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Contact the
Sociology Department for
enrollment information.
RATIONALE
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.
CERTIFICATION REQUIREMENTS
Coherent Set of Four Courses in Social Statistics.
Students will submit a list of four courses to the Methods and Statistics Area Committee for approval. 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:
- SOC 529
- Structural Equation Models for Social Sciences (cross-listed as CS&SS 526)
- CS&SS 542
- Event History Analysis
- SOC 536
- Loglinear Models and Logistic Regression for the Social Sciences (cross-listed as CS&SS 536)
- CS&SS 560
- Hierarchical Modeling in the Social Sciences
- CS&SS 564
- Bayesian Statistics for the Social Sciences
- SOC 565
- Inequality: Current Trends and Explanations (cross-listed as CS&SS 565)
- CS&SS 566
- Causal Modeling
- CS&SS 567
- Statistical Analysis of Networks
- CS&SS 594 (to be re-numbered to CS&SS 569)
- Visualizing Data
Minimum Grade Point-Average.
Students must obtain a minimum grade point average of 3.3 for their four
approved courses.
Methods Committee Evaluation.
When a student has completed all four courses,
s/he will submit to the committee a packet including grades received, syllabi
from the course, and any written papers completed for the courses. The Methods
area faculty in Sociology will evaluate the performance in the course. In most
cases this will be a pass (if the student has met the 3.3 grade point average,
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.
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