RUTGERS UNIVERSITY
Department of Sociology
Fall, 2004


Soc. 920:311:04-05, Introduction to Social Research (TF2, 3*)

Prof. Patricia Roos; T.A.: Mary Kovacs

Offices: Roos: Rm. A-342, Lucy Stone Hall (Livingston campus); phone: (732) 445-5848
Kovacs: Rm. A252, Lucy Stone Hall (Livingston campus); phone: (732) 445-6870

Office hrs: Roos: Tuesdays and Fridays, 11:30-12:30 (or by appointment)
Kovacs: Mondays 9-10, Thursdays 11-12 (or by appointment)

Emails: Roos: roos@rutgers.edu
Kovacs: mkovacs@sociology.rutgers.edu

 


I. Course Objectives

This course will present an overview of social scientific methods--that is, the process whereby researchers in the behavioral and social sciences investigate theoretically-informed hypotheses about the behavior of individuals and the organization of social institutions. We will address the major components of the research process, including the development of theoretically-informed hypotheses, the operationalization of theoretical concepts, the collection of data, the testing of hypotheses through data analysis, and the presentation of research results. Through class discussions, readings, and assignments, you will gain expertise in the practice of social science research. You will develop the skills necessary to read and evaluate social science research in an intelligent and critical manner, and learn statistical data analysis. You will use the web to do research, and you will test hypotheses on a representative sample of the U.S. population in 2002 (General Social Survey).

Note: you must have a Rutgers computer account for this class. If you don't have an account, go immediately to your nearest campus hub and get one!

 


II. Readings/Resources

There is one required book for this course, available at the Livingston College bookstore:

Chambliss, Daniel F., and Russell K. Schutt
2003. Making Sense of the Social World: Methods of Investigation. Thousand Oaks, CA: Pine Forge Press.

Pine Forge study site for Chambliss & Schutt: http://www.pineforge.com/MSSW/index.htm

Additional readings are (or will be) available online, as per the course outline below.

 

III. Course Requirements

The grade for the course will be based on:

a. attendance at lecture twice each week (TF2); if attendance drops, you will get pop quizzes, or we will move to taking attendance;

b. attendance at scheduled recitation section (either T3* or F3*); this is a 4-credit course, and you must attend recitations to pass the course; we will take attendance;

c. first examination (20 percent; tentatively scheduled for date Friday, October 8th);

d. second examination (20 percent; tentatively scheduled for Friday, November 5th);

e. six assignments that require application of the techniques learned in class; these assignments will be available online on a regular basis; one of the assignments will involve class presentations by groups; late assignments will be penalized (1/2 point each day they are late) and those not turned in within one week of due date will not be graded (40 percent);

f. a final project involving hypothesis construction, data analysis, and presentation of research results that builds on the written assignments; selection of topics will be based on data available from a representative sample of the U.S. population in 2002 (20 percent; due Friday, December 17th).

g. class participation will be taken into account for those who are on the borderline between grades (e.g., B to a B+; C+ to B).

The two examinations will be open book and will consist of both short essays and problems. You will need a calculator that allows for scientific notation for the two exams and for some of the assignments. There are NO makeups for the two examinations without a WRITTEN excuse from your physician.

NOTE: ALL course requirements must be completed to get a passing grade in the course.

 


IV. Student Responsibility

You must attend class sessions and recitations and participate in discussions. You will not pass this course if you do not attend class and recitations regularly. Assigned readings should be completed prior to class meetings to facilitate class discussion, and you should come to class prepared to ask questions about the lectures, assignments, and/or reading material.

Because unforeseen circumstances may require changes in the assigned readings, the course outline, or examination dates, you are responsible not only for due dates specified in the syllabus, but also for any handouts or announcements made in class. Please let me or the TA know if you must miss class for a religious holiday or major medical issue, and we will ensure that you can make up the material.

You are encouraged to consult with the instructor and/or teaching assistant about any problems you may encounter with lectures, reading material, or class assignments. Do not wait until the class is almost over before coming in for assistance. Remember: If you are a Sociology major or minor (or a Criminal Justice major) you must get at least a C in this course to have it count toward your degree.

 


V. Academic Integrity

This course will be conducted in full accordance with the university's "Policy on Academic Integrity." Academic dishonesty includes (but is not limited to) quoting or paraphrasing without attribution; submitting work for more than one course without the instructor's permission; copying from, or assisting, other students on exams; plagiarizing major portions of assignments; using a purchased paper; presenting other's work as your own; altering a graded exam; theft of exams. [For the complete policy, click here.]

We will not accept any exams, assignments, or papers from student involved in dishonest behavior, and we are required to report such students to their college dean. Because grades in this course will be based on a curve, students engaging in dishonest behavior hurt all students. As the Policy on Academic Integrity states: "Students are responsible for knowing what the standards [for academic integrity] are and for adhering to them. Students should also bring any violations of which they are aware to the attention of their instructors."



VI. Course Outline (and approximate dates)

I. Introduction to Social Science Inquiry (Sept. 3-7)
A. The scientific method
B. Theory and method
C. Deduction and induction

Readings: Chs. 1-2

II. The Research Process (Sept. 10-17)
A. Research design
B. Variables and variation
C. Units of analysis
D. Ecological fallacy
E. Conceptualization, operationalization, measurement
F. Reliability and validity

Readings: Ch. 3

III. Association and the Logic of Causation (Sept. 21-28)
A. Association vs. causality
B. Cause and effect
C. Determinism
D. The elaboration paradigm

Readings: Chs. 5 (pp. 102-6), 9 (pp. 239-40)
Additional reading for elaboration paradigm available on electronic reserve at Kilmer: Earl Babbie, The Practice of Social Research, 10th ed. (Ch. 15) [click on link->Find Reserves->type in "Roos", click "Instructor," click on "Roos"]

IV. Testing Causal Hypotheses: Qualitative Analysis (Oct. 1-5)
A. Field research
B. Roles of observers
C. Sampling and data collection

Readings: Ch. 7


EXAM ONE: Friday, October 8th


V. Testing Causal Hypotheses: The Classic Experiment (Oct. 12-22)
A. Independent and dependent variables
B. Experimental and control groups
C. Quasi-experimental designs

Readings: Ch. 5 (pp. 107-32)

VI. Testing Causal Hypotheses: Survey Research (Oct. 26-Nov. 2)
A. The logic of sampling
1. Concepts and terminology
2. Sampling theory and sampling distribution
3. Sampling design

Readings: Ch. 4

B. Survey research
1. Questionnaires
2. Survey designs
3. Evaluation research

Readings: Chs. 6, 8


EXAM TWO: Friday, November 5th


VII. Ethics in Social Science Research (Nov. 9-19)
A. Ethics in the research process
B. The politics and use of social research

Readings: Reread ethics sections in Chs. 2, 6, 7, 8, 9

Rutgers Policy on Human Subjects Research (read in its entirety)
(additional readings online for class presentations; see Assignment 5, when available)

VIII. Data Analysis: The Empirical Testing of Research Hypotheses (Nov. 23-Dec. 10)
A. Descriptive statistics: univariate analysis; measures of central tendency and dispersion
B. Descriptive statistics: bivariate analysis, chi square

Readings: Chs. 9, 10, Appendix A
(additional electronic reserve online at Kilmer: Descriptive Statistics, and Measuring Association)


FINAL PAPER: Friday, Dec. 17th, in Rm. A-342 Lucy Stone Hall (put under the door)