25sep2000
Syllabus:
Intermediate Statistical Methods, part 1 of 3
UCLA Sociology 210A. Enrollment number 747-058-200
Web Pages for Fall 2000
- Outline for course content
- ClassWeb
site for announcements, discussion board
- Syllabus (this document) for logistics
Class meetings
- Classroom: Tuesday and Thursday, 11:00 to 12:15, Hershey
1657
- Laboratory: To Be Arranged (Bring schedule to first class
meeting)
Professor
David D. McFarland.
Email: mcfarland@soc.ucla.edu.
Office: Hershey 2401, phone 825-6380.
Messages may be left with secretaries in Hershey 2201, phone 825-1313.
Office hours: TBA.
Usually but not always available right after class
for quick questions.
TA
Shige Song.
Email: sgsong@ucla.edu.
Office: TBA.
Mailbox in Hershey 2201.
Office hours: TBA.
Course Description
This is the first quarter of the year-long sequence that is
primarily for first year graduate students in the Department of
Sociology (and others who did not take it during their first
year). The A and B parts are required of all sociology graduate
students.
This sequence serves the triple purposes of (a) giving all
students some exposure to statistical reasoning of the sorts
practiced in various fields of sociology; (b) preparing students
for substantive coursework and readings that include quantitative
information, whether or not those students intend to do
quantitative research themselves; and (c) preparing students for
more advanced methodological courses.
210A, this first term of the sequence, focuses on three general
areas: descriptive statistics (mostly univariate);
probability and study design; and principles of statistical
inference. Throughout the course we will use networked computers
to access research resources, run analyses in STATA software, and
present results.
Relationships to Subsequent Courses
After completing 210A, students will continue in the winter
quarter in 210B (taught winter 2001 by Rebecca Emigh), which
focuses mainly on multiple regression and some close
relatives.
210C (taught spring 2001 by Rob Mare) focuses on more complex
multivariate models, especially those with dependent variables
for which ordinary multiple regression is inappropriate.
Substantive topics whose courses explicitly list prerequisites in
the 210 sequence include: social psychology (224AB), family and
economic systems (225), social demography (226AB), social
stratification and mobility (239AB), and marriage formation and
dissolution (257). And for many other topics the skills covered
in the 210 sequence would be useful, if not explicitly
prerequisite.
Beyond the 210 sequence there are more advanced statistical
courses, including:
M242, Analysis of Data with Qualitative and Limited Dependent
Variables; and
M286, Applied Event History Analysis.
Other methodological courses which
have prerequisites in the 210 sequence include:
Social Network Methods (208AB),
Survey Data Analysis (212AB),
Techniques of Demographic and Ecological Analysis (213AB),
Experimental Sociology (215AB), and
Survey Research Design (216AB).
[Study Design (212C) shows no explicit prerequisite.]
Prerequisite
Sociology M18 (introductory statistics) or permission of instructor.
(Around campus there are several introductory statistics courses,
such as Psychology 100A and Biostatistics 100A, as well as our
own Sociology M18.)
Do not be misled by the registrar's notation "No enforced
requisites". All that means is that URSA doesn't check
whether students have or have not met the prerequisites.
As defined in the registrar's dictionary,
"No enforced requisites" does not mean "no prerequisite",
only that the prerequisite is not sufficiently simple-minded for
URSA to enforce it automatically. URSA could be programmed to
lock out anyone whose UCLA record does not include Soc M18. But
URSA does not know the corresponding course numbers at the
various colleges in which our graduate students did their
undergraduate work. URSA may be smart enough to understand "Soc.
M18", but it is not smart enough to understand "or
equivalent".
That said, I will not be checking people's transcripts either.
Furthermore, each part of the course will include a bit of review
material, for the student whose intro stat was taken some time
ago. But any student who takes this without having had a previous
statistics course should plan to work doubly hard; this course is
really not intended as a first statistics course.
Requirements and Grading
- class participation (approx. 20%). Students will be called on
to present to the class their results for some of the assigned
exercises. Depending on how well that works, I reserve the option
of giving some brief unannounced quizzes.
Also, students will give brief reports on individually selected
sociology journal articles that utilize either the statistical
tools then being covered, or elaborations thereof (anticipating
materials in subsequent courses).
- exams (approx. 60%). There will be three open-book exams.
Some, but not all, of them may be take-home.
- take-home assignments (approx. 20%). In addition to
assignments gone over in class (see above), others will be turned
in for grading.
Books and Supplies
The UCLA Store has been
asked to stock the following books:
-
Hamilton, Lawrence C. 1998.
Statistics with STATA 5.
Belmont CA: Duxbury.
ISBN 0-534-26559-6
-
Moore, David S., and George F. McCabe 1999.
Introduction to the Practice of Statistics, 3rd edn.
New York: W. H. Freeman.
ISBN 0-7167-3502-4
In addition to the books, you will need:
- one PC-formatted 100 meg Zip disk. Note: Get the 100 meg
size of Zip disk, not the 250, for compatibility with both sizes
of Zip drives, including the 100 meg drive in my office; but if
you are buying a new Zip drive, you probably want the 250 meg
drive, which works with both sizes of disks.
- someplace to store backup copies of everything you put on
your Zip disk. This might be a second Zip disk, for example, or
the hard disk of your home computer if you have one; I don't
really care where you keep your backup copies, but you should not
be so foolish as to have only one copy of your work.