Note: The following list refers to courses taught during the academic year. In some cases, an alternate version of a class may be offered during the summer, but those may differ in the content and software from that listed here.

**Introductory & Intermediate**

Course #: **EDP 541**

Topics: Descriptive statistics, hypothesis testing, *t*-tests, ANOVA, correlation, simple regression, chi-square.

Software: R

Offered: Every Fall

Course #: **PSYC 510**

Topics: Descriptive statistics, hypothesis testing, probability, distributions, *t*-test, chi-square, ANOVA, regression, non-parametric tests, emphasizes working with real data from your own research.

Software: R

Offered: Every Fall

Course #: **EDP 641**

Topics: Multiple regression, logistic regression, intro to multilevel models (a.k.a. hierarchical linear modeling), emphasis on nesting of students w/in classes.

Software: R

Offered: Every Spring

Course #: **FSHD 537B**

Topics: Missing data, mediation, moderation, person-centered analyses.

Software: Mplus & R

Offered: Every Spring

Course #: **PSYC 507A/597A**

Topics: Philosophy of science, continuous parameter estimation, general linear model including ANOVA, correlation, multiple regression, mixed GLMs.

Software: TBD

Offered: Currently on hold

Course #: **ANTH 595D**

Topics: Approximately equal attention to [1] R programming (2) data visualization, and (3) statistical procedures using R. Statistical modeling includes t-tests, ANOVA, linear regression, multiple regression, mixed-models, clustering and dimension reduction.

Software: R

Offered: Every Fall

**Advanced**

Course #: **EDP 646A**

Topics: Matrix algebra, eigenvalue decomposition, T^{2}, MANOVA, discriminant, canonical correlations, PCA, EFA, CFA.

Software: R

Offered: Every Fall

Course #: **FSHD 617C**

Topics: Multilevel modeling (a.k.a. hierarchical linear modeling), emphasis on occasions nested w/in people, error structures, dyads, traditional maximum likelihood and Bayesian approaches.

Software: R

Offered: Fall, even years

Course #: **FSHD 617A**

Topics: Confirmatory Factor Analysis, Structural Equation Modeling, measurement invariance, latent mediation/moderation, latent APIMs, growth curves.

Software:Mplus & R

Offered: Fall, odd years

Course #: **EDP 558**

Topics: Classical Test Theory, Generalizability Theory, Item Response Theory.

Software: jMetrik & R

Offered: Spring, even years