Contact the Sociology Department for enrollment information, forms, and specifics.
A minor in social statistics is designed to provide students with a second marketable area of expertise and also provide them with important tools for carrying out quantitative research. Moreover the minor will build on the new curriculum developed by the Center for Statistics and the Social Sciences. Taking a coherent set of CSSS courses will expose students to the cutting edge of statistics and the social sciences.
Students will submit a Sociology Minor in Social Statistics form and supporting materials to the Sociology Graduate Program Assistant. The GPA will take care of submitting the packet to the Methods and Statistics Area Committee for approval. You can find the Sociology form and specific information on this Minor on the Minor Area Examination web page.
These courses must be more advanced than the required statistics and methods courses for the M.A. and Ph.D. degrees in Sociology. These courses should form a coherent set of courses in social statistics. All courses in CSSS will automatically qualify. For example, CSSS currently offers courses in generalized linear models, hierarchical models, Bayesian methods, event history analysis, simulation methods, and analysis of network data. In addition, relevant courses in Statistics, Biostatistics, Economics, and Sociology will likely be approved so long as they help form a coherent set of social statistics courses.
Students pursuing approval of a course plan that includes courses not offered by CSSS or not included on the preliminary list below must provide the committee with recent syllabi and a rationale for including these course(s) in their plan.
Preliminary list of approved courses:
Maximum Likelihood for Social Sciences
Structural Equation Models for Social Sciences (cross-listed as CS&SS 526)
Survey Research Methods
Sample Survey Techniques
Analysis of Categorical and Count Data (cross-listed as CS&SS 536)
Event History Analysis for the Social Sciences
Hierarchical Modeling in the Social Sciences
Bayesian Statistics for the Social Sciences
Statistical Analysis of Networks
Game theory for the Social Sciences
Multivariate Data Analysis for the Social Sciences
Special Topics in Social Sciences and Statistics
When a student has completed all four courses, s/he will submit to the Sociology Graduate Program Assistant a packet including grades received, syllabi from the course, and any written papers completed for the courses. The Graduate Program Assistant will provide the materials to the Methods area faculty in Sociology who will evaluate the performance in the course. In most cases, this will be a pass (if the student has met all requirements listed above for their cohort, and the courses taken form a coherent set). The committee can also give evaluations consistent with certifying the minor, such as a pass with distinction. Finally, the committee can use its discretion to deal with grading in different departments that may use different standards.