We're still actively developing this site. If you encounter any issues, please report them! - Report an issue

STATISTICS FOR SOCIOLOGISTS II

C&ESOC/SOC 361
Course Description

Applied linear regression modeling for social scientists. Bivariate and multiple regression, dummy variables, interactions, nonlinear relationships, indirect effects and omitted variable bias, outliers, heteroskedasticity, and mulitcollinearity; associated diagnostics and corrections. Use of Stata and/or SAS for dataset creation and analysis.

Prerequisties

C&ESOC/SOC 360 , ECON 310 , PSYCH 210 , GEOG 360, MATH/STAT 310 , STAT 301 , or graduate/professional standing

Satisfies
Credits

4

Offered

Fall, Spring

Grade Point Average
3.5

4.57% from Historical

Completion Rate
96.55%

-0.29% from Historical

A Rate
48.28%

26.93% from Historical

Class Size
29

42.47% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

Similar Courses

STATISTICS FOR SOCIOLOGISTS III

SOC 362

Generalized linear models with selected applications to social science data. Topics: Review of multiple regression; properties of estimators; general linear restrictions; instrumental variables; two-stage least squares; panel data; fixed and random effects; logit, probit, and related models.

APPLIED REGRESSION ANALYSIS

STAT 333

An introduction to regression with emphasis on the practical aspects. Topics include: straight-line model, role of assumptions, residual analysis, transformations, multiple regression (with some use of matrix notation), multicollinearity, subset selection, and a brief introduction to mixed models.

THEORY AND APPLICATION OF REGRESSION AND ANALYSIS OF VARIANCE II

STAT 850

Theory and applications of the general linear model; graphical methods; simultaneous inference; regression diagnostics; analysis of variance of fixed, random and mixed effects models; ANCOVA: violations of assumptions.

SEMINAR-MATHEMATICAL AND STATISTICAL APPLICATIONS IN SOCIOLOGY

SOC 952

Selected topics in measurement and model construction in social research.

STATISTICS FOR SOCIOLOGISTS I

C&ESOC/SOC 360

Presentation of sociological data; descriptive statistics; probability theory and statistical inference; estimation and tests of hypotheses; regression and correlation and the analysis of contingency tables.