expectations:

 

1. Grades: will be determined according to the following point distribution and scale:

Point Distribution:

 

Grading Scale:

 

Homework (5 @ 30 pts.)

150

450 or more pts.

A- to A

Exams (Best 2 of 3 @ 75 pts.)

150

400-449 pts.

B- to B+

Group Project proposal

  25

350-399 pts.

C- to C+

Group Project presentation

  75

300-349 pts.

D to D+

Final exam

100

under 300 pts.

F

Total possible points

500

 

 

 

2.  Expectations and Classroom Etiquette: It is expected that students will follow the UMD student conduct code. You are expected to attend class regularly, pay attention, make every effort to keep up and turn in assignments on time, ask for help if needed, and be polite and respectful in the classroom. Distracting behaviors such as walking in late, talking during lectures, ringing or vibrating cell phones, or text messaging, will not be tolerated. In turn, you can expect me to come to class prepared, know the material I teach, be available during office hours, provide up-to-date information on your progress, listen to your concerns, provide help when needed, and respect you as a student and human being.

3. Academic Integrity: It is expected that students will follow all aspects of the university's academic integrity policy . The consequences of violating this policy may include a lower or failing grade on a particular assignment, a lower or failing grade in the course, or sanctions imposed by the university. 

4. Late assignments: I will not accept late assignments, except according to the following: On the Moodle site, you will find a "late assignment coupon." This entitles you to turn in one assignment (with the exception of the final project and final exam) up to 1 week late. Within that time frame, I will accept the assignment with the coupon for full points. You are only allowed to use this coupon once. If you don't use it at all, you will receive 10 points extra credit.

5. Incompletes: In order to get a grade of "I" for this class, at least two thirds of the work must be completed with a passing grade and an incomplete agreement form must be turned in.

6. Withdrawals: You are free to withdraw from the class for any reason up to the end of the eighth week. After that, departmental permission is required. We do not consider failing grades to be grounds for withdrawal from a course. It is recommended that you evaluate your situation before the end of the eighth week.

7. Class Cancellation: If class is unexpectedly canceled due to inclement weather, instructor illness, or any other reason, you may assume that the activity scheduled for that day will take place at the next class session. This includes exams.

8. Students with disabilities: It is the policy and practice of the University of Minnesota Duluth to create inclusive learning environments for all students, including students with disabilities.  If there are aspects of this course that result in barriers to your inclusion or your ability to meet course requirements – such as time limited exams, inaccessible web content, or the use of non-captioned videos – please notify the instructor as soon as possible.  You are also encouraged to contact the Office of Disability Resources to discuss and arrange reasonable accommodations.   Please call 218-726-6130 or visit www.d.umn.edu/access for more information.

 

CALENDAR (Subject to change – check UMD email for announcements)

 

Date

Topic

Chapters

1/18

Explaining variation in social phenomena

1-4 (review)

 

Variability, Intro to probability

 5

 

 

 

1/25

Probability and sampling distributions

5, 6

 

 

 

2/1

Sampling distributions, estimation

6, 7

 

 

 

2/8

Estimation, continued

Hypothesis testing: one sample

7

 

 

 

2/15

Homework 1 due (probability, sampling distributions, estimation)

Exam 1: Covers chapters 4- 7

Hypothesis testing: one sample

 8

 

 

 

2/22

Hypothesis testing, one sample

 8

 

 

 

3/1

Hypotheses of difference: two samples

 9

 

 

 

3/18

Hypotheses of difference: more than two samples

Exam 2: Covers chapters 8, 9

Homework 2 due (hypothesis testing)

 10

 

 

 

3/15

Spring Break

 

 

 

 

 3/22

 Hypotheses of difference: more than two samples

Hypotheses of association: nominal and ordinal variables

Research proposal due

 10

11, 12 (skim)

 

 

 

3/29

Measures of strength of association

Multivariate analysis: contingency tables

Homework 3 due (analysis of variance)

13, 14.1 -14.5

16

 

 

 

 

4/5

Exam 3: Covers chapters 10-14, 16 (assigned sections)

Correlation and bivariate regression

Homework 4 due (analysis of contingency tables)

 

15

4/12

Bivariate Regression

 

 

 

 

4/19

Regression

17, handouts 

 

 

 

4/26

Prepare for presentations

Homework 5 due  (regression)

 

 

5/3

Presentation  night

 

 

 

 

5/10

Final exam 6 pm - (Covers entire semester, emphasis on 15, 17 and last portion of lectures)