Sociology | Statistical Techniques in Sociology I
S554 | 3666 | McManus

S554: Statistical Techniques in Sociology I   (3 CR)
3666 11:15A - 12:30P     MW   BH 246
S554:     Lab
3667 1:00P - 3:20P       MW   BH 108
Patricia McManus

This is the first semester of the two-course sequence in social
statistics required of graduate students in Sociology.  The
course takes a systematic approach to the exposition of the
general linear model for continuous dependent variables.  In
addition to laying the theoretical foundations for future social
science research, this course introduces students to the use of
computerized statistical analysis using the software program
Stata.  The course is organized into four sections.  The first
section of the course reviews the fundamental statistical
concepts that are the building blocks for regression analysis.
The purpose of this section is both to refresh your memory and to
provide a deeper, more formal presentation of familiar concepts.
The second section focuses on the assumptions and mechanics of
the classical linear regression model and introduces the model in
matrix form.  At the end of the second section you will have a
good mechanical knowledge of regression analysis.  The third
section deals with violations of the assumptions of the classical
linear regression model.  At the end of the third section you
will have a deeper theoretical and applied understanding of the
flexibility and limitations of the general linear regression
model for social science data.  The final section introduces
students to the use of structural equations models in social
science research.  The purpose of this brief section is to give
you some exposure to these complex models for continuous
dependent variables rather than to ask you to develop
sophistication with these techniques.

In addition to the regularly scheduled class periods, students
are required to attend lab sessions which focus on computing
methods and data analysis techniques.  Students who enroll in
this course have taken at least one statistics course at the
level of S250, the undergraduate course required of Sociology
majors.  Students are not expected to have a background in
calculus, but facility with algebra and knowledge of the
rudiments of statistical distribution theory and hypothesis
testing is a prerequisite.